Optical signal convolution processing method, spectrum reconstruction method, device, system and medium

Abstract

The present application discloses a method for convolution processing of optical signals, a method for spectral reconstruction, a device, a system and a medium, wherein the optical signal to be processed is input into a pre-built convolution spectrometer to obtain the energy intensity information output by the photodetector in the convolution spectrometer; wherein the convolution spectrometer also includes an optical system for inputting a response wave to the photodetector according to the optical signal to be processed, the transmission response information of the optical system is shiftable and periodic in the spectral domain, and the energy intensity information is the result of the cyclic convolution between the transmission response information of the optical system and the spectral information of the optical signal to be processed. Efficient and convenient convolution processing of optical signals is achieved on the basis of realizing the reuse of the rich information of the optical signal itself in the spectral domain. It is expected to play an important role in many related fields such as spectral detection, spectral imaging, and even optical computing.

Description

Technical Field

[0001] The present application relates to the technical field of optical signal processing, and in particular to an optical signal convolution processing method, a spectrum reconstruction method, a device, a system and a medium. Background Art

[0002] As a foundational mathematical tool, convolution is widely used in countless engineering fields, such as communication signal processing, image processing, artificial intelligence algorithms, etc. At present, most common convolutions are implemented on electrical platforms, such as through multi-layer loop calculations of the central processing unit (CPU) or parallel calculations of the graphics processing unit (GPU). However, with the surge in data volume and the gradual demise of Moore's Law, electronic computing faces many limitations in energy consumption, bandwidth, and latency.

[0003] However, optical signal processing has the characteristics of large bandwidth, low latency, and low energy consumption. The relevant fields have been spending a lot of effort trying to realize convolution operations on optical platforms. For example, wavelength division multiplexing technology is used to multiplex multiple wavelengths to achieve parallel operations. However, these technologies can only use a limited number of wavelengths and cannot reuse the rich information of the optical signal itself in the spectral domain. Summary of the invention

[0004] The present application aims to solve one of the technical problems in the related art to a certain extent. To this end, the present application provides an optical signal convolution processing method, a spectrum reconstruction method, a device, a system and a medium.

[0005] As a first aspect of the present application, a method for convolution processing of an optical signal is provided, wherein the method comprises:

[0006] The optical signal to be processed is input into a pre-built convolution spectrometer to obtain energy intensity information output by a photodetector in the convolution spectrometer; wherein the convolution spectrometer also includes an optical system for inputting a response wave to the photodetector according to the optical signal to be processed, and the transmission response information of the optical system is shiftable and periodic in the spectral domain, and the energy intensity information is a circular convolution result between the transmission response information of the optical system and the spectral information of the optical signal to be processed.

[0007] Optionally, the optical system includes a plurality of cascaded optical elements and a plurality of phase modulators respectively arranged on each of the optical elements, the optical elements are used to generate periodic response waves according to incident light signals, and the phase modulators are used to modulate the periodic response waves of the corresponding optical elements.

[0008] As a second aspect of the present application, a method for reconstructing an incident spectrum is provided, wherein the method comprises:

[0009] According to the optical signal convolution processing method as claimed in claim 1, obtaining energy intensity information corresponding to the incident optical signal to be reconstructed;

[0010] Acquiring pre-calibrated transmission response information of the optical system;

[0011] According to the energy intensity information corresponding to the incident optical signal to be reconstructed and the transmission response information, spectrum reconstruction information of the incident optical signal to be reconstructed is determined.

[0012] Optionally, determining the spectrum reconstruction information of the incident optical signal to be reconstructed according to the energy intensity information corresponding to the incident optical signal to be reconstructed and the transmission response information includes:

[0013] Discrete Fourier transform processing and inverse discrete Fourier transform processing are performed on the energy intensity information corresponding to the incident optical signal to be reconstructed and the transmission response information to determine the spectrum reconstruction information of the incident optical signal to be reconstructed.

[0014] Optionally, in the step of performing discrete Fourier transform processing and inverse discrete Fourier transform processing on the energy intensity information corresponding to the incident optical signal to be reconstructed and the transmission response information to determine the spectral reconstruction information of the incident optical signal to be reconstructed, the spectral reconstruction information of the incident optical signal to be reconstructed is determined by the following formula:

[0015]

[0016] In formula (a), r[λ] represents the spectral reconstruction information of the incident optical signal to be reconstructed, λ represents the wavelength, IDFT(…) represents the inverse discrete Fourier transform calculation, DFT(…) represents the discrete Fourier transform calculation, Output[t] represents the energy intensity information corresponding to the incident optical signal to be reconstructed, t represents the time, and T[λ] represents the transmission response information of the optical system.

[0017] As a third aspect of the present application, an electronic device is provided, wherein the electronic device includes:

[0018] one or more processors;

[0019] A memory having one or more computer programs stored thereon, wherein when the one or more computer programs are executed by the one or more processors, the one or more processors implement any of the following:

[0020] According to the first aspect of the present application, a method for convolution processing of an optical signal is provided;

[0021] According to the second aspect of the present application, a method for reconstructing an incident spectrum is provided.

[0022] As a fourth aspect of the present application, a light signal convolution processing system is provided, wherein the light signal convolution processing system includes a convolution spectrometer and an electronic device provided according to the third aspect of the present application, the convolution spectrometer includes a cascaded optical system and a photodetector, the transmission response information of the optical system is shiftable and periodic in the spectral domain, the optical system is used to input a response wave to the photodetector according to an input light signal to be processed, the photodetector is used to output energy intensity information according to the response wave input by the optical system, and the energy intensity information is a circular convolution result between the transmission response information of the optical system and the spectral information of the light signal to be processed.

[0023] Optionally, the optical system includes a plurality of cascaded optical elements and a plurality of phase modulators respectively arranged on each of the optical elements, the optical elements are used to generate periodic response waves according to incident light signals, and the phase modulators are used to modulate the periodic response waves of the corresponding optical elements.

[0024] Optionally, the optical element is any one of the following: an asymmetric Mach-Zehnder interferometer, a micro-ring resonant cavity structure, an asymmetric Michelson interferometer, and a Fabry-Perot resonant cavity.

[0025] As a fifth aspect of the present application, a computer-readable medium is provided, on which a computer program is stored, wherein when the computer program is executed by a processor, any of the following is implemented:

[0026] According to the first aspect of the present application, a method for convolution processing of an optical signal is provided;

[0027] According to the second aspect of the present application, a method for reconstructing an incident spectrum is provided.

[0028] In the optical signal convolution processing method provided in the embodiment of the present application, a convolution spectrometer including an optical system and a photodetector that are periodic and can be translated in the spectral domain for transmission response information is pre-constructed, and the optical signal to be processed is input into the convolution spectrometer. The optical system uses the timing translation of the periodic transmission response information to complete the convolution operation on the optical signal to be processed in the spectral domain to obtain a response wave. The optical system then inputs the response wave into the photodetector, and the photodetector detects the response wave to obtain the convolution result, i.e., the energy intensity information of the response wave. This completes efficient and convenient optical signal convolution processing on the basis of reusing the rich information of the optical signal itself in the spectral domain.

[0029] Most importantly, the constructed convolution spectrometer and the proposed optical signal convolution processing method, thanks to their own physical significance and high-density frequency domain information, are expected to play an important role in many related fields such as spectral detection, spectral imaging, and even photonic computing. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The present application is further described below in conjunction with the accompanying drawings:

[0031] Figure 1 It is a flowchart of an implementation method of the optical signal convolution processing method provided in an embodiment of the present application;

[0032] Figure 2a It is an operation schematic diagram of the optical signal convolution processing method provided in an embodiment of the present application;

[0033] Figure 2b It is a schematic diagram of implementing a circular convolution operation in the spectral domain provided by an embodiment of the present application;

[0034] Figure 3 It is a flow chart of an implementation method of the incident spectrum reconstruction method provided in the embodiment of the present application;

[0035] Figure 4 is a flow chart of another implementation of the incident spectrum reconstruction method provided in an embodiment of the present application;

[0036] Figure 5a It is a schematic diagram of a verification process provided by an embodiment of the present application;

[0037] Figure 5b It is a verification effect schematic diagram provided by an embodiment of the present application;

[0038] Figure 5c It is another verification effect schematic diagram provided in the embodiment of the present application;

[0039] Figure 6 It is a flow chart of an implementation of an electronic device provided in an embodiment of the present application;

[0040] Figure 7 It is a schematic diagram of a computer-readable medium provided in an embodiment of the present application.

[0041] Description of Reference Numerals

[0042] 101: Processor 102: Memory

[0043] 103: I / O interface 104: bus DETAILED DESCRIPTION

[0044] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The embodiments based on the embodiments are intended to be used to explain the present application and cannot be understood as limiting the present application.

[0045] References to "one embodiment" or "an example" or "an example" in this specification mean that a particular feature, structure, or characteristic described in conjunction with the embodiment itself may be included in at least one embodiment disclosed in the present application. The appearance of the phrase "in one embodiment" in various places in the specification does not necessarily refer to the same embodiment.

[0046] At present, the optical signal convolution processing technologies proposed in related fields can only utilize a limited number of wavelengths and cannot reuse the rich information of the optical signal itself in the spectral domain.

[0047] In view of this, the applicant of the present application proposes to pre-construct a convolution spectrometer including an optical system and a photodetector that have transmission response information that can be shifted in the spectral domain and has a periodicity, and utilize the timing shift of the periodic transmission response of the optical system to complete the convolution operation on any incident light signal in the spectral domain, and use the photodetector to detect the convolution result, thereby realizing the reuse of the rich information of the light signal itself in the spectral domain.

[0048] As a first aspect of an embodiment of the present application, a method for convolution processing of an optical signal is provided, wherein: Figure 1 As shown, the method may include the following steps:

[0049] In step S110, the optical signal to be processed is input into a pre-built convolution spectrometer to obtain energy intensity information output by a photodetector in the convolution spectrometer; wherein the convolution spectrometer also includes an optical system for inputting a response wave to the photodetector according to the optical signal to be processed, and transmission response information of the optical system is shiftable and periodic in the spectral domain, and the energy intensity information is a circular convolution result between the transmission response information of the optical system and the spectral information of the optical signal to be processed.

[0050] In the embodiments of the present application, there is no specific limitation on the optical system, and any optical system that can transmit response information that is shiftable and periodic in the spectral domain and can output a response wave according to an input optical signal can be used.

[0051] In the embodiments of the present application, the photodetector is not specifically limited, and any photodetector that can detect the energy intensity information of the response wave from the optical system can be used. For example, it can be an integrated photodetector, a patch-type germanium photodetector, a III-V photodetector, etc., or a photosensitive element such as a charge coupled device (CCD) or a complementary metal oxide semiconductor (CMOS).

[0052] The pre-built convolution spectrometer is different from existing dispersion type, narrowband filtering type, and computational reconstruction type spectrometers in terms of the underlying operating principle. It is a new type of spectrometer. In terms of performance, this convolution spectrometer has many advantages, such as simple device structure, large detection bandwidth, high recovery accuracy, and low computational burden.

[0053] like Figure 2a As shown, it is an operation schematic diagram of the optical signal convolution processing method provided in an embodiment of the present application. It can be seen that the pre-built convolution spectrometer includes a cascaded optical system and a photodetector. The optical system has a periodic response and the response can be shifted. An arbitrary input spectrum is input into the optical system, and the optical system outputs the generated response wave to the photodetector, thereby realizing the convolution processing of an arbitrary input spectrum and obtaining the convolution result.

[0054] In the optical signal convolution processing method provided in the embodiment of the present application, a convolution spectrometer including an optical system and a photodetector that are periodic and can be translated in the spectral domain for transmission response information is pre-constructed, and the optical signal to be processed is input into the convolution spectrometer. The optical system uses the timing translation of the periodic transmission response information to complete the convolution operation on the optical signal to be processed in the spectral domain to obtain a response wave. The optical system then inputs the response wave into the photodetector, and the photodetector detects the response wave to obtain the convolution result, i.e., the energy intensity information of the response wave. This completes efficient and convenient optical signal convolution processing on the basis of reusing the rich information of the optical signal itself in the spectral domain.

[0055] Most importantly, the constructed convolution spectrometer and the proposed optical signal convolution processing method, thanks to their own physical significance and high-density frequency domain information, are expected to play an important role in many related fields such as spectral detection, spectral imaging, and even optical computing.

[0056] For example, it can play an important role in reconstructing arbitrary incident spectral information, optical coherence tomography (OCT), and many other aspects. Optical coherence tomography is a non-invasive imaging technology that uses the principle of light interference to measure the reflected or scattered light signals to generate a tomographic image of the sample to be tested. Since the OCT system is based on the interference of light, the optical signal to be tested naturally contains rich spectral information: these spectral information reflect the reflectivity changes of the sample in different layers (i.e., different depths). The constructed convolution spectrometer, thanks to its ability to resolve high-density frequency domain information, is very suitable for detecting the signals faced by the OCT system. The ultra-high frequency domain resolution accuracy of the proposed convolution spectrometer can bring excellent detection depth to the OCT system.

[0057] The constructed convolution spectrometer and the proposed optical signal convolution processing method can also be used in some optical computing scenarios. For example, by designing the incident spectrum and the transmission response of the convolution spectrometer, specific information can be encoded on the two spectra, and then convolution operations can be performed in the optical domain in a physical way, thereby replacing the traditional computer method of performing convolution operations through transistors. It should be noted that the input spectrum can be based on a continuous light source or a discrete light source such as a comb laser.

[0058] Mathematically, the convolution operation of two time series signals x(t) and y(t) can be strictly expressed as:

[0059]

[0060] In formula (1), * represents a convolution operation and τ represents an integral variable.

[0061] In practical engineering, continuous time series signals need to be discretized in the form of digital signals. Therefore, x(t) and y(t) are denoted as x[n] and y[n], and formula (1) can be rewritten as:

[0062]

[0063] Since the length range of discrete sequences x[n] and y[n] is usually limited, the convolution operation will not be performed in an infinite interval. In actual engineering, the lengths of the two sequences are usually padded to the same length by adding zeros, denoted as N, and then periodically extended. At this time, formula (2) can be further rewritten as an N-point circular convolution performed within a finite length N:

[0064]

[0065] In formula (3), Represents a circular convolution operation, where the value of n is in the range of 0, 1, 2, ..., N-1; ((...)) N Represents the cyclic shift of a discrete sequence with a period of N, R N [n] represents a matrix sequence of length N.

[0066] The above formulas (1), (2) and (3) describe the mathematical background of the convolution operation of digital signals on an electrical platform through floating-point operations.

[0067] The applicant of this application proposes that it is also possible to complete the convolution operation of optical signals on an optical platform. Assuming that the transmission response information of an optical system can be expressed as T(λ), by designing the optical system, T(λ) can be made to satisfy periodicity in the spectral domain. Assuming that from λ0 to λ n is a period. At the same time, through certain technical means such as mechanical optical path modulation and material refractive index modulation, the translation of T(λ) in the spectral domain can be achieved in time sequence, which is recorded as T(λ+Δλ(t)). Then, for such an optical system in which T(λ) is translatable and periodic in the spectral domain, assuming that there is an incident spectral signal r(λ), the energy that can be detected by the photodetector at the output end of the optical system will be equal to the integral of r(λ) and T(λ) with respect to the wavelength (assuming that the incident signal is between λ0 and λ n (within the range):

[0068]

[0069] In formula (4), T * It represents the flip of T in the wavelength domain. The flip is only for mathematical convenience and has nothing to do with the optical system itself. In addition, the wavelength shift can be positive or negative, so the positive and negative signs in front of Δλ(t) can be arbitrary. In actual engineering, assuming that from λ0 to λ n By sampling N wavelength points within the period range, formula (4) can be further expressed in the form of a discrete sequence to obtain the circular convolution of r(λ) and T(λ):

[0070]

[0071] In formula (5), Δλ[t] represents the sequence of wavelength shift over time, and its shift step is equal to the period length (λ n -λ0) and the number of sampling points N. The value range of t is: 0, 1, 2, ..., N-1.

[0072] Comparing formula (3) and formula (5), it can be seen that formula (5) strictly conforms to the standard definition of discrete circular convolution in mathematical terms, that is, the energy detected by the photodetector at the output end of the optical system is the convolution of the incident spectrum information and the transmission response information of the optical system in the spectral domain (i.e., wavelength domain). Figure 2b As shown in the figure, it is a schematic diagram of implementing the circular convolution operation in the spectral domain provided by the embodiment of the present application. It can be seen that in the wavelength domain λ0 to λ N-1 The circular convolution of r(λ) and T(λ) is the energy intensity information.

[0073] According to the above formulas (4) and (5), it can be known that the optical system provided in the embodiment of the present application completes the convolution operation on any incident spectral information in the spectral domain through its periodic timing shift of the transmission response information, and the convolution result is output in the time domain in the form of energy intensity detected by the photodetector.

[0074] As described above, through certain technical means such as mechanical optical path modulation, material refractive index modulation, etc., the timing of the translation of the periodic transmission response information of the optical system in the spectral domain can be achieved. In addition, as an optional specific implementation method, by cascading multiple optical elements with periodic transmission response information, the transmission response information of the entire optical system can be shifted to a greater extent in the spectral domain.

[0075] Accordingly, in some embodiments, the optical system includes a plurality of cascaded optical elements and a plurality of phase modulators respectively arranged on each of the optical elements, the optical elements are used to generate periodic response waves according to incident light signals, and the phase modulators are used to modulate the periodic response waves of the corresponding optical elements.

[0076] The applicant of this application further proposed that since the convolution result of the incident spectral information and the transmission response information of the optical system is output in the time domain in the form of energy intensity detected by the photodetector, then based on the energy intensity information detected by the photodetector and the transmission response information of the optical system, arbitrary incident spectral information can be reconstructed.

[0077] As a second aspect of the embodiment of the present application, a method for reconstructing an incident spectrum is provided, wherein: Figure 3 As shown, the method may include the following steps:

[0078] In step S210, energy intensity information corresponding to the incident optical signal to be reconstructed is obtained according to the optical signal convolution processing method;

[0079] In step S220, the pre-calibrated transmission response information of the optical system is obtained;

[0080] In step S230, spectrum reconstruction information of the incident optical signal to be reconstructed is determined according to the energy intensity information corresponding to the incident optical signal to be reconstructed and the transmission response information.

[0081] Among them, the optical signal convolution processing method involved in step S210 is provided by the first aspect of the embodiment of the present application. That is, step S210 may include the following steps: inputting the incident light signal to be reconstructed into a pre-built convolution spectrometer to obtain the energy intensity information output by the photodetector in the convolution spectrometer. Among them, the convolution spectrometer also includes an optical system for inputting a response wave to the photodetector according to the incident light signal to be reconstructed, the transmission response information of the optical system is shiftable in the spectral domain and has periodicity, and the energy intensity information is the circular convolution result between the transmission response information of the optical system and the spectral information of the incident light signal to be reconstructed.

[0082] In the incident spectrum reconstruction method provided in the embodiment of the present application, a convolution spectrometer including an optical system and a photodetector whose transmission response information is shiftable and periodic in the spectral domain is pre-constructed, and the incident light signal to be reconstructed is input into the convolution spectrometer. The optical system inputs the response wave into the photodetector to obtain energy intensity information output by the photodetector. The energy intensity information is essentially the result of convolution processing of the spectral information of the incident light signal to be reconstructed by the optical system in a physical form in the spectral domain. Based on the energy intensity information and the transmission response information of the optical system, the spectral reconstruction information of the incident light signal to be reconstructed can be obtained.

[0083] Since the convolution processing of the optical signal in the embodiment of the present application is essentially performed in a physical form in the spectral domain by the optical system, the computational burden is extremely small, and only two discrete sequences of energy intensity information and transmission response information need to be processed by Fourier transform twice and one inverse Fourier transform once to obtain the spectrum reconstruction information. Accordingly, in some embodiments, the spectrum reconstruction information of the incident optical signal to be reconstructed is determined based on the energy intensity information corresponding to the incident optical signal to be reconstructed and the transmission response information (i.e., step S230), such as Figure 4 As shown, the following steps may be included:

[0084] In step S231, discrete Fourier transform processing and inverse discrete Fourier transform processing are performed on the energy intensity information corresponding to the incident optical signal to be reconstructed and the transmission response information to determine the spectrum reconstruction information of the incident optical signal to be reconstructed.

[0085] According to the convolution theorem, the Fourier transform of the convolution of two functions is equal to the product of their respective Fourier transforms. By performing discrete Fourier transform on both sides of the above formula (5), we can obtain:

[0086]

[0087] In formula (6), represents a circular convolution operation, DFT(…) represents the discrete Fourier transform processing (Discrete Fouir Transform) of a sequence, T[λ] represents the transmission response information of the optical system, r[λ] represents the incident spectrum information, and Output[t] represents the energy intensity information detected by the photodetector.

[0088] It can be seen that in formula (6), T[λ] can be pre-calibrated, and r[λ], as the only unknown quantity, can be obtained by inverse Fourier transform processing. Accordingly, in some embodiments, in the step of performing discrete Fourier transform processing and discrete Fourier inverse Fourier transform processing on the energy intensity information corresponding to the incident optical signal to be reconstructed and the transmission response information to determine the spectral reconstruction information of the incident optical signal to be reconstructed (i.e., step S231), the spectral reconstruction information of the incident optical signal to be reconstructed is determined by the following formula:

[0089]

[0090] In formula (a), r[λ] represents the spectral reconstruction information of the incident optical signal to be reconstructed, λ represents the wavelength, IDFT(…) represents the inverse discrete Fourier transform calculation (Inverse Discrete Fouir Transform), DFT(…) represents the discrete Fourier transform calculation, Output[t] represents the energy intensity information corresponding to the incident optical signal to be reconstructed, t represents time, and T[λ] represents the transmission response information of the optical system.

[0091] In the embodiment of the present application, the spectral reconstruction information of the incident light signal to be reconstructed can be quickly calculated based on only two discrete Fourier transform processes and one discrete Fourier inverse transform process, thereby improving the spectral reconstruction efficiency and saving the calculation cost.

[0092] In addition, the applicant of the present application also verifies the incident spectrum reconstruction method provided. A continuous input signal r(λ) is input into the convolution spectrometer to obtain the energy intensity information Output[t] output by the photodetector. The spectrum reconstruction information recovered by the above formula (a) is almost the same as the reference value (i.e., the actual spectrum information). Another different continuous input signal r(λ) is input into the convolution spectrometer. The spectrum reconstruction information recovered by the above formula (a) is also almost the same as the reference value (i.e., the actual spectrum information). Moreover, in these two verification processes, the spectrum reconstruction information was calculated on a personal computer using the Fourier transform algorithm, and the calculation time spent was less than 0.0005 seconds.

[0093] like Figure 5a As shown, it is another schematic diagram of the verification process provided by the embodiment of the present application. The applicant of the present application uses a micro-ring resonant cavity structure as an optical element capable of generating a periodic response wave according to an incident light signal, constructs an optical system including a plurality of cascaded micro-ring resonant cavity structures, and a plurality of phase modulators respectively arranged on each micro-ring resonant cavity structure, and constructs a convolution spectrometer including the optical system and a photodetector. By inputting any input spectrum into the convolution spectrometer, the energy intensity information output by the photodetector can be obtained. Figure 5b and 5c As shown, there are two schematic diagrams of verification effects provided in the embodiments of the present application. It can be seen that when two incident spectra with extremely different properties are respectively input into the convolutional spectrometer, the spectral reconstruction information finally calculated and restored is also almost the same as the reference value (i.e., the actual spectral information), thus achieving extremely high reconstruction accuracy.

[0094] The above verification results can illustrate that the convolution spectrometer and incident spectrum reconstruction method proposed in the embodiments of the present application have the characteristics of large bandwidth, high precision and extremely low computational consumption.

[0095] As a third aspect of the embodiments of the present application, an electronic device is provided, wherein: Figure 6 As shown, the electronic device includes:

[0096] One or more processors 101;

[0097] The memory 102 stores one or more computer programs. When the one or more computer programs are executed by the one or more processors 101, the one or more processors 101 implement any of the following:

[0098] According to the first aspect of the embodiment of the present application, a method for convolution processing of an optical signal is provided;

[0099] According to a second aspect of an embodiment of the present application, a method for reconstructing an incident spectrum is provided.

[0100] The electronic device may further include one or more I / O interfaces 103 connected between the processor 101 and the memory 102 and configured to implement information interaction between the processor 101 and the memory 102 .

[0101] Among them, the processor 101 is a device with data processing capabilities, including but not limited to a central processing unit (CPU), etc.; the memory 102 is a device with data storage capabilities, including but not limited to random access memory (RAM, more specifically SDRAM, DDR, etc.), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory (FLASH); the I / O interface (read-write interface) is connected between the processor and the memory, and can realize information exchange between the processor and the memory, including but not limited to a data bus (Bus), etc.

[0102] In some embodiments, the processor 101 , the memory 102 , and the I / O interface 103 are connected to each other via a bus 104 , and further connected to other components of the computing device.

[0103] As a fourth aspect of an embodiment of the present application, a light signal convolution processing system is provided, characterized in that the light signal convolution processing system includes a convolution spectrometer and an electronic device provided according to the second aspect of the embodiment of the present application, the convolution spectrometer includes a cascaded optical system and a photodetector, the transmission response information of the optical system is shiftable and periodic in the spectral domain, the optical system is used to input a response wave to the photodetector according to an input light signal to be processed, the photodetector is used to output energy intensity information according to the response wave input by the optical system, and the energy intensity information is a circular convolution result between the transmission response information of the optical system and the spectral information of the light signal to be processed.

[0104] In the embodiments of the present application, there is no specific limitation on the optical system, and any optical system that can transmit response information that is shiftable and periodic in the spectral domain and can output a response wave according to an input optical signal can be used.

[0105] In the embodiments of the present application, the photodetector is not specifically limited, and any photodetector that can detect the energy intensity information of the response wave from the optical system can be used. For example, it can be an integrated photodetector, a patch-type germanium photodetector, a III-V photodetector, etc., or a photosensitive element such as a charge coupled device (CCD) or a complementary metal oxide semiconductor (CMOS).

[0106] The pre-built convolution spectrometer is different from existing dispersion type, narrowband filtering type, and computational reconstruction type spectrometers in terms of the underlying operating principle. It is a new type of spectrometer. In terms of performance, this convolution spectrometer has many advantages, such as simple device structure, large detection bandwidth, high recovery accuracy, and low computational burden.

[0107] In some embodiments, the optical system includes a plurality of cascaded optical elements and a plurality of phase modulators respectively disposed on each of the optical elements, the optical elements being used to generate periodic response waves according to incident light signals, and the phase modulators being used to modulate the periodic response waves of the corresponding optical elements.

[0108] In some embodiments, the optical element is any one of the following: an asymmetric Mach-Zehnder interferometer, a micro-ring resonant cavity structure, an asymmetric Michelson interferometer, and a Fabry-Perot resonant cavity.

[0109] As a fifth aspect of the embodiment of the present application, Figure 7 As shown, a computer readable medium is provided, on which a computer program is stored, wherein when the computer program is executed by a processor, any of the following is implemented:

[0110] According to the first aspect of the embodiment of the present application, a method for convolution processing of an optical signal is provided;

[0111] According to a second aspect of an embodiment of the present application, a method for reconstructing an incident spectrum is provided.

[0112] It can be understood by a person of ordinary skill in the art that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program. Accordingly, the computer program can be stored in a non-volatile computer-readable storage medium, and the computer program can implement the method of any of the above-mentioned embodiments when executed. Among them, any reference to memory, storage, database or other media used in the embodiments provided in the embodiments of the present application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0113] The above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Those skilled in the art should understand that the present application includes but is not limited to the contents described in the drawings and the above specific embodiments. Any modification that does not deviate from the functional and structural principles of the present application will be included in the scope of the claims.

Claims

1. A method for convolution processing of optical signals, characterized in that: The method comprises: The optical signal to be processed is input into a pre-built convolution spectrometer to obtain energy intensity information output by a photodetector in the convolution spectrometer; wherein the convolution spectrometer also includes an optical system for inputting a response wave to the photodetector according to the optical signal to be processed, the transmission response information of the optical system is shiftable and periodic in the spectral domain, and the energy intensity information is a circular convolution result between the transmission response information of the optical system and the spectral information of the optical signal to be processed; the optical system includes a plurality of cascaded optical elements and a plurality of phase modulators respectively arranged on each of the optical elements, and the optical element is any of the following: an asymmetric Mach-Zehnder interferometer, a micro-ring resonant cavity structure, an asymmetric Michelson interferometer, and a Fabry-Perot resonant cavity.

2. The method according to claim 1, characterized in that The optical element is used to generate a periodic response wave according to an incident light signal, and the phase modulator is used to modulate the periodic response wave of the corresponding optical element.

3. A method for reconstructing an incident spectrum, characterized in that: The method comprises: According to the optical signal convolution processing method as claimed in claim 1, obtaining energy intensity information corresponding to the incident optical signal to be reconstructed; Acquiring pre-calibrated transmission response information of the optical system; According to the energy intensity information corresponding to the incident optical signal to be reconstructed and the transmission response information, spectrum reconstruction information of the incident optical signal to be reconstructed is determined.

4. The method according to claim 3, characterized in that The determining, according to the energy intensity information corresponding to the incident optical signal to be reconstructed and the transmission response information, the spectrum reconstruction information of the incident optical signal to be reconstructed comprises: Discrete Fourier transform processing and inverse discrete Fourier transform processing are performed on the energy intensity information corresponding to the incident optical signal to be reconstructed and the transmission response information to determine the spectrum reconstruction information of the incident optical signal to be reconstructed.

5. The method according to claim 4, characterized in that In the step of performing discrete Fourier transform processing and inverse discrete Fourier transform processing on the energy intensity information corresponding to the incident optical signal to be reconstructed and the transmission response information to determine the spectral reconstruction information of the incident optical signal to be reconstructed, the spectral reconstruction information of the incident optical signal to be reconstructed is determined by the following formula: In formula (a), r[λ] represents the spectral reconstruction information of the incident optical signal to be reconstructed, λ represents the wavelength, IDFT(…) represents the inverse discrete Fourier transform calculation, DFT(…) represents the discrete Fourier transform calculation, Output[t] represents the energy intensity information corresponding to the incident optical signal to be reconstructed, t represents the time, and T[λ] represents the transmission response information of the optical system.

6. An electronic device, characterized in that: The electronic device comprises: one or more processors; A memory having one or more computer programs stored thereon, wherein when the one or more computer programs are executed by the one or more processors, the one or more processors implement any of the following: The optical signal convolution processing method according to any one of claims 1-2; An incident spectrum reconstruction method according to any one of claims 3-5.

7. An optical signal convolution processing system, characterized in that: The optical signal convolution processing system includes a convolution spectrometer and an electronic device according to claim 6, wherein the convolution spectrometer includes a cascaded optical system and a photodetector, wherein the transmission response information of the optical system is shiftable and periodic in the spectral domain, wherein the optical system is used to input a response wave to the photodetector according to an input optical signal to be processed, and wherein the photodetector is used to output energy intensity information according to the response wave input by the optical system, wherein the energy intensity information is a circular convolution result between the transmission response information of the optical system and the spectral information of the optical signal to be processed.

8. The optical signal convolution processing system according to claim 7, characterized in that: The optical system includes a plurality of cascaded optical elements and a plurality of phase modulators respectively arranged on each of the optical elements. The optical elements are used to generate periodic response waves according to incident light signals, and the phase modulators are used to modulate the periodic response waves of the corresponding optical elements.

9. The optical signal convolution processing system according to claim 7, characterized in that: The optical element is any one of the following: an asymmetric Mach-Zehnder interferometer, a micro-ring resonant cavity structure, an asymmetric Michelson interferometer, and a Fabry-Perot resonant cavity.

10. A computer readable medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, any of the following is achieved: The optical signal convolution processing method according to any one of claims 1-2; An incident spectrum reconstruction method according to any one of claims 3-5.

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