150 results about "Spectral component" patented technology

The invention relates to the technical field of monitoring light supplement adjustment, and discloses a monitoring light supplement automatic adjustment system based on ambient light detection. An ambient light dynamic sensing module of the system captures visible light and infrared spectrum components of a monitoring area in real time through a multispectral sensor array, constructs a light intensity distribution model in combination with illumination intensity historical data, and outputs a theoretical illumination distribution diagram; the spectral feature analysis module compares the theoretical distribution map with the actually measured light field data in a multi-dimensional manner, performs spectral deviation detection and generates a spectral difference feature tensor; the light supplement demand mapping module inputs the tensor into a space illumination analysis network, and generates a light supplement coverage demand thermodynamic diagram and calibrates the boundary of a low-illumination area in combination with a field angle of monitoring equipment and position coordinates of a light supplement lamp; and the self-adaptive light supplement strategy execution module starts a multi-band mixed light supplement mode for a high-demand area according to the thermodynamic diagram, and performs phase cooperative control on adjacent light supplement lamp groups. The system realizes dynamic and accurate adjustment of light supplement, and can effectively adapt to complex ambient light changes.

The invention discloses a multi-mode feedback control method and system for a femtosecond laser stone crusher, and relates to the technical field of medical instruments. The method comprises the following steps: constructing spectral component analysis, collecting spectral signals, and executing target chemical component identification; ultrasonic position detection: acquiring an ultrasonic echo signal through a transducer, and calculating a spatial distance; performing vision-assisted positioning, acquiring image data through an endoscope, and generating space image information; according to the spectrum identification result, the distance parameter and the space image information, multi-source data synchronization processing is completed; generating a laser parameter control instruction according to the fusion result; and executing a real-time feedback regulation and control process, obtaining feedback information, and completing control parameter updating and closed-loop response. Through fusion of multi-modal information such as spectrum identification, ultrasonic distance measurement and visual navigation, real-time identification of stone types, intelligent matching of laser parameters and accurate control of spatial positioning are realized, and the accuracy, safety and intuition of lithotripsy operation are remarkably improved.

The invention discloses an automatic adjusting method and system for an energy-saving lamp, and relates to the technical field of illumination control, and the method comprises the following steps: S001, collecting an original illumination signal outputted by an illumination sensor in real time, carrying out the frequency domain analysis and time sequence change rate analysis of the collected original illumination signal, and obtaining a time sequence change rate; extracting a frequency domain distribution characteristic and a time change characteristic in the original illumination signal to identify an abnormal spectrum component contained in the original illumination signal; and S002, based on the identified abnormal spectral components, analyzing an energy intensity change trend of the original illumination signal in a target frequency band, extracting an energy mutation feature and a time sequence rapid fluctuation feature appearing in a corresponding frequency band, and constructing a multi-dimensional dynamic feature vector of the abnormal signal. According to the method, high-precision identification and dynamic suppression of abnormal signals of the illumination sensor are realized, and a self-repairing closed-loop feedback mechanism is constructed through feature vector comparison and error locking evaluation and intelligent adjustment of a threshold value and filter parameters, so that the anti-interference performance and the energy-saving control effect of the system are improved.

The invention relates to the field of agricultural lighting equipment, and discloses a plant light quality regulation and control integrated LED light source with a uniform spectral space and a method of the plant light quality regulation and control integrated LED light source. The multispectral LED chip group is arranged on the lamp bead substrate in a die bonding manner; the plurality of groups of independent bonding pads are arranged on the lamp bead substrate and are electrically isolated from one another; and the transparent optical lens adhesive layer covers the chip group. And different spectrum chip groups in the multi-spectrum LED chip group are electrically connected with the corresponding independent bonding pads respectively. Driving current is provided for the multiple groups of independent bonding pads through an external driving circuit, and the luminous intensity of different spectral components is independently adjusted by independently adjusting the magnitude of the current input to different bonding pad groups, so that the output composite spectrum is changed. According to the invention, the multispectral chip is integrated in a single packaging body, the problem of non-uniform spectral space is solved from the physical source, the accurate regulation and control of the spectral ratio are realized through multichannel independent control, and the design and manufacturing cost of the lamp is reduced at the same time.

Measurement system and method are presented for determining spatial distribution of chemical elements in a sample. The system comprises a measurement unit and a control system. The measurement unit is adapted to produce primary radiation having spectral characteristic adapted to excite a number M of chemical elements in the sample to induce secondary radiation responses, and generate spectral measured data indicative of intensity of detected responses. The primary radiation interacting with the sample includes a sequence of two or more encoded radiation patterns of the primary radiation, each having its predetermined spatial intensity pattern. The measured spectral data includes a sequence of data pieces, each being modulated by the respective one of the two or more predetermined spatial intensity patterns of the encoded primary radiation and characterized by sparsity in spectral domain with respect to each spectral component of the secondary radiation response.

The application provides an optical system and a monitoring method for monitoring stimulated Brillouin scattering effect. The optical system for monitoring stimulated Brillouin scattering effect firstly delivers a narrow linewidth seed source into a laser amplifier through a first optical device to amplify the narrow linewidth laser, and guides stimulated Brillouin scattering light generated by the laser amplifier to a back light monitoring module to detect the back light power and spectral components of the stimulated Brillouin scattering light in real time through the back light monitoring module, so as to realize the purpose of simultaneously and accurately measuring the stimulated Brillouin scattering light power and observing the laser components, and is more conducive to judging whether the stimulated Brillouin scattering effect occurs. Further, the optical system can adjust the light splitting ratio of the first optical device and the back light monitoring module to protect the narrow linewidth seed source and the spectrometer in the back light monitoring module from the damage of the back light to the greatest extent, and achieve the purpose of accurately judging the stimulated Brillouin scattering effect and protecting the system safety.

We combine an array of waveguides having different lengths with a reconfigurable integrated optical network that allows full customization of the filter function after fabrication to provide optical filters. This customization can also optimize filter performance, compensating for fabrication errors or imprecision. This network can also self-configure automatically to the problem. Hence this approach provides a new class of compact, convenient, high-performance and highly customizable optical filters that are also suitable for mass manufacture on integrated photonics platforms.

The present invention presents improved systems and methods for performing multi-photon lithography. A line-scanning temporally focused two-photon lithography (LS-TFTPL) technique is capable of patterning three-dimensional structures with high throughput. An example LS-TFTPL system may include a pulsed laser, first optical components for expanding light pulses into an elongated or line cross section, a digital micromirror device for modulating the light pulses with a linear pattern and dispersing spectral components of the modulated light pulses, and second optical components for focusing the dispersed spectral components of the modulated light pulse at a line in or on a target material. The focused spectral components may alter the target material within selected voxels along the line, where the selected voxels spatially correspond to the linear pattern.

The invention provides an F-P spectral imaging system and method, and belongs to the technical field of spectral component measurement, and the system comprises a front lens which is used for collecting light energy and converting the light energy into emergent light meeting the limitation of the clear aperture of an F-P interferometer; the annular band optical filter comprises a central area and a plurality of concentric annular areas surrounding the central area, the bandwidth of each area is the same as the free spectral range of the F-P interferometer, and the annular band optical filter is used for eliminating level aliasing in emergent light of the front lens; the F-P interferometer is used for carrying out wavelength selection on emergent light of the annular band optical filter and outputting an interference field; the imaging mirror is used for projecting the interference field to the detector; and the detector is used for converting the projected optical signal into a digital electric signal. The F-P spectral imaging system which can maintain high spectral resolution and also can realize wide spectrum coverage is constructed by introducing the annular band optical filter which is accurately matched with the FSR of the F-P interferometer.

The invention discloses a synthetic aperture radar radio frequency interference suppression method based on two-stage processing, and the method comprises the steps: obtaining SAR single-view complex image data containing an interference signal, carrying out the fast Fourier transform of the SAR single-view complex image data along a distance dimension, and obtaining a distance frequency domain-azimuth time domain two-dimensional distance spectrum; based on a wavelet decomposition algorithm and a quartile distance method, preliminarily extracting a frequency spectrum component of an interference signal in the two-dimensional distance frequency spectrum to obtain a first interference signal distance frequency spectrum; based on a fast generalized singular value threshold low-rank sparse decomposition algorithm, separating the frequency spectrum component of the echo signal from the first interference signal distance frequency spectrum by using the low-rank characteristic of the interference signal to obtain a second interference signal distance frequency spectrum; and based on the two-dimensional distance spectrum and the second interference signal distance spectrum, obtaining an SAR single-view complex image after interference suppression. According to the method, the double bottlenecks that the notch threshold is difficult to select and the low-rank condition is difficult to meet in the traditional SAR radio frequency interference suppression are solved.

A movement prediction apparatus including first and second light output devices, a light reception device, and a processor. The first light output device outputs output-light having a spectral component of a first optical frequency comb of which a frequency comb interval is a first interval. The second light output device outputs reference light having a spectral component of a second optical frequency comb of which a frequency comb interval is a second interval. The light reception device receives combination light that is a combination of the output-light, reflection light that is the output-light reflected by a flying object rotor wing, and the reference light, and measures a distance to the rotor wing based on the combination light. The processor calculates a rotation amount that represents a rotational speed of the rotor wing based on a change amount of the measured distance, and predicts a movement of the flying object.

Self-calibrating adaptive optical systems, devices, and methods for biological analyte measurements are provided in accordance with various embodiments. Some embodiments include a method that includes emitting light from a laser. The light from the laser is filtered utilizing one or more short pass filters. The filtered light from the laser is focused onto an object. Light scatters from the object. The scattered light from the object is filtered utilizing a long pass filter. The scattered light from the object is collected into a spectrometer aperture. The scattered light from the object passes through a spectrometer to spatially separate the spectral components of the scattered light into a scattered spectra; the scattered spectra is filtered and detected on one or more optical sensors to form a detected spectra. The detected spectra is digitized to deliver a Raman spectra to a processor for analysis.

This application relates to the field of water meter measurement technology, and in particular to a vision-based water meter pin-shaped indicator measurement and detection method. The method includes: an image acquisition step, aligning the optical axis of an industrial camera with the rotation center of the pin-shaped indicator to acquire a target image; a ring unfolding image generation step, automatically identifying the rotation center coordinates and effective radius, mapping them to a polar coordinate system to form a ring unfolding image; a spectrum component extraction step, radially weighted integrating the ring unfolding image to generate a one-dimensional periodic signal, and extracting complex spectrum components of preset harmonic frequencies via fast Fourier transform; a phase difference calculation step, calculating the instantaneous angular displacement through the phase difference between adjacent frames; and a flux calculation step, accumulating the instantaneous angular displacement to obtain the cumulative angle, and combining it with the water meter flow coefficient to calculate the actual volumetric flow rate. This invention achieves high-precision tracking of the pin-shaped indicator rotation angle through image and frequency domain phase analysis, improving measurement accuracy and anti-interference capability, adapting to a wide flow range and pin-shaped indicators in different states, and meeting the mandatory verification requirements of water meters.

The present application relates to the technical field of gas detection, and discloses a high-precision detection system and method for harmful gas in equipment pipeline based on multispectral fusion, which first collects and pre-processes multispectral data, then uses an online learning mechanism to identify and reconstruct main background and interference spectrum by a dynamic background and interference modal online learning and reconstruction module, and then subtracts the interference spectrum from the pre-processed data to obtain residual spectrum by a target gas signal extraction and enhancement module, and extracts and enhances target gas characteristic spectral components by orthogonal projection based on standard spectral information. Finally, a variety of gas concentration inversion modules calculate the concentration of target harmful gas based on the characteristic and standard spectral information. Dynamic interference is removed by online learning, the reliability of signal extraction is improved by combining orthogonal projection and dynamic calibration spectral library, the resolution precision of mixed gas is improved by a step-by-step strategy, and the long-term high precision and environmental adaptability of the system are ensured by an adaptive optimization mechanism.

The application provides an article visual recognition method and system for a multi-pass automatic sorting platform of a vertical warehouse, and relates to the technical field of visual recognition. Before an article moves rapidly into a main recognition area, a multi-spectrum light source with different spectral components is controlled to irradiate the article in a pulse form, and a multi-spectrum response image is captured synchronously to obtain spectral response characteristics of the article surface to different spectral components. Based on the spectral response characteristics, the optical characteristics of the article surface are accurately determined. According to the determined optical characteristics, the illumination parameters of the main recognition area and the exposure parameters of a main image acquisition unit are intelligently adjusted. Image acquisition, feature extraction and identity determination are performed according to the adjusted illumination and exposure parameters, which can significantly improve the recognition accuracy and stability of the article, thereby improving the efficiency and reliability of the entire automatic sorting platform.

The invention relates to the technical field of power system parameter measurement, and discloses a power grid broadband impedance measurement method, which comprises the following steps of: dividing a target broadband into three complementary or staggered frequency groups, and alternately injecting multi-frequency harmonic current disturbance signals into a three-phase power grid in a cyclic rotation mode, acquiring a node response voltage signal of the three-phase common coupling point and a network side branch disturbance current signal; and frequency spectrum components of voltage and current signals are extracted from the node response voltage signal of the three-phase common coupling point and the network side branch disturbance current signal by adopting a fast Fourier transform method, and node impedance information of the power grid is calculated based on the frequency spectrum components of the voltage and current signals. The power grid impedance is effectively measured, the influence of the frequency response overlapping effect in the impedance measurement process is eliminated, and the measurement speed and precision are improved.

A wavelength-selective optical switch includes in sequence a waveguide array, a polarization element, a collimating lens, a dispersing element, a Fourier lens, and a redirector array. The polarization element splits a light beam from the waveguide array into diverging polarization sub-beams in a first plane for collimating by the collimating lens. The dispersing element separates the sub-beams into spectral components in the first plane for the Fourier lens to focus them into the redirector array. The redirector array redirects the spectral components in a second plane perpendicular to the first plane to propagate back to the waveguide array. Sub-beams of each spectral component may be focused by the Fourier lens onto a location specific to each spectral component and common for both polarization components, for improving polarization performance of the wavelength-selective optical switch.

The invention relates to the technical field of data processing, and particularly provides a method, a system, equipment and a medium for restoring an unknown signal constellation diagram, and the method comprises the steps: carrying out the self-correlation calculation of an in-phase I-path component of a received signal, carrying out the spectrum analysis of a self-correlation result, so as to enhance a spectrum component corresponding to a symbol rate, estimating the code element rate of the signal from the frequency spectrum; based on the code element rate, analyzing energy change characteristics of I-path and orthogonal Q-path components of the received signal, and detecting and identifying a code element boundary position to obtain a code element boundary sequence; and for each code element interval divided by the code element boundary sequence, aggregating I-path and Q-path sampling values in a stable region of each code element interval to obtain constellation point coordinates corresponding to each code element, and generating a constellation diagram by all constellation points. According to the invention, clear and accurate constellation diagram recovery of various modulation signals, especially high-order QAM signals, under the condition of low signal-to-noise ratio is realized.

The invention relates to the technical field of illumination control, and discloses a multispectral dimming method and device for a mining lamp, and the method comprises the steps: obtaining a dynamic spectrum demand tensor of a mining scene, carrying out the quantization decomposition processing of a spectrum demand function, extracting the initial features of a node of a quantization component matrix, and obtaining the dynamic spectrum demand tensor of the mining scene; and mapping the dynamic weight vector into an initial signal matrix, carrying out manifold optimization processing on the dimming signal matrix, carrying out consistency calibration processing on the optimized spectral distribution, and carrying out iterative tuning on the spectral component proportion through manifold optimization and a particle swarm optimization algorithm to realize refined and dynamic adjustment of spectral output. And the smoothness and adaptability of the output spectrum in a continuous time sequence are ensured through a consistency calibration mechanism. Real-time response to spectrum requirements under variable working conditions can be realized, the problem of spectrum response lag in actual industrial and mining application is solved, and the intelligent adjustment capability of the industrial and mining lamp and the adaptability of the industrial and mining lamp in a complex environment are enhanced.

A method for detecting faint targets based on non-steady-state clutter suppression belongs to the field of target detection and recognition technology. The method involves: extracting the target-specific spectrum and the target-background consistency spectrum from the input infrared image using two learnable filters; employing a densely connected U-Net network with residual connection modules as the backbone network, which uses a bidirectional interactive attention mechanism to extract features from the spectral components, obtaining target-specific features and target-background consistency features; using an instance-level contrastive loss to assist filter learning, achieving decoupling between target-specific features and target-background consistency features; and supervising the target-specific features with real-world annotations to perform infrared small target detection. This invention proposes a frequency domain decoupling method that preserves the effective spectrum, improving target detection performance and achieving effective removal of complex backgrounds.

The disclosed implementations describe a system comprising: first optics to receive an input beam of light having a plurality of spectral components of light and to disperse the input beam into a plurality of spectral beams, wherein each of the plurality of spectral beams corresponds to one of the plurality of spectral components and propagates along a spatial path that is different from spatial paths of other spectral beams; and second optics to collect a portion of each of the spectral beams, wherein the portion collected depends on the spatial path of the respective spectral beam, and to form an output beam of light from the portion collected of each of the spectral beams, wherein a spectral distribution of the output beam is different from a spectral distribution of the input beam of light.

The invention discloses a graph convolutional network confrontation defense method based on adaptive frequency spectrum filtering. Firstly, spectral analysis is performed on a graph structure, and spectral distribution of graph data is obtained and evaluated; then, an adaptive spectrum filter is constructed based on the distribution, and the filter can automatically adjust parameters according to the degree distribution and the maximum characteristic value of the graph, so that the most robust spectrum interval under the attack resistance is adaptively determined; on the basis, invalid or harmful frequency spectrum components introduced by disturbance are weakened by a filter and are embedded into the propagation process of the graph convolutional network, and finally, the resistance of the model to confrontation disturbance is improved at the frequency domain level, and a stable prediction result is output. According to the method, negative effects caused by disturbance can be inhibited without adding additional filtering plug-ins, so that the node classification precision and the stability of the model in an adversarial environment are improved.

The invention relates to the technical field of spectrum application, and discloses a fish body surface detection method, device and system based on spectral analysis and a medium, and the method comprises the following steps: firstly, setting corresponding spectral blocks on a reference image, then calculating spectral component data corresponding to each spectral block by using obtained spectral data, and calculating the spectral component data according to the spectral component data; the spectrum blocks can be set based on specific requirements, and the flexibility of spectrum detection is improved. For each spectrum block, determining a spectrum value corresponding to the spectrum block according to the spectrum component data corresponding to the spectrum block and a preset weight vector, and reducing the dimension of the component data or curve data of the spectrum into a numerical value through the weight vector; and finally, according to the spectrum values corresponding to all the spectrum blocks, determining all the plaque information on the reference image, and further determining a surface detection result of the to-be-analyzed fish body. According to the method, the corresponding spectrum blocks and the weight vectors can be set in a targeted manner according to detection requirements through the spectrum values of the spectrum blocks, so that the accuracy and the flexibility of fish body spectrum detection are improved.

A microphone signal beamforming processing method and related products are provided. The method includes: obtaining a frequency domain signal of each of at least three microphones by performing time-frequency transforming on first output signals, and performing a plurality of different groups of beamforming preprocessing on the frequency domain signals; performing a plurality of different groups of cross-pattern analysis on the plurality of beam signals to obtain a plurality of positive weighting coefficients, multiplying the plurality of positive weighting coefficients to obtain a combined coefficient, and multiplying the combined coefficient with the frequency domain signal of any one of the at least three microphones to obtain a weighted spectral component; and performing inverse time-frequency transforming on the weighted spectral component. In the disclosure, channel separation is better achieved using combined cross-pattern analysis than using traditional methods, resulting in narrower beams with excellent sidelobe suppression and higher signal-to-noise ratio.

A spectrometer (1) for analyzing a light sample (2) is described and illustrated, comprising a light coupling element (3), a beam-shaping optic (4) comprising several elements, a further beam-shaping optical element (5), and a detector (6). The elements are arranged along an optical path through which the light sample (2) to be analyzed passes during the operation of the spectrometer (1). The further beam-shaping optical element (5) is arranged on the optical path between the beam-shaping optic (4) and the detector (6). Light incident on the beam-shaping optic (4) is decomposed into its spectral components (2.1, 2.2), and the spectral components (2.1, 2.2) are directed to spatially separate regions (7, 8) of the further beam-shaping optical element (5). The further beam-shaping optical element (5) is configured to absorb the different spectral components. (2.1, 2.2) such that the focal points (B2.1, B2.2) of the different spectral components (2.1, 2.2) fall into the same spatial region (9) of the detector (6).

Systems and methods for generating a blood flow pattern of a target area of a subject in real time are provided. The approach involves receiving a video stream or sequence of multispectral images from a medical imaging device, such as an endoscope, retinal imaging device, or skin tissue sensor. The system identifies a region of interest (ROI) and decomposes the image data into pixel-level optical intensity data comprising individual spectral components, including visible (RGB), infrared (IR), or ultraviolet (UV) values. By analyzing temporal variations specifically calculating the statistical variance or standard deviation of these components the system detects pulsatile signals corresponding to blood flow. A real-time blood flow pattern map is generated and output to a display, often as a visual overlay on the original video stream, to reveal spatial perfusion characteristics, indicate tissue abnormalities, or distinguishing between superficial and deep blood flow.

This invention discloses a cavitation noise extraction method based on picket fence effect resampling. The method includes the following steps: acquiring the acoustic signal segment p of the ultrasonic cavitation sound field. i (t); for the acoustic signal segment p of the ultrasonic cavitation sound field i Perform a Fourier transform on (t) to obtain the signal spectrum p. i (f); Based on the spectral components of the signal spectrum, the sampling rate f of the picket fence effect resampling is obtained through analysis. s‑2 The acoustic signal of the ultrasonic cavitation sound field was resampled using the fence effect to obtain the fence effect resampled signal p. a g ain‑i (t); resampled signal p for the fence effect again‑i (t) After Fourier transform, the 0Hz component is set to zero to obtain the cavitation noise signal spectrum p. cavitation‑i (f); p of the cavitation noise signal spectrum cavitation‑i (f) Perform an inverse Fourier transform to obtain the cavitation noise signal p cavitation‑i (t); Multiple cavitation noise signals are spliced ​​together in the time domain to obtain the total cavitation noise signal. This method is simple to operate and can effectively extract cavitation noise signals from ultrasonic cavitation sound fields.

A method of reconstructing an input signal includes providing (104) a first sampled signal (110) by sampling an input signal (102) at a sampling rate fs, the sampling rate being less than a Nyquist sampling rate for the input signal, providing a delayed input signal (107), sampling (108) the delayed input signal at the sampling rate to provide a second sampled signal (112), performing (114) a Fourier transform of the first sampled signal and the second sampled signal to provide a first signal spectral component (118) and a second signal spectral component (120), respectively, combining (122) the first signal spectral component and the second signal spectral component to provide a first de-aliased spectral component (124A) and a second de-aliased spectral component (124B), and performing (126) an inverse Fourier Transform on the first de-aliased spectral component and the second de-aliased spectral component to provide a reconstructed signal (128).

The present invention makes it possible to reduce the burden of calculation for FFT analysis and efficiently perform measurement processing in an optical interference measurement device for performing measurement on the basis of phase spectrum information and amplitude spectrum information acquired through the FFT analysis from interference signals of two optical combs. An FFT algorithm, which performs DFT of order N, is used from data S (v) of the number of samples of kN shown in Equation (6) to obtain spectral components in the frequency domain from time series waveform data obtained by digitizing a time domain interference signal, and calculate an absolute distance D to a measurement surface of an object to be measured 50 from a reference point that is obtained by defining the position of a beam splitter 22A of a measurement interference system 22 as the reference point.

An apparatus for reducing speckle in holographic displays is disclosed. An illumination subsystem with one or more emitters and wavelength-selection elements provides multiple mutually incoherent spectral components at discrete wavelengths. A modulation stage receives the illumination, and display optics direct modulated light toward an image plane. Control circuitry selects at least two discrete wavelengths, computes wavelength-aware modulation patterns to decorrelate wavelength-dependent speckle fields, and directs the illumination subsystem to illuminate the modulation stage with the selected wavelengths effectively concurrently within an integration interval while applying the computed patterns. Resulting intensities from the concurrently illuminated, mutually incoherent wavelengths incoherently sum at the image plane to reduce speckle. The architecture can be integrated into near-eye display systems. Methods of use and manufacture are also disclosed.