99 results about "Spectrum shaping" patented technology

The invention discloses a frequency domain ground penetrating radar transmitting source coding and receiving signal synthesis method and system. The method comprises the following steps: constructing a frequency domain coding continuous wave ground penetrating radar transmitting signal by extracting amplitude and phase information of multiple frequency points of a time domain ultra-wideband transmitting pulse; adopting a fast forward modeling method based on impulse response to realize forward modeling of a coding source emission signal of the typical geoelectric model; in-phase components and orthogonal components of all frequency points are extracted, frequency responses are synthesized into responses of quasi-time-domain transmitted pulses through an inverse Fourier transform method, the high resolution equal to that of time-domain ultra-wideband transmitted signals is obtained, and higher anti-noise performance is achieved. According to the invention, the amplitude phase coding continuous wave transmitting signal is adopted, so that the frequency spectrum shaping of the quasi-time domain pulse of the transmitting frequency spectrum is realized, the resolving power of the synthetic signal is improved, and a theoretical basis is laid for signal synthesis of frequency domain ground penetrating radar hardware design.

The invention provides an electronic component test system, method and device and a medium, and the method comprises the steps: applying a pulse excitation signal to an input end of a to-be-tested electronic component, and determining an equivalent parasitic parameter set of the to-be-tested electronic component; constructing a signal path simulation network when the to-be-tested electronic component is tested based on the equivalent parasitic parameter set in combination with a test path of the to-be-tested electronic component, and performing test response analysis on the initial test signal through the signal path simulation network to obtain a signal pre-compensation coefficient of the initial test signal in a transmission process; applying a spectrum shaping test signal determined based on the signal pre-compensation coefficient to the to-be-tested electronic component, and determining the waveform fidelity of the actual response and the expected response of the spectrum shaping test signal under the to-be-tested electronic component; and whether the to-be-tested electronic component passes the test is determined based on the waveform fidelity. According to the technical scheme provided by the invention, the to-be-tested electronic component can be effectively tested when the test signal generates distortion deviation.

Aspects of the subject disclosure may include, for example, determining a channel condition of a communication channel and identifying a bandwidth-related power constraint imposed upon the communication channel. A spectrum encoding strategy is determined based on the channel condition and the bandwidth-related power constraint, wherein application of the spectrum encoding strategy facilitates compliance with the bandwidth-related power constraint. The spectrum encoding strategy may be provided to a receiver to facilitate reliable communication of digital information over the communication channel according to the bandwidth-related power constraint. Other embodiments are disclosed.

The invention relates to the technical field of non-contact physiological signals, and discloses a remote physiological signal detection method based on an adaptive filter, a terminal and a medium. The method comprises the following steps: obtaining a to-be-detected face video, and obtaining a noise rPPG signal through noise processing; performing feature extraction on the face video to obtain a multi-scale space-time diagram; fusing the noise rPPG signal and the multi-scale space-time diagram to obtain fused data; performing denoising processing on the fused data by using a denoising module to obtain denoised data; the de-noising module adopts an adaptive filter de-noising module, the interior of the de-noising module is composed of multiple layers of filter structures, and each layer of filter structure comprises a fixed spectrum shaping filter, a scene adaptive shaping filter and a spectrum period feature extraction filter which are connected in sequence; and outputting a predicted rPPG signal according to the denoised data. According to the method, deep fusion and denoising are carried out on the noise and the multi-scale spatial-temporal characteristic data by using the adaptive filter, and high-precision rPPG signal estimation is realized.

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 discloses a radar communication integrated waveform design method based on an OFDM (Orthogonal Frequency Division Multiplexing) signal. The method comprises the following steps that: a transmitting end completes constellation mapping on transmitted communication information, performs ZCT matrix reconstruction, performs serial-parallel conversion on reconstructed communication data, performs spectrum shaping on an integrated signal by adopting an improved Nyquist pulse, and transmits the integrated signal to a receiving end; and then IFFT processing, parallel-to-serial conversion, cyclic prefix addition, digital-to-analog conversion and up-conversion are carried out on the shaped data, and finally integrated waveform emission is completed. And the receiving end performs down-conversion, analog-to-digital conversion and cyclic prefix removal operation on the received signal. In the communication function, serial-to-parallel conversion, FFT processing, inverse pulse shaping, parallel-to-serial conversion, ZC matrix reconstruction solution and inverse mapping are carried out on the data without the cyclic prefix to obtain communication information. In the radar detection function, radar signal processing is performed on data without cyclic prefixes. According to the method, the correlation of OFDM integrated signals can be effectively optimized, the modulation characteristic of communication information is improved, the influence of the communication information on a fuzzy function is reduced, OFDM symbols have better correlation, meanwhile, the peak-to-average power ratio of the system is effectively reduced through pulse shaping, implementation is easy, and the comprehensive performance of the system can be remarkably improved.

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 application discloses a method for improving two-dimensional resolution of GEO SAR based on space spectrum synthesis, constructs a space spectrum shape of the GEO SAR and an expression of a space spectrum offset of an image under different viewing angles in a vector form, replaces space spectrum domain movement with image domain de-skewing, and realizes improvement of two-dimensional resolution of the GEO SAR through space spectrum synthesis.

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.

A signal transmission method and a communication device, a sending end device applies different sending end window functions to a plurality of symbols to be transmitted in a frequency domain spectrum shaping process. The sending end window functions corresponding to different symbols are related to the distance of a target to be perceived, so that within the distance range of the target to be perceived, the range ambiguity function of one or more symbols after applying the sending end window function has a notch or a sidelobe less than a threshold within the distance range. After the receiving end device receives the echo signal reflected by the target to be perceived, it can determine whether the target to be perceived exists according to whether the range image generated by one or more symbols has a peak or a sidelobe greater than a threshold within the distance range, thereby reducing the sidelobe level (peak) in the range image, effectively reducing the false alarm probability and the missed detection probability of the perceived target.

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 application discloses a reconfigurable microwave photonic filter, comprising a laser source, an electro-optic modulator, an adjustable feedback type array waveguide grating, a filtering module and a photoelectric detector, the laser source generates an optical signal which is transmitted to the electro-optic modulator, the electro-optic modulator modulates the optical signal after receiving the optical signal, forms a corresponding sideband, the adjustable feedback type array waveguide grating divides the spectrum of the optical signal into different wavelengths, and independently adjusts the amplitude and phase of the optical signals with different wavelengths, then the filtering module filters out the periodically repeated signals, and the photoelectric detector converts the filtered optical signal into an electrical signal, thereby completing the optical-electric conversion. The reconfigurable microwave photonic filter and the filtering method have the advantages of simple structure, highly programmable spectrum shape, fast reconfigurable response and high integration, and will have great attraction in the field of high-frequency signal processing. The application obtains: National Natural Science Foundation of China Youth Science Foundation Project (62204156).

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.

To enable spectrum shaping also when excess band is used, at least one set of spectral flatness requirements amongst two or more sets comprises at least at least a first parameter value for a first in-band range, at least a second parameter value for a second in-band range and at least a third parameter value for the excess band range, and a set to be used is selected at least based on information on the use of the excess band.

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 application discloses a fitting method for forward and reverse problems of a distributed fiber Raman amplifier based on a Kolmogorov-Arnold neural network (KAN), and belongs to the technical field of fiber Raman amplifiers. The method generates an ideal data set under the condition of second-order pumping by establishing a mathematical model of the distributed fiber Raman amplifier, and designs three different KAN structure models for different use scenarios, which are respectively used for forward single gain point, gain spectrum prediction and reverse pump parameter prediction. By optimizing the hyperparameters and network structure, the trained KAN model can realize efficient and accurate forward and reverse fitting. The method can simplify the network structure, greatly reduce the demand for computing resources, improve the nonlinear fitting capability, quickly adapt to the needs of different scenarios, combine the cascade of forward and reverse models, and can observe the gain spectrum shape corresponding to the reverse predicted pump parameter in real time, thereby significantly improving the design and performance evaluation efficiency of the distributed fiber Raman amplifier, and having important practical application value.

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.

The application discloses a kind of multi-mode constant pressure gas storage experimental equivalent simulation methods, containing leakage characteristic evaluation process, specifically: the closed loop sensitivity of system is spectrum shaping, and constructs sensitivity notch in target perturbation frequency band;Generate the perturbation signal satisfying mass-enthalpy-time first moment triple constraint, and after its anti-resonance spectrum pre-shaping, inject in notch frequency band, to obtain the system response data of high signal-to-noise ratio;Online estimation of structured leakage is carried out using mode-aware instrumental variable method, and the continuity of cross-mode estimation is guaranteed through bridging consistency mechanism.The application can obtain unbiased, continuous leakage estimate, and provides effective tool for accurate evaluation of constant pressure energy storage system.