92 results about "Spectral component" patented technology

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.

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.

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 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.

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.

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.

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).

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.

A technique is provided for reducing angle random walk (ARW) noise in a resonant optical gyroscope (ROG) using a pair of optical frequency combs. The ARW noise is reduced by propagating each optical frequency comb through a dispersive optical component. As a result, at least some of the spectral components, of an optical frequency comb emitted from a dispersive optical component, are no longer phase locked. As a result, ROG rotation rate accuracy is increased.

The invention discloses a control method of a multi-piezoelectric ceramic vibration exciter parallel combination system, and relates to the technical field of vibration control and piezoelectric driving, and the method comprises the steps: synchronously collecting the working time sequence waveform of each vibration exciter and the energy consumption flow data of the system, calibrating the waveform, and carrying out the spectrum purity analysis of the energy consumption data to extract the fundamental wave and harmonic wave components. And performing time-frequency domain alignment fusion on the calibrated time sequence waveform and the energy consumption spectrum component, and constructing a system state fusion tensor. And based on the tensor, identifying phase coherence and energy coupling strength among excitation units in the system, and further deducing a global vibration mode and a local instability risk area of the system. And making a dynamic balance control plan according to a deduction result, redistributing output energy of each vibration exciter and coordinating action phases of the vibration exciters. According to the invention, accurate diagnosis and risk prediction of the internal interaction state of the parallel vibration exciter system are realized, and the stability and controllability of cooperative work of the system are improved.

This application belongs to the field of image spectral correction technology, specifically a remote sensing image spectral correction method based on mixed pixel decomposition, comprising: acquiring remote sensing image data and endmember spectral data of photosynthetic vegetation, non-photosynthetic vegetation, and bare soil; performing mixed pixel decomposition on the remote sensing image data using the endmember spectral data to obtain the spectral components of photosynthetic vegetation, non-photosynthetic vegetation, and bare soil in each mixed pixel; using the spectral components as prior information to construct multi-source input features together with the original image spectrum of the remote sensing image data; training the spectral correction model to learn the nonlinear mapping relationship between the original image spectrum of the remote sensing image data and the target soil spectrum; and using the trained spectral correction model to process the remote sensing image to be corrected to obtain the corrected spectral image. This method effectively separates the spectral contributions of different land cover components in mixed pixels and reduces the interference of non-soil components on the soil spectral signal.

An apparatus for generating a synthesis audio signal using a patching control signal has a first converter, a spectral domain patch generator, a high frequency reconstruction manipulator and a combiner. The first converter is configured for converting a time portion of an audio signal into a spectral representation. The spectral domain patch generator is configured for performing a plurality of different spectral domain patching algorithms, wherein each patching algorithm generates a modified spectral representation having spectral components in an upper frequency band derived from corresponding spectral components in a core frequency band of the audio signal. The spectral domain patch generator is furthermore configured to select a first spectral domain patching algorithm from the plurality of patching algorithms for a first time portion and a second spectral domain patching algorithm from the plurality of patching algorithm for a second different time portion in accordance with the patching control signal to obtain the modified spectral representation.

A method includes directing a laser beam to irradiate a section of a substrate to remove a layer formed on the section. At least a spectral component indicative of layer material removed from the layer is detected from light emitted from the section in response to the irradiating laser beam. Based on the detected spectral component, the laser beam irradiation of the section is controlled or stopped.

This disclosure relates to a method, system, device, medium, and procedure for deconvolution of seismic data. The method includes: performing multi-level noise suppression on seismic data to obtain denoised seismic data; performing geometric correction and data realignment on the denoised seismic data to obtain a common centroid gather, and dividing the common centroid gather into time windows to obtain a stratigraphic time window group; performing seismic trace analysis on the denoised seismic data to obtain a seismic trace energy spectrum matrix; performing spectral factor decomposition on the seismic trace energy spectrum matrix based on the denoised seismic data to obtain a spectral component group; and performing dual-window deconvolution on the denoised seismic data based on the spectral component group and the stratigraphic time window group to obtain standard seismic data. This improves the resolution and accuracy of the seismic data after deconvolution.

The application relates to the technical field of oil exploration, and particularly discloses a multi-seismic-source aliasing seismic data decoupling separation method, which comprises the following steps: inputting aliasing seismic data and establishing a mathematical model, converting a separation problem into a signal recovery problem with constraints; reorganizing the data into a common offset domain, constructing a cascade shift embedded Hankel matrix to form a low-rank prior; designing an energy-aware modulation function based on spectral component values to adaptively distinguish effective signals and crosstalk; fusing a weighted spectral norm and a transform domain sparsity constraint to construct a joint structured penalty optimization model; and adopting a variable splitting iteration framework to decompose a sub-problem, alternately solving and adaptively updating weights. The application protects effective signals by relying on an adaptive weight strategy, separates crosstalk by combining low-rank and sparse double characteristics, overcomes signal leakage and amplitude distortion problems, improves waveform fidelity and separation signal-to-noise ratio, and takes into account convergence stability and calculation efficiency, so that the application has important application value in complex geological oil and gas exploration and high-precision seismic imaging.

A laser system generates laser pulses having a determined carrier-envelope-offset, CEO. The laser system includes a Cr-doped II-VI based laser oscillator system having a resonator cavity, which emits laser pulses having a peak power of at least 0.75 MW. The laser system further includes a nonlinear optical element for spectrally broadening at least a part of the emitted laser pulses irradiated onto the nonlinear optical element to provide the laser pulses with octave-spanning spectral components, and a frequency-doubling element for generating second harmonic spectral components of at least a part of the octave-spanning spectral components. In addition, the laser system includes an f-2f-interferometry device for generating a beating signal of at least a part of the overlapping spectral components exiting the frequency-doubling element and interfering with each other at the f-2f-interferomtry device and for determining and / or controlling the CEO of the emitted laser pulses based on the beating signal.

The application provides a power quality interharmonic detection method and device based on an electric energy meter, and relates to the technical field of power quality monitoring. The method comprises the following steps: acquiring continuous sampling data of a power grid signal, and preprocessing to obtain a complex frequency spectrum; adopting improved IEC grouping and adaptive threshold filtering to filter out false spectral lines, and generating a spectral component list; constructing a state space model and initializing a linear Kalman filter; using the linear Kalman filter to output optimal estimates of instantaneous amplitude, instantaneous phase and instantaneous frequency through prediction and update, and reconstructing the estimated value of the power grid signal; calculating the instantaneous estimation error according to the current sampling point data and the estimated value of the power grid signal; judging whether the power grid spectrum has a mutation according to the instantaneous estimation error and the maximum allowable error, and returning to step S1 to detect again based on the latest continuous sampling data when the mutation occurs. The scheme can improve the accuracy and adaptability of interharmonic detection.

A method includes receiving an x-ray signal transmitted from an x-ray transmitter through a coated separator membrane. The method also includes obtaining infrared (IR) signals from the coated separator membrane. The IR signals include two or more spectral components including peaks that include a first peak from the separator membrane. The method also includes the processor determining whether a second peak is present, and determining if at least one contaminant / additive exists in the coating present within the coated separator membrane. The method also includes calculating, by the processor, a concentration / area weight of the at least one contaminant / additive and a weight, density, or thickness of the coating.

This application provides a method and system for detecting black foreign objects between circuit boards based on multi-channel differential grayscale analysis, belonging to the field of automatic optical inspection technology for semiconductor packaging substrates. The method involves: acquiring the original image of the circuit board under test under a preset light source; extracting spectral components within a preset wavelength range to generate an image to be processed; and performing differential enhancement processing to generate an enhanced image. According to a preset scanning strategy, the effective detection area image is extracted from the enhanced image, and the reference grayscale value of the substrate is calculated. At least two detection channels are configured, with different grayscale threshold ranges and detection targets set for each channel. The effective detection area image is input into each of the at least two detection channels, and defect detection is performed in parallel based on the grayscale threshold ranges set for each channel. The detection results from each detection channel are then combined to output the final defect information. This application utilizes multi-channel differential grayscale analysis to enhance contrast, accurately identify black foreign objects, and reduce false alarms.

The invention provides an electric energy quality inter-harmonic detection method and equipment based on an electric energy meter, and relates to the technical field of electric energy quality monitoring, and the method comprises the steps: obtaining continuous sampling data of a power grid signal, and carrying out the preprocessing to obtain a complex frequency spectrum; filtering false spectral lines by adopting improved IEC grouping and adaptive threshold filtering to generate a spectrum component list; constructing a state space model and initializing a linear Kalman filter; using a linear Kalman filter to predict and update the optimal estimation of the output instantaneous amplitude, instantaneous phase and instantaneous frequency, and reconstructing the estimated value of the power grid signal; calculating an instantaneous estimation error according to the current sampling point data and the estimated value of the power grid signal; s2, judging whether the frequency spectrum of the power grid suddenly changes or not according to the instantaneous estimation error and the maximum allowable error, returning to the step S1 when the frequency spectrum suddenly changes, and performing detection again based on the latest continuous sampling data. According to the scheme, the accuracy and the adaptivity of inter-harmonic detection can be improved.

A system (20) for quantum computing includes an array of qubits (40) and a radiation source (28) that simultaneously applies radiation to a plurality of qubits in the array that includes a set of spectral components having different respective complex amplitudes in a plurality of vibration sidebands of internal transition frequencies of the qubits. The sidebands are generated by a set of normal patterns having a minimum spacing f between respective vibration frequencies. A controller (32) initializes a multi-qubit gate comprising at least five qubits to an initial state and drives the radiation source to apply radiation to each of the qubits at a respective complex amplitude of a spectral component in the selected set so as to switch the multi-qubit gate to a target state for a gate time of less than 50 / f.