63 results about "Spectrum shaping" patented technology

Provided is an image sensor including a sensor substrate including a first photosensitive cell and a second photosensitive cell which are configured to sense light incident on the sensor substrate, a color separating lens array configured to change a phase of first wavelength light and a phase of second wavelength light such that the first wavelength light travels to the first photosensitive cell and the second wavelength light travels to the second photosensitive cell, and a spectrum shaping layer including a plurality of nanostructures respectively having a first refractive index, and a dielectric material provided between the plurality of nanostructures and having a second refractive index, the spectrum shaping layer being provided between the sensor substrate and the color separating lens array and configured to shape a spectral profile of the light incident on the sensor substrate by reflecting and / or absorbing portion of light passing through the color separating lens array.

The invention relates to the technical field of sequential control, and discloses a sequential logic control circuit for a noise shaping SAR ADC (Synthetic Aperture Radar Analog to Digital Converter), which comprises an analog signal acquisition circuit for receiving and preprocessing an initial input signal; the noise shaping circuit is used for performing frequency spectrum shaping on quantization noise in the analog signal and generating the analog signal subjected to noise shaping; the successive approximation type analog-to-digital converter is used for performing bit-by-bit comparison with the analog signal subjected to noise shaping and gradually completing conversion from the analog signal to the digital signal from the highest bit to the lowest bit; and the clock control circuit is used for coordinating sequential logic among the analog signal acquisition circuit, the noise shaping circuit and the successive approximation type analog-to-digital converter. According to the method, frequency spectrum remodeling is carried out on the quantization noise in the signal, the signal-to-noise ratio of the signal is remarkably improved on the premise that the hardware complexity is not additionally increased, and then interference of the noise on follow-up analog-to-digital conversion is reduced.

The embodiment of the invention provides a seismic acquisition data speed normalization method and system, and belongs to the technical field of seismic data processing. The method comprises the following steps: performing signal reduction normalization processing on acquired data, eliminating the influence of frequency spectrum shaping equipment, classifying according to the type of a detector, forming a corresponding seismic data set, eliminating the influence of gain, and converting the signal into a unified speed physical quantity; determining a deconvolution operator according to the detector frequency response and executing deconvolution processing; performing high-pass filtering and unified calibration on the processed data to obtain data with consistent dynamic response; and outputting a speed normalization result based on the data. According to the scheme, the problem of inconsistent response caused by the type difference of the detectors is effectively reduced, and the seismic data resolution and the signal-to-noise ratio under the combined acquisition condition of multiple types of detectors are improved.

The invention discloses an overseas warehouse storage and distribution path dynamic optimization system and method based on big data, and relates to the technical field of intelligent storage and distribution optimization, and the method comprises the steps: obtaining cargo physical parameters to calculate a batch resonance description amount; performing frequency domain transformation on the vertical acceleration of the path unit to obtain a normalized spectral form; calculating the energy overlapping degree of the two in the frequency domain to obtain a spectral resonance overlapping amplification index; and constructing a batch-related edge weight based on the index, solving an optimal path in the unified graph, and determining a final execution path. The method can effectively identify and avoid the path where the vibration energy is concentrated on the sensitive frequency band of the goods, and reduces the resonance damage risk while guaranteeing the operation efficiency.

The invention discloses a transient absorption spectrum scanning data validity control and sample state determination method and system, and the method comprises the steps: obtaining a two-dimensional data matrix of multiple times of scanning, carrying out the time zero point alignment and intensity normalization preprocessing, extracting a spectrum vector at a key delay time point, and calculating the spectrum shape similarity to determine the spectrum shape consistency, and constructing a dynamic proportion parameter in a sentry band to judge dynamic trend consistency, and marking abnormal scanning and executing a processing strategy according to the results of the dynamic proportion parameter and the dynamic trend consistency. According to the invention, objective determination of validity of scanning data is realized, spectral distribution form and dynamic behavior change are described, real-time abnormity determination and control in an experiment process are supported, and reliability and repeatability of an experiment result are improved.

This disclosure provides a digital transmitter, relating to the field of transmitter technology. It includes: a baseband data generation unit for multi-phase output of baseband data; and a basic unit including an I-channel mixer and a Q-channel mixer. The I-channel mixer performs mixing processing on the multi-phase outputs of the positive-phase I-channel baseband data and the negative-phase I-channel baseband data, while the Q-channel mixer performs mixing processing on the multi-phase outputs of the positive-phase Q-channel baseband data and the negative-phase Q-channel baseband data. The positive-phase outputs of the I-channel and Q-channel mixers are respectively connected to the positive-phase RF input of the digital transmitter, and the negative-phase outputs of the I-channel and Q-channel mixers are respectively connected to the negative-phase RF input of the digital transmitter. This disclosure simplifies the circuit structure of traditional digital transmitters and enables effective bandwidth expansion. Furthermore, by introducing multi-tap filtering for the baseband data, better spectrum shaping can be achieved.

The application discloses a random load spectrum fatigue life correction method based on a spectrum shape factor and an improved nominal stress method, and comprises the following steps: fatigue test life of a first random load spectrum and a second random load spectrum is acquired; a function relationship between a calculation error and a load spectrum shape factor is established according to the fatigue test life of the first random load spectrum and the second random load spectrum; and fatigue life of a target random load spectrum is corrected according to the function relationship. By introducing the load spectrum shape factor to explicitly represent the spectrum shape difference, combining two sets of test data to construct an error correction function, the application can effectively improve the prediction accuracy of the random load spectrum fatigue life under different spectrum shapes, and has low test cost and strong engineering implementation.

The invention belongs to the technical field of near-infrared spectrum calibration transfer, and particularly relates to a CycleGAN-based non-standard near-infrared spectrum calibration transfer method and a CycleGAN-based non-standard near-infrared spectrum calibration transfer system. Obtaining a non-standard spectrum of a near-infrared spectrometer serving as source equipment, naming the non-standard spectrum as a source domain spectrum, inputting the source domain spectrum into the trained calibration transfer model, and converting the source domain spectrum into a spectrum with target domain spectrum distribution characteristics; the calibration transfer model is constructed based on the CycleGAN, and the identity mapping loss used by a generator in the CycleGAN is optimized for representing the difference between the source domain spectrum and the output of the source domain spectrum input to the generator mapping the target domain spectrum to the source domain. And the difference between the target domain spectrum and the output of the target domain spectrum input to a generator mapping the source domain spectrum to the target domain, and the weight corresponding to the identity mapping loss is a positive number at the initial stage of training and is set to be 0 after the initial stage of training. According to the invention, unnecessary distortion of the spectrum shape structure in the calibration transfer process can be effectively inhibited.

A dummy light transmission method, a dummy light identification method, and a related device. A light emitting apparatus performs spectrum shaping on first multi-wavelength dummy light generated by a dummy light source, to obtain second multi-wavelength dummy light, so that a spectral feature of the second multi-wavelength dummy light is different from a spectral feature of service light. The light emitting apparatus selects target dummy light from the second multi-wavelength dummy light to fill an idle band. A light receiving apparatus receives the service light and the target dummy light from the light emitting apparatus. Because the target dummy light and the service light have different spectral features, the light receiving apparatus can effectively distinguish the service light from the target dummy light through spectrum detection and spectrum analysis.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. An apparatus includes a processor and a transceiver operably connected to the processor. The transceiver is configured to: segment a set of modulated data symbols based on a phase change between N consecutive modulated data symbols to produce Q sets of data symbols; and generating Q sets of DFT extended data symbols based on the Q sets of data symbols. The transceiver is further configured to: frequency domain spectral shaping (FDSS) filtering each of the Q sets of DFT extended data symbols via different FDSS filters to produce Q sets of FDSS filtered data symbols; and combining the Q sets of FDSS filtered data symbols. The transceiver is further configured to: perform an inverse fast Fourier transform (IFFT) operation on the combined Q groups of FDSS filtered data symbols to produce an FDSS discrete Fourier transform extended orthogonal frequency division multiplexing (DFT-s-OFDM) signal; and transmitting the FDSS-DFT-s-OFDM signal, and transmitting the FDSS-

The invention relates to the technical field of voice signal processing and audio coding, and discloses a frequency spectrum shaping parameter derivation method in an LC3 coding framework based on a neural network. The method comprises the following steps: performing frequency band energy analysis on an input audio frame, calculating energy of each frequency band according to a preset frequency band division rule, and obtaining multi-frequency band energy information representing spectrum distribution characteristics of the current frame; based on the multi-band energy information, combining a frame-level coding parameter and a transient detection mark, constructing an input feature vector for neural network reasoning, and predicting a spectrum shaping parameter consistent with an LC3 standard by a neural network; and the prediction parameters are further quantized and coded according to the LC3 standard and are used for subsequent spectrum shaping processing, so that on the premise of not changing an LC3 standard bit stream structure and decoder end behaviors, the improvement of a spectrum shaping parameter derivation mode is realized, and the stability and adaptability of coded speech spectrum features are improved.

The invention relates to the technical field of microwave radio frequency front ends, in particular to a sectional type matching microwave radio frequency front end module framework. Comprising a radio frequency input, a power amplifier, a multi-path adjustable switch matching array, a filter bank and an antenna device, and the radio frequency input is connected to the input end of the power amplifier; the output end of the power amplifier is connected with one end of the multi-path adjustable switch matching array; the other end of the multi-path adjustable switch matching array is connected with one end of the filter bank; the other end of the filter bank is connected with the antenna device; the power amplifier is configured to work in a low impedance window; the multi-path adjustable switch matching array is used for selecting a filter; the filter bank is configured to have a low input impedance characteristic and spectrally shaped. Through a sectional matching architecture, the matching network is separated from the filter and the switch module, so that the system can automatically select an optimal impedance path according to different working modes, and high-efficiency matching between low impedance and standard impedance is realized.

The invention discloses a T2 spectrum form correction method, device and equipment in a tight gas reservoir oil-based mud invasion state and a storage medium, and relates to the technical field of logging data processing in oil-gas exploration. The method comprises the following steps: firstly, acquiring T2 spectrum data of to-be-corrected oil-based mud in a research area in an invasion state, secondly, decomposing the T2 spectrum data by utilizing a T2 spectrum decomposition method combining wavelet transform and Gaussian fitting, and determining a T2 spectrum correction equation by utilizing a fluid replacement method based on a decomposition result; and correcting T2 spectrum data to be corrected in an oil-based mud invasion state by using the obtained T2 spectrum correction equation. According to the method, many problems brought to NMR logging fluid identification after the oil-based mud invades the stratum can be solved more comprehensively and effectively, and more reliable and accurate technical support is provided for tight gas reservoir fluid identification work.

The invention discloses an ear plate local stress high spatial resolution monitoring method and system based on ultra-weak grating spectral shape demodulation. The system comprises an optical fiber sensing array, a light source module, a detection module, a data acquisition and physical information neural network inversion module and a display alarm module. The optical fiber sensing array is composed of N ultra-weak gratings arranged in a stress concentration area of the ear plate and is used for sensing local strain; the light source and detection module adopts a time division and wavelength division multiplexing strategy to realize synchronous monitoring of multiple ear plates; the data acquisition and inversion module acquires stress distribution along the length direction of the ultra-weak grating based on a physical information neural network inversion model; and the display alarm module realizes local stress threshold alarm of the ear plate. According to the invention, high-precision and real-time monitoring of local stress of metal connection nodes such as ear plates can be realized, the method is suitable for long-term online health monitoring of large-scale structure connection areas such as bridge inhaul cables, steel trussed beams and cable bent towers, and technical support is provided for structural fatigue early warning and safety assessment.

Provided are an ultra-wideband transmitter capable of delay-based spectrum shaping and a method of driving same according to an example of the present disclosure. In particular, the ultra-wideband transmitter may comprise: a clock generation unit for generating and outputting at least one clock signal having a predetermined period; a pulse generation unit for receiving the clock signal generated from the clock generation unit and generating a first pulse signal and at least one second pulse signal having a preset frequency band; a pulse shaping unit for shaping the first pulse signal and the at least one second pulse signal to match a transmission scheme; a multiplexer for selecting one of the at least one clock signal on the basis of phase data and outputting a carrier wave; a power amplification unit for amplifying each pulse signal shaped by the pulse shaping unit or a combined pulse signal obtained by combining the shaped pulse signals; and a combination unit disposed before or after the power amplification unit to combine the pulse signals shaped by the pulse shaping unit or the pulse signals amplified by the power amplification unit and output a combined pulse signal.

The present disclosure provides a splicing filter, a splicing method and an electronic device. The splicing filter comprises a first type filter and a second type filter spliced with the first type filter; the first type filter processes an input signal and outputs the processed signal to the second type filter; wherein the splicing filter is a multi-order super-Gaussian filter. Through the embodiment of the present disclosure, the high performance indicators of the first type filter and the second type filter can be inherited, the performance indicators of the splicing filter can be further improved through the two-stage cascading splicing mode between the first type filter and the second type filter, and the multi-order super-Gaussian filter has a high rectangularity spectrum shape, low cost and is easy to popularize.

The invention belongs to the related technical field of concrete bridges, and discloses a rigidity prediction method and system based on an order spectrum unit and an isoparametric unit in a concrete bridge. The method comprises the following steps: identifying key areas for creep analysis in a finite element model of a concrete bridge, setting order spectrum nodes in each key area according to creep characteristics of each key area, and determining an order spectrum shape function of each key area according to the number of the order spectrum nodes in each key area; connecting the order spectrum nodes in each key area to form a grid unit; each grid unit is regarded as an eight-node shape unit, and the rigidity of each key area is calculated through the shape function of the shape unit and the order spectrum shape function of each key area. According to the method, the problems of direction anisotropy self-adaption, low calculation precision and low numerical stability are solved.

The invention discloses a numerical control machine tool machining error modeling method and system, and the method comprises the steps: collecting temperature rise time sequence data at a key part of a main shaft, representing machining error frequency domain features through workpiece surface topography power spectral density (PSD), and constructing a thermal spectrum neural operator network model; and learning mapping between the temperature rise evolution and the PSD of the surface of the processed workpiece and outputting a prediction result of the PSD of the surface of the workpiece. The network adopts a four-stage structure of continuous time coding, frequency registration, optimal transmission measurement and energy calibration which are respectively used for adapting to non-uniform sampling and dynamic working conditions, modeling spectrum peak drift and frequency axis dislocation, depicting spectrum shape overall migration and local deformation, and ensuring PSD energy consistency through Parseval energy constraint. According to the method, intermediate frequency energy change, spectral peak drift and spectral shape distortion can be accurately described, interpretable support is provided for error traceability and process compensation, and precision and cross-working-condition generalization ability are improved.

A wavelength dispersion measurement apparatus includes a light source, a light pulse train generation unit, an optical amplifier, a measurement unit, a computing unit, a spectrometer, and a control unit. The light pulse train generation unit generates a light pulse train including a first light pulse and a second light pulse based on a light pulse output from the light source. The spectrometer measures a spectrum of the light pulse train output from the light pulse train generation unit after passing through the optical amplifier. The control unit controls generation of the light pulse train by the light pulse train generation unit such that a spectrum shape of each of the first light pulse and the second light pulse is symmetric, based on the spectrum measured by the spectrometer.

The application discloses a liquid crystal phased array fast-response bistable driving and low-power scanning method, equipment and medium, and relates to the technical field of liquid crystal phased array.The application compares the deviation matrix generated by real-time acquisition of liquid crystal molecule response data with the digital twin theory value, combines the deep reinforcement learning to output the electric field parameter, generates the non-uniform composite electric field through the reverse design of topological photonics, realizes the high-precision bistable steering of molecules, reconstructs the adaptive sparse scanning path based on the Bayesian compressed sensing, optimizes the energy distribution by matching the dynamic energy spectrum shaping strategy, predicts the molecule steering state through the physical information neural network embedded with physical constraints, generates the pre-control driving sequence combined with the event triggering mechanism, and outputs the optimal control instruction through the Lyapunov optimization, so that the steering response speed and stability of the liquid crystal phased array are effectively improved, and the energy utilization efficiency is greatly improved.

There is provided an apparatus comprising means for providing information to a network, the information indicating that the apparatus has at least one asymmetric spectrum shaping capability, receiving an indication from the network to adjust an additional maximum power reduction within a frequency band associated with the at least one asymmetric spectrum shaping capability and performing at least one additional maximum power reduction adjustment within the frequency band based on the received indication.

The application provides a high-power narrow-pulse-width laser and a regulation method thereof, the laser comprising a seed source, a first pulse-width regulation grating, a gain fiber, a spectrum shaping system and an amplifier; the first pulse-width regulation grating is arranged behind the seed source and is used for introducing dispersion in initial signal light; the gain fiber is used for amplifying the optical signal to realize spectrum broadening by using the self-phase modulation effect of the optical signal; the spectrum shaping system is arranged behind the gain fiber and is used for performing amplitude modulation and phase modulation on the broadened optical signal; and the amplifier is arranged behind the spectrum shaping system and is used for performing energy amplification on the shaped optical signal to obtain high-power narrow-pulse-width laser. By introducing dispersion in the initial signal light, the self-phase modulation effect of the gain fiber is used to realize spectrum broadening, and the amplitude and phase modulation of the spectrum shaping system on the broadened optical signal effectively compensates the gain narrowing and nonlinear phase accumulation in the amplification process.

The application discloses a low-peak sidelobe non-continuous spectrum signal spectrum shaping method, and belongs to the field of radar waveform design.The present application aims at the problem that the existing spectrum shaping method does not consider the peak sidelobe and trade-off signal-to-interference-and-noise ratio, so that the spectrum template is relatively simple and has more defects.The application comprises the following steps: based on the power spectrum representation of the transmitted signal, the signal-to-interference-and-noise ratio and the weighted peak sidelobe level are obtained, and an exponential logarithmic smoothing function is used to transform the weighted peak sidelobe level to obtain the transformed weighted peak sidelobe level; the target function is weighted; the power spectrum constraint condition is set, and the spectrum shaping optimization problem is established in combination with the target function; the spectrum shaping optimization problem is solved to obtain the optimal power spectrum; the signal-to-interference-and-noise ratio and the peak sidelobe corresponding to the optimal power spectrum are calculated; and the spectrum template of the transmitted signal is obtained according to the relationship between the signal-to-interference-and-noise ratio and the peak sidelobe corresponding to the optimal power spectrum under different weighting coefficients, so that the spectrum shaping is realized.The application is used for spectrum shaping.

The invention discloses a signal simulator for a nuclear power station loose component monitoring system, and relates to the technical field of nuclear power station equipment monitoring, a man-machine interaction module receives signal parameters of an impact signal to be simulated by the signal simulator, and a controller controls a signal generation module to generate the signal parameters, the method comprises the following steps: generating a sine wave basic signal with a frequency corresponding to a signal parameter through a direct digital frequency synthesizer, converting the sine wave basic signal into an impact pulse with a width corresponding to the signal parameter through a pulse forming network, and carrying out frequency spectrum shaping on the impact pulse through a filter corresponding to the material of a to-be-simulated loose component. And finally, the impact pulse after frequency spectrum shaping is adjusted to an amplitude corresponding to a signal parameter through a gain amplification circuit, and a simulated impact signal is obtained. According to the invention, different signal characteristics of the impact signal generated by the impact of the loose part can be simulated from multiple angles, and the simulation precision of the impact signal generated by the impact of the loose part is improved.

This invention discloses a method and system for inverting a continuous surface emissivity spectrum, relating to thermal infrared remote sensing parameter inversion technology. Focusing on the problem of emissivity spectrum inversion under hyperspectral thermal infrared remote sensing, this invention combines machine learning models with wavelet transform to achieve direct inversion of the surface emissivity spectrum. This invention not only fully utilizes the high precision and efficient computation of the random forest algorithm but also effectively captures the shape characteristics of the emissivity spectrum in the thermal infrared band, thereby alleviating the neglect of emissivity spectrum shape in traditional methods and avoiding the limitations of traditional methods such as dependence on atmospheric correction accuracy or difficulty in decoupling surface temperature and emissivity values. Therefore, this invention can directly invert high-precision, continuous, and complete surface emissivity spectra from observation data from spaceborne or airborne hyperspectral thermal infrared sensors, which has significant value for subsequent industry applications.

The present application relates to the technical field of image processing, and discloses a kind of polarization filtering and light field imaging's underwater alum flower identification method and system, solve the problem that prior art cannot realize the high-fidelity acquisition and accurate quantification of alum flower morphological characteristics under high turbidity, dynamic water quality working condition.The present application is through the collaborative optical design of polarization filtering and light field imaging, suppresses water backscattering and Mie scattering interference at the collection source, provides high-fidelity image basis for subsequent morphological quantification;Introduce double-domain Gaussian window spectrum shaping and truncated sinc interpolation kernel, improve the refocusing position accuracy without hardware modification, eliminate the ringing artifact and phase distortion caused by traditional linear interpolation;Multi-scale Retinex enhancement model accurately adapts to the low contrast and multi-scale texture characteristics of alum flower, retains the texture information required for fractal dimension calculation completely under the premise of avoiding noise amplification, and linear fitting is combined with box counting method, so that the fractal dimension estimation error is reduced.

The application provides a temperature compensation type low-noise optical signal processing and signal shaping optimization method and system, the application utilizes a low-noise PIN balance detector to preliminarily suppress noise of an optical signal to be processed, and obtains a differential voltage signal; a BP neural network is introduced to correct a multi-parameter collaborative temperature compensation model, and a voltage signal compensated according to the corrected compensation model is obtained; then, an adaptive wavelet threshold filtering algorithm is used for deep noise reduction processing, and a noise-reduced optical signal is obtained; and real-time identification of an optical signal distortion type and a distortion degree is performed, and a prism dispersion and a spatial light modulator are used for shaping the distorted optical signal. The application simultaneously compensates for signal amplitude, phase and dark current noise, can accurately offset nonlinear distortion caused by device temperature drift, can simultaneously realize waveform shaping and spectrum shaping, can correct problems such as pulse broadening and waveform distortion, and can suppress spectrum fluctuation and solve multi-stage diffraction crosstalk problems.

The invention discloses a port area power distribution network sequential energy storage configuration optimization method and system based on traffic-electric energy fusion. The method comprises the following steps: acquiring multi-source data of a traffic system and a power system, and carrying out multi-source data collection and baseline modeling to obtain port baseline data; based on the port area baseline data, carrying out micro-amplitude peak shifting on the traffic side operation phase to execute power spectrum shaping, and obtaining traffic side shaped data; based on the traffic side reshaped data and harbor area baseline data, traffic side executable flexibility capability, cost and risk are packaged into a standardized three-signal interface; and based on the standardized three-signal interface, the energy storage equipment model and the power grid constraint set, performing power side closed-loop solution to obtain a power side feedback signal and power side execution scheduling. Through a sequential framework, active noise reduction on the traffic side and flexible quantification cooperation on the power side are achieved, and the energy storage configuration cost and the system operation cost are reduced on the premise that the operation throughput is not affected.