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

Abstract

Disclosed in the present application are an optical signal convolution processing method and system, a spectrum reconstruction method, a device and a medium. The optical signal convolution processing method comprises: inputting an optical signal to be processed into a pre-constructed convolutional spectrometer, so as to obtain energy intensity information output by a photodetector in the convolutional spectrometer, wherein the convolutional spectrometer further comprises an optical system used for inputting a response wave to the photodetector on the basis of said optical signal, 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 spectral information of said optical signal. Efficient and convenient optical signal convolution processing is completed on the basis of reuse of abundant information of optical signals themselves in the spectral domain. The present application is expected to play an important role in many related fields such as spectral detection, spectral imaging and even optical computing.

Description

Optical signal convolution processing methods, spectral reconstruction methods, equipment, systems and media Technical Field

[0001] This application relates to the field of optical signal processing technology, specifically to an optical signal convolution processing method, a spectral reconstruction method, an apparatus, a system, and a medium. Background Technology

[0002] Convolution, as a fundamental mathematical tool, is widely used in numerous engineering fields, such as communication signal processing, image processing, and artificial intelligence algorithms. Currently, most common convolutions are implemented on electronic platforms, such as through multi-layered loop computation on a central processing unit (CPU) or parallel computation on a graphics processing unit (GPU). However, with the explosive growth of data and the gradual demise of Moore's Law, electronic computing faces limitations in many aspects, including energy consumption, bandwidth, and latency.

[0003] However, optical signal processing possesses characteristics of high bandwidth, low latency, and low power consumption, and related fields have been investing significant effort in implementing convolution operations on optical platforms. For example, wavelength division multiplexing (WDM) technology is used to multiplex multiple wavelengths, thereby enabling parallel computation. However, these techniques can only utilize a limited number of wavelengths and cannot reuse the rich information inherent in the optical signal itself in the spectral domain.

[0004] Summary of the Invention

[0005] This application aims to address one of the technical problems in related technologies to a certain extent. To this end, this application provides an optical signal convolution processing method, a spectral reconstruction method, an apparatus, a system, and a medium.

[0006] As a first aspect of this application, a method for optical signal convolution processing is provided, wherein the method includes:

[0007] The optical signal to be processed is input into a pre-constructed convolutional spectrometer to obtain the energy intensity information output by the photodetector in the convolutional spectrometer; wherein, the convolutional spectrometer further 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 in the spectral domain and has periodicity, 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.

[0008] Optionally, 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 are used to generate periodic response waves according to the incident light signal, and the phase modulators are used to modulate the periodic response waves of the corresponding optical elements.

[0009] As a second aspect of this application, an incident spectrum reconstruction method is provided, wherein the method includes:

[0010] According to the optical signal convolution processing method as described in claim 1, the energy intensity information corresponding to the incident optical signal to be reconstructed is obtained;

[0011] Obtain the transmission response information of the pre-calibrated optical system;

[0012] Based on the energy intensity information corresponding to the incident light signal to be reconstructed and the transmission response information, the spectral reconstruction information of the incident light signal to be reconstructed is determined.

[0013] Optionally, determining the spectral reconstruction information of the incident light signal to be reconstructed based on the energy intensity information corresponding to the incident light signal to be reconstructed and the transmission response information includes:

[0014] The energy intensity information and transmission response information corresponding to the incident light signal to be reconstructed are subjected to discrete Fourier transform and inverse discrete Fourier transform processing to determine the spectral reconstruction information of the incident light signal to be reconstructed.

[0015] Optionally, in the step of performing Discrete Fourier Transform and Inverse Discrete Fourier Transform processing on the energy intensity information and the transmission response information corresponding to the incident light signal to be reconstructed, and determining the spectral reconstruction information of the incident light signal to be reconstructed, the spectral reconstruction information of the incident light signal to be reconstructed is determined by the following formula:

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

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

[0018] One or more processors;

[0019] A memory having stored one or more computer programs that, when executed by one or more processors, cause the one or more processors to perform any of the following:

[0020] The optical signal convolution processing method provided in the first aspect of this application;

[0021] The incident spectrum reconstruction method according to the second aspect of this application.

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

[0023] Optionally, 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 are used to generate periodic response waves according to the incident light signal, and the phase modulators are used to modulate the periodic response waves of the corresponding optical elements.

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

[0025] As a fifth aspect of this application, a computer-readable medium is provided having a computer program stored thereon, wherein the computer program, when executed by a processor, implements any of the following:

[0026] The optical signal convolution processing method provided in the first aspect of this application;

[0027] The incident spectrum reconstruction method according to the second aspect of this application.

[0028] In the optical signal convolution processing method provided in this application embodiment, a convolutional spectrometer is pre-constructed, which includes an optical system with periodic transmission response information that can be translated in the spectral domain and a photodetector. The optical signal to be processed is input into the convolutional spectrometer. The optical system periodically translates the transmission response information in a time sequence to perform convolution operations 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, which detects the response wave to obtain the convolution result, i.e., the energy intensity information of the response wave. This method achieves efficient and convenient optical signal convolution processing by reusing the rich information of the optical signal itself in the spectral domain.

[0029] Most importantly, the constructed convolutional spectrometer and the proposed optical signal convolution processing method, thanks to their inherent 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. Attached Figure Description

[0030] The following description, in conjunction with the accompanying drawings, further illustrates this application:

[0031] Figure 1 is a flowchart of one embodiment of the optical signal convolution processing method provided in this application;

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

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

[0034] Figure 3 is a flowchart of one embodiment of the incident spectrum reconstruction method provided in this application;

[0035] Figure 4 is a flowchart of another embodiment of the incident spectrum reconstruction method provided in this application;

[0036] Figure 5a is a schematic diagram of a verification process provided in an embodiment of this application;

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

[0038] Figure 5c is another schematic diagram of the verification effect provided by the embodiment of this application;

[0039] Figure 6 is a flowchart of one embodiment of the electronic device provided in this application;

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

[0041] Figure reference numerals: 101: Processor; 102: Memory; 103: I / O interface; 104: Bus Detailed Implementation

[0042] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described are intended to explain this application and should not be construed as limiting it.

[0043] The terms "an embodiment," "example," or "example" used in this specification refer to a particular feature, structure, or characteristic described in connection with the embodiment itself that may be included in at least one embodiment disclosed in this application. The phrase "in an embodiment" appearing in various places throughout the specification does not necessarily refer to the same embodiment.

[0044] Currently, the optical signal convolution processing techniques 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.

[0045] In view of this, the applicant of this application proposes that by pre-constructing a convolutional spectrometer, which includes an optical system with periodic transmission response information that can be translated in the spectral domain and a photodetector, the convolution operation of any incident light signal can be performed in the spectral domain by utilizing the temporal translation of the periodic transmission response of the optical system, and the convolution result can be obtained by using a photodetector, thus enabling the reuse of the rich information of the light signal itself in the spectral domain.

[0046] As a first aspect of the embodiments of this application, an optical signal convolution processing method is provided, wherein, as shown in FIG1, the method may include the following steps:

[0047] In step S110, the optical signal to be processed is input to a pre-constructed convolutional spectrometer to obtain the energy intensity information output by the photodetector in the convolutional spectrometer; wherein, the convolutional spectrometer further 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 in the spectral domain and has periodicity, 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.

[0048] In this embodiment, no specific limitation is made to the optical system. Any optical system that can transmit response information that can be shifted in the spectral domain and has periodicity, and can output a response wave according to the input optical signal, is acceptable.

[0049] In this embodiment, the photodetector is not specifically limited; any photodetector capable of detecting the energy intensity information of the response wave from the optical system is acceptable. For example, it can be an integrated photodetector, a patch-type germanium photodetector, a III-V group photodetector, etc., or a photosensitive element such as a charge-coupled device (CCD) or a complementary metal-oxide-semiconductor (CMOS).

[0050] This pre-built convolutional spectrometer differs from existing dispersive, narrowband filtered, and computationally reconstructed spectrometers in its underlying operating principle, representing a completely new type of spectrometer. Furthermore, in terms of performance, this convolutional spectrometer boasts numerous advantages, including simple device structure, large detection bandwidth, high recovery accuracy, and low computational burden.

[0051] Figure 2a shows an operational schematic diagram of an optical signal convolution processing method provided in an embodiment of this application. It can be seen that the pre-constructed convolutional spectrometer includes a cascaded optical system and a photodetector. The optical system has a periodic response and the response can be translated. By inputting any input spectrum into the optical system and then outputting the generated response wave to the photodetector, convolution processing of any input spectrum can be achieved and the convolution result can be obtained.

[0052] In the optical signal convolution processing method provided in this application embodiment, a convolutional spectrometer is pre-constructed, which includes an optical system with periodic transmission response information that can be translated in the spectral domain and a photodetector. The optical signal to be processed is input into the convolutional spectrometer. The optical system periodically translates the transmission response information in a time sequence to perform convolution operations 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, which detects the response wave to obtain the convolution result, i.e., the energy intensity information of the response wave. This method achieves efficient and convenient optical signal convolution processing by reusing the rich information of the optical signal itself in the spectral domain.

[0053] Most importantly, the constructed convolutional spectrometer and the proposed optical signal convolution processing method, thanks to their inherent physical meaning 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.

[0054] For example, it can play an important role in many aspects such as reconstructing arbitrary incident spectral information and optical coherence tomography (OCT). Optical coherence tomography is a non-invasive imaging technique that uses the principle of light interference to measure the reflected or scattered light signals, thereby generating a tomographic image of the sample. Since the OCT system is based on light interference, the light signal being measured naturally contains rich spectral information: this spectral information reflects the changes in reflectivity of the sample at different layers (i.e., different depths). The constructed convolutional spectrometer, thanks to its ability to resolve high-density frequency domain information, is very suitable for detecting signals encountered by OCT systems. The ultra-high frequency domain resolution of the proposed convolutional spectrometer can bring excellent detection depth to the OCT system.

[0055] The constructed convolutional spectrometer and the proposed optical signal convolution processing method can also be applied to some optical computing scenarios. For example, by designing the incident spectrum and the transmission response of the convolutional spectrometer, specific information can be encoded on both spectra, and then convolution operations can be performed physically in the optical domain, thus replacing the traditional computer method of performing convolution operations using 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.

[0056] From a mathematical perspective, the convolution operation of two time-series signals x(t) and y(t) can be rigorously expressed as:

[0057] In formula (1), * represents convolution operation and τ represents the integration variable.

[0058] In practical engineering, continuous time-series signals need to be discretized and expressed in the form of digital signals. Therefore, x(t) and y(t) are denoted as x[n] and y[n], respectively. Then, formula (1) can be rewritten as:

[0059] Since the length range of discrete sequences x[n] and y[n] is usually finite, the convolution operation is not performed within an infinite interval. In practical engineering, the lengths of the two sequences are usually first 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 within a finite length N:

[0060] In formula (3), This indicates a circular convolution operation, where n takes values ​​from 0, 1, 2, ..., N-1; ((...)) N R represents the cyclic displacement of a discrete sequence with a period of N.N [n] represents a matrix sequence of length N.

[0061] Formulas (1), (2), and (3) above describe the mathematical background of digital signals performing convolution operations on an electrical platform through floating-point arithmetic.

[0062] The applicant of this application proposes that performing convolution operations on optical signals on an optical platform is entirely feasible. Assuming the transmission response information of an optical system can be represented as T(λ), through the design of the optical system, T(λ) can be made periodic in the spectral domain, assuming that from λ0 to λ... n It is a period. Furthermore, through techniques such as mechanical optical path modulation and material refractive index modulation, this T(λ) can be shifted in the spectral domain, denoted as T(λ+Δλ(t)). Therefore, for such a periodic optical system where T(λ) is shiftable in the spectral domain, assuming an incident spectral signal r(λ), the energy detectable by a photodetector at the output of this optical system will be equal to the integral of r(λ) and T(λ) with respect to wavelength (assuming this incident signal is between λ0 and λt). n (within the range):

[0063] In formula (4), T * This represents the flip of T in the wavelength domain. The flip is purely for mathematical convenience and is unrelated to the optical system itself. Furthermore, the wavelength shift can be positive or negative, so the sign of Δλ(t) can be arbitrary. In practical engineering, it is assumed that from λ0 to λ... n By sampling N wavelength points within the periodic range, formula (4) can be further expressed in the form of a discrete sequence, yielding the circular convolution of r(λ) and T(λ):

[0064] In formula (5), Δλ[t] represents the sequence of wavelength shift over time, and its shift step size is equal to the period length (λ). n The quotient of -λ0) and the number of sampling points N, where t takes values ​​of 0, 1, 2, ..., N-1.

[0065] Comparing formulas (3) and (5), it can be seen that formula (5) strictly conforms to the standard mathematical definition of discrete circular convolution. That is, the energy detected by the photodetector at the output of the optical system is the convolution of the incident spectral information and the transmission response information of the optical system in the spectral domain (i.e., the wavelength domain). As shown in Figure 2b, it is a schematic diagram of the circular convolution operation in the spectral domain provided by the embodiment of this application. It can be seen that in the wavelength domain λ0 to λ N-1 The circular convolution of r(λ) and T(λ) yields the energy intensity information.

[0066] According to the above formulas (4) and (5), the optical system provided in this application embodiment completes the convolution operation of arbitrary incident spectral information in the spectral domain by having a periodic transmission response information time shift, and the result of the convolution is output in the time domain in the form of the energy intensity detected by the photodetector.

[0067] As mentioned above, certain techniques such as mechanical optical path modulation and material refractive index modulation can be used to shift the periodic transmission response information of an optical system in the spectral domain in a temporal manner. In addition, as an optional specific implementation, 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.

[0068] Accordingly, 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 the incident light signal, and the phase modulators being used to modulate the periodic response waves of the respective optical elements.

[0069] The applicant of this application further proposes 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 the energy intensity detected by the photodetector, arbitrary incident spectral information can be reconstructed based on the energy intensity information detected by the photodetector and the transmission response information of the optical system.

[0070] As a second aspect of the embodiments of this application, an incident spectrum reconstruction method is provided, wherein, as shown in FIG3, the method may include the following steps:

[0071] In step S210, the energy intensity information corresponding to the incident light signal to be reconstructed is obtained according to the optical signal convolution processing method.

[0072] In step S220, the transmission response information of the pre-calibrated optical system is obtained;

[0073] In step S230, the spectral reconstruction information of the incident light signal to be reconstructed is determined based on the energy intensity information corresponding to the incident light signal to be reconstructed and the transmission response information.

[0074] The optical signal convolution processing method involved in step S210 is provided by the first aspect of the embodiments of this application. That is, step S210 may include the following steps: inputting the incident light signal to be reconstructed into a pre-constructed convolutional spectrometer to obtain the energy intensity information output by the photodetector in the convolutional spectrometer. The convolutional spectrometer further includes an optical system for inputting a response wave to the photodetector based on the incident light signal to be reconstructed. The transmission response information of the optical system is spectrally shiftable and periodic, and the energy intensity information is the result of a cyclic convolution between the transmission response information of the optical system and the spectral information of the incident light signal to be reconstructed.

[0075] In the incident spectrum reconstruction method provided in this application embodiment, a convolutional spectrometer is pre-constructed, comprising an optical system with periodic transmission response information that can be translated in the spectral domain and a photodetector. The incident light signal to be reconstructed is input into the convolutional spectrometer, and the optical system inputs the response wave to the photodetector to obtain the energy intensity information output by the photodetector. This energy intensity information is essentially the result of the optical system performing convolution processing on the spectral information of the incident light signal to be reconstructed in the spectral domain in a physical form. Based on this 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.

[0076] Since the convolution processing of the optical signal in this embodiment is essentially performed physically in the spectral domain by the optical system, the computational burden is minimal. Only two Fourier transforms and one inverse Fourier transform of the two discrete sequences—energy intensity information and transmission response information—are required to obtain the spectral reconstruction information. Correspondingly, in some embodiments, determining the spectral reconstruction information of the incident optical signal to be reconstructed based on the energy intensity information and the transmission response information (i.e., step S230), as shown in Figure 4, may include the following steps:

[0077] In step S231, the energy intensity information and transmission response information corresponding to the incident light signal to be reconstructed are subjected to discrete Fourier transform processing and inverse discrete Fourier transform processing to determine the spectral reconstruction information of the incident light signal to be reconstructed.

[0078] According to the convolution theorem, the Fourier transform of the convolution of two functions is equal to the product of their individual Fourier transforms. Applying a discrete Fourier transform to both sides of the above formula (5) yields:

[0079] In formula (6), The circular convolution operation is represented by DFT(...), which represents the Discrete Fourier 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.

[0080] 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 through inverse Fourier transform processing. Accordingly, in some embodiments, in the step of performing discrete Fourier transform processing and inverse discrete Fourier transform processing on the energy intensity information and the transmission response information corresponding to the incident light signal to be reconstructed, to determine the spectral reconstruction information of the incident light signal to be reconstructed (i.e., step S231), the spectral reconstruction information of the incident light signal to be reconstructed is determined by the following formula:

[0081] In formula (a), r[λ] represents the spectral reconstruction information of the incident light 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 light signal to be reconstructed, t represents time, and T[λ] represents the transmission response information of the optical system.

[0082] In this embodiment, 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 inverse discrete Fourier transform process, which improves the spectral reconstruction efficiency and saves computational costs.

[0083] Furthermore, the applicant of this application has verified the provided incident spectrum reconstruction method. A continuous input signal r(λ) is input into a convolutional spectrometer to obtain the energy intensity information Output[t] output by the photodetector. The reconstructed spectral information calculated using the above formula (a) is almost identical to the reference value (i.e., the actual spectral information). Another different continuous input signal r(λ) is input into the convolutional spectrometer, and the reconstructed spectral information calculated using the above formula (a) is also almost identical to the reference value (i.e., the actual spectral information). Moreover, in both verification processes, the spectral reconstruction information was calculated using a Fourier transform algorithm on a personal computer, and the computation time was less than 0.0005 seconds.

[0084] Figure 5a shows another verification process provided by an embodiment of this application. The applicant of this application uses a micro-ring resonator structure as an optical element capable of generating periodic response waves based on the incident light signal. An optical system is constructed, including multiple cascaded micro-ring resonator structures and multiple phase modulators respectively disposed on each micro-ring resonator structure. A convolutional spectrometer including this optical system and a photodetector is constructed. By inputting any input spectrum into the convolutional spectrometer, the energy intensity information output by the photodetector can be obtained. Figures 5b and 5c show two verification effect diagrams provided by an embodiment of this application. It can be seen that when two incident spectra with drastically different values ​​are input into the convolutional spectrometer, the finally calculated and recovered spectral reconstruction information is almost identical to the reference value (i.e., the actual spectral information), achieving extremely high reconstruction accuracy.

[0085] The above verification results all demonstrate that the convolutional spectrometer and incident spectrum reconstruction method proposed in the embodiments of this application have the characteristics of large bandwidth, high precision, and minimal computational consumption.

[0086] As a third aspect of the embodiments of this application, an electronic device is provided, wherein, as shown in FIG6, the electronic device includes:

[0087] One or more processors 101;

[0088] Memory 102, having stored one or more computer programs, which, when executed by one or more processors 101, cause the one or more processors 101 to perform any of the following:

[0089] The optical signal convolution processing method provided according to the first aspect of the embodiments of this application;

[0090] An incident spectrum reconstruction method is provided according to the second aspect of the embodiments of this application.

[0091] The electronic device may also include one or more I / O interfaces 103 connected between the processor 101 and the memory 102, configured to enable information interaction between the processor 101 and the memory 102.

[0092] The processor 101 is a device with data processing capabilities, including but not limited to a central processing unit (CPU); 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), and flash memory (FLASH); the I / O interface (read-write interface) is connected between the processor and the memory, enabling information exchange between the processor and the memory, including but not limited to a data bus (Bus).

[0093] In some embodiments, the processor 101, memory 102, and I / O interface 103 are interconnected via bus 104, and thus connected to other components of the computing device.

[0094] As a fourth aspect of the present application, an optical signal convolution processing system is provided, characterized in that the optical signal convolution processing system includes a convolutional spectrometer and an electronic device according to a second aspect of the present application. The convolutional spectrometer includes a cascaded optical system and a photodetector. The transmission response information of the optical system is shiftable in the spectral domain and has periodicity. The optical system is used to input a response wave to the photodetector according to the input optical signal to be processed. The photodetector is used to output energy intensity information according to the response wave input by the optical system. The energy intensity information is the result of a circular convolution between the transmission response information of the optical system and the spectral information of the optical signal to be processed.

[0095] In this embodiment, no specific limitation is made to the optical system. Any optical system that can transmit response information that can be shifted in the spectral domain and has periodicity, and can output a response wave according to the input optical signal, is acceptable.

[0096] In this embodiment, the photodetector is not specifically limited; any photodetector capable of detecting the energy intensity information of the response wave from the optical system is acceptable. For example, it can be an integrated photodetector, a patch-type germanium photodetector, a III-V group photodetector, etc., or a photosensitive element such as a charge-coupled device (CCD) or a complementary metal-oxide-semiconductor (CMOS).

[0097] This pre-built convolutional spectrometer differs from existing dispersive, narrowband filtered, and computationally reconstructed spectrometers in its underlying operating principle, representing a completely new type of spectrometer. Furthermore, in terms of performance, this convolutional spectrometer boasts numerous advantages, including simple device structure, large detection bandwidth, high recovery accuracy, and low computational burden.

[0098] 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 configured to generate periodic response waves according to incident light signals, and the phase modulators being configured to modulate the periodic response waves of the respective optical elements.

[0099] In some embodiments, the optical element is any of the following: an asymmetric Mach-Zehnder interferometer, a micro-ring resonator structure, an asymmetric Michelson interferometer, or a Fabry-Perot resonator.

[0100] As a fifth aspect of the present application, as shown in FIG7, a computer-readable medium is provided having a computer program stored thereon, wherein the computer program, when executed by a processor, implements any of the following:

[0101] The optical signal convolution processing method provided according to the first aspect of the embodiments of this application;

[0102] An incident spectrum reconstruction method is provided according to the second aspect of the embodiments of this application.

[0103] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. Accordingly, the computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can implement the methods of any of the above embodiments. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can 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 a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0104] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Those skilled in the art should understand that this application includes, but is not limited to, the contents described in the accompanying drawings and the specific embodiments above. Any modifications that do not depart from the functional and structural principles of this application will be included within the scope of the claims.

Claims

1. A method for optical signal convolution processing, characterized in that, The method includes: The optical signal to be processed is input into a pre-constructed convolutional spectrometer to obtain the energy intensity information output by the photodetector in the convolutional spectrometer; wherein, the convolutional spectrometer further 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 in the spectral domain and has periodicity, 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.

2. The method according to claim 1, characterized in that, 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 are used to generate periodic response waves according to the incident light signal, and the phase modulators are used to modulate the periodic response waves of the corresponding optical elements.

3. A method for reconstructing an incident spectrum, characterized in that, The method includes: According to the optical signal convolution processing method as described in claim 1, the energy intensity information corresponding to the incident optical signal to be reconstructed is obtained; Obtain the transmission response information of the pre-calibrated optical system; Based on the energy intensity information corresponding to the incident light signal to be reconstructed and the transmission response information, the spectral reconstruction information of the incident light signal to be reconstructed is determined.

4. The method according to claim 3, characterized in that, The step of determining the spectral reconstruction information of the incident light signal to be reconstructed based on the energy intensity information corresponding to the incident light signal to be reconstructed and the transmission response information includes: The energy intensity information corresponding to the incident light signal to be reconstructed and the transmission response information are then processed. The spectral reconstruction information of the incident light signal to be reconstructed is determined by performing discrete Fourier transform and inverse discrete Fourier transform processing.

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

6. An electronic device, characterized in that, The electronic device includes: One or more processors; A memory having stored one or more computer programs that, when executed by one or more processors, cause the one or more processors to perform any of the following: The optical signal convolution processing method according to any one of claims 1-2; The 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 convolutional spectrometer and the electronic device according to claim 6. The convolutional 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 the input optical signal to be processed. The photodetector is used to output energy intensity information according to the response wave input by the optical system. 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.

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 disposed on each of the optical elements. The optical elements are used to generate periodic response waves according to the incident light signal, 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 of the following: an asymmetric Mach-Zehnder interferometer, a micro-ring resonator structure, an asymmetric Michelson interferometer, or a Fabry-Perot resonator.

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

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