1433 results about "Frequency spectrum" patented technology

Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and / or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

The invention discloses an inverter bus ripple active suppression method and system. The method comprises the following steps: collecting bus voltage and current, and extracting a broadband ripple frequency spectrum; inputting the broadband ripple frequency spectrum and the operation data of the inverter into a physical degradation model, and predicting the service life state of the electrolytic capacitor; a dynamic frequency tolerance threshold matrix is constructed through the predicted service life state of the electrolytic capacitor, and a sensitive frequency band of the electrolytic capacitor is identified; threat degree evaluation is carried out on each sensitive frequency band, and a frequency-varying virtual impedance network used for inverting a compensation voltage reference instruction is constructed according to an evaluation result; and according to the generated compensation voltage reference instruction, an inverter power switch tube is driven to generate corresponding compensation voltage. The system is used for implementing the method. The beneficial effects of the invention are that the ripple suppression is converted into a dynamic complementation problem between the capacitance physical impedance degradation amount and the inverter virtual impedance compensation amount, and the reliability and economical efficiency of an inverter system are greatly improved.

The application discloses a kind of arbitrary pulsating wind field active control wind tunnel physical simulation method and system, comprising: establishing generalized pulsating wind field spectrum model, it has 6 controllable pulsating wind spectrum in the energy distribution model parameter of frequency domain;Based on generalized pulsating wind field spectrum model, inter-spectrum matrix is calculated using coherence function;Based on harmonic superposition method, inter-spectrum matrix is converted into pulsating wind field space-time information;Pulsating wind field space-time information is introduced into the control program of active control wind tunnel, through real-time monitoring and iterative adjustment model parameter, until the target wind field generated reaches expectation.The application can simulate wind field with arbitrary frequency energy distribution by generalized pulsating wind field spectrum model with 6 model parameters, combined with iterative closed-loop control, significantly improve the simulation accuracy and adaptability of complex wind field such as mountain valley wind, typhoon.

The present application belongs to the field of magnetic nanoparticle measurement, and particularly relates to a high-sensitivity magnetic nanoparticle spectrometer and a waveform signal conversion method thereof, and aims to solve the problem that the dynamic magnetic characteristics of low-concentration magnetic nanoparticles cannot be quantitatively evaluated in the prior art. The present application comprises a driving module, a switching module, a current sampling module, a band-pass filtering module, a rectifying module, a current control module, a voltage adjustment module, a coil matching module, a coil assembly, a receiving coil signal processing module, a signal acquisition analog block, and a main control calculation module. According to the target current demand, the coil matching module can be flexibly edited, and further, the control signal for driving the coil can be automatically generated according to the matched driving circuit and the target waveform, wherein the data acquisition-processing link can restore the waveform and obtain the original spectrum of the magnetic particles through the built-in calculation steps. At the same time, the current compensation loop contained in the present application can compensate the current error caused by factors such as coil temperature rise, parameter drift of the matching module, and change of the on-resistance of the switching module, so as to ensure the constant output of the target harmonic current.

The application relates to the field of optical communication technology, and provides a four-level modulation receiving device and method based on double-polarization double-binary superposition, which comprises a transmitting module, a transmission link and a receiving module; the transmitting module is used for outputting a first binary baseband signal, outputting a first three-level double-binary electrical signal, outputting a second binary baseband signal, outputting a second three-level double-binary electrical signal, performing polarization orthogonal superposition on the first three-level double-binary electrical signal and the second three-level double-binary electrical signal, and outputting one superimposed optical signal; the transmission link is used for transmitting the one superimposed optical signal; and the receiving module is used for receiving the one superimposed optical signal and restoring the one superimposed optical signal into the first binary baseband signal and the second binary baseband signal. The application realizes effective unification of high dispersion tolerance and high spectral efficiency by superimposing two double-binary signals on orthogonal polarization states.

This application discloses a method and system for synchronous testing of metasurface grating waveguide performance, relating to the field of metasurface grating technology. The method includes polarization state modulation and spatial frequency encoding of multi-wavelength incident beams to obtain a modulated incident light field; coupling this modulated incident light field into the metasurface grating waveguide under test, which then undergoes total internal reflection to form the outgoing light field; acquiring a raw dataset of the entire light field, including Stokes polarization images and spatial spectrum images corresponding to each wavelength of the outgoing beam; calculating the total internal reflection hop count based on the Stokes polarization image; calculating the spatial step size offset based on the spatial spectrum image; and establishing a mapping relationship between the image pixel coordinates of the raw dataset and the internal physical regions of the metasurface grating waveguide under test to obtain local diffraction efficiency distribution data. This application solves the problem that traditional outgoing end intensity testing is difficult to trace to local defects inside the waveguide, achieving synchronous, high-precision quantitative characterization of local diffraction efficiency across multiple wavelengths.

The application discloses an anti-interference pulse laser frequency division multiplexing optical coding wireless communication system and method, provides an optical wireless communication system based on pulse laser, and realizes an anti-interference pulse laser frequency division multiplexing optical coding communication method. Relying on the convergence effect of the light collector, a stable and anti-interference system receiving end is realized, the anti-interference capability of the whole system is realized through a pulse laser source and a multi-channel light splitting module, the utilization rate of the spectrum in the system communication process is improved, and the pulse laser transmission of frequency division multiplexing is realized.

The application discloses a ground penetrating radar three-dimensional imaging display method and radar. The method comprises the following steps: making the antenna move at a constant speed in a straight line, and transmitting a pulse to the ground at each distance node; receiving the pulse reflected by the ground features to form a return signal; weighting and averaging a plurality of return signals of the same ground feature at the same distance node to form a new return signal; arranging the new return signal in time sequence to form a radar scanning data matrix; performing Fourier transform on the radar scanning data matrix to obtain a frequency spectrum; performing frequency domain filtering processing on the frequency spectrum; performing inverse Fourier transform on the filtered frequency spectrum to obtain a processed radar scanning data matrix; and synthesizing the processed radar scanning data matrix to obtain a three-dimensional display of the ground features, so that the return signal corresponding to the ground features is more prominent, the calculation amount of data filtering is greatly reduced, and the speed and accuracy of the three-dimensional imaging display are improved.

This invention relates to beam switching following a Listen-After-Speak (LBT) procedure. Apparatus, methods, and systems for performing beam switching after an LBT procedure are disclosed. One apparatus (500) includes a processor (505) and a transceiver (525) operable on unlicensed spectrum, wherein the transceiver (525) supports multiple device panels. The processor (505) performs (805) a first Listen-After-Speak (“LBT”) procedure using omnidirectional sensing to obtain a first Channel Occupancy Time (“COT”), and in response to a successful LBT, performs (810) a first uplink transmission of a first Transport Block (“TB”) during the first COT and using a first device panel. Here, the first uplink transmission uses a first portion of the first COT. The processor (505) performs (815) a directed LBT procedure for a second device panel to obtain the remainder of the first COT.

This invention discloses a method and system for multimodal vibration analysis and fault identification of a steam turbine rotor-blade, belonging to the field of steam turbine monitoring technology. It solves the problem that existing methods are unable to clearly locate and separate fault features through simple spectrum analysis. The method includes noise suppression preprocessing of multimodal vibration signals, modal feature extraction of multimodal preprocessed information based on a convolutional neural network model, and identification and analysis of high-dimensional feature state vectors based on a fault identification model. This invention can provide accurate physical guidance for multimodal monitoring and feature extraction of vibration signals through a coupled three-dimensional rotor-blade model. By using frequency band and adaptive threshold noise suppression preprocessing in the multimodal vibration signals, and by using a convolutional neural network model guided by the coupled three-dimensional model to extract modal features from the multimodal preprocessed information, early weak fault features can be clearly located and separated.

This invention provides an earphone control method and earphones that can improve the perceived auditory effect. [Solution] The method includes: collecting a first audio signal with a feedforward microphone and a second audio signal with a feedback microphone 202; determining the current scene type of the external scene in which the earphone is located based on the first audio signal and acquiring a target effect audio signal corresponding to the current scene type 204; determining current frequency spectrum relationship information between the first audio signal and the second audio signal, and target frequency spectrum relationship information between the first audio signal and the target effect audio signal 206; and repeatedly adjusting the filter parameters of the earphone based on the current frequency spectrum relationship information and the target frequency spectrum relationship information 208, wherein the error between the newly collected second audio signal and the target effect audio signal is smaller than a predetermined error.

Various embodiments comprise a wireless communication network configured to estimate wireless downlink speed. In some examples, the wireless communication network comprises data analysis circuitry. The data analysis circuitry receives a measurement report indicating received signal strength associated with a geographic location and a radio band. The data analysis circuitry converts the received signal strength for the radio band to a spectral efficiency for the radio band. The data analysis circuitry determines bandwidth for the radio band. The data analysis circuitry determines a spectral efficiency ratio for the radio band based on loading for the radio band and the geographic location. The data analysis circuitry estimates a downlink speed for the geographic location and the radio band based on the spectral efficiency ratio, the spectral efficiency, and the bandwidth.

This invention discloses a photovoltaic system islanding detection method and system based on Santlet transform and Ridglet probabilistic neural network. The method includes: collecting historical voltage data of the photovoltaic inverter, preprocessing it, and then sequentially acquiring the data to be analyzed using a sliding window; performing time-frequency analysis using Santlet continuous wavelet transform to obtain the corresponding time-frequency spectrum; extracting multi-dimensional time-frequency feature vectors and inputting them into a trained Ridglet probabilistic neural network classification model to obtain the corresponding probability values; if the probability value is greater than a probability threshold, it is determined that the photovoltaic system has experienced islanding, and a trip signal is generated and sent to the grid-connected circuit breaker to disconnect it. This invention significantly improves the accuracy, speed, and reliability of islanding detection, effectively reduces the detection blind zone, and has good adaptability to complex power grid environments.

This application relates to the fields of SAR signal processing and marine remote sensing applications, and provides a method and apparatus for sea surface current field inversion based on electromagnetic vortex wave radar data. The method determines the Doppler spectrum using electromagnetic vortex wave radar image data, obtains the measured frequency position of the trough feature point in the Doppler spectrum, and determines the theoretical frequency position using the position and angle of the two main lobes and the angle of the trough feature point in the radar antenna pattern. Then, the difference between the measured frequency position and the theoretical frequency position is used to obtain the anomalous frequency offset. Next, the Doppler frequency offset caused by wind and wave motion is removed from this anomalous frequency offset to obtain the target Doppler frequency offset. Finally, the radial velocity of the sea surface is calculated using the Doppler frequency offset, thus realizing sea surface current field inversion. This effectively expands the applicability of the Doppler frequency shift-based ocean current inversion method and improves the application potential of electromagnetic vortex wave radar in sea surface current field detection.

A method and a decoder for generating concealment audio frame of an audio signal. The method includes performing a frequency domain analysis of a sequence of previously decoded audio signal to obtain a frequency spectrum and identifying peaks in the spectrum. The method further includes estimating a relative energy between the noise spectrum and the complete spectrum, determining an attenuation of the noise spectrum based on the relative energy, and applying the attenuation to the noise spectrum. The method includes applying an inverse transform to time domain on an error concealment spectrum, that includes the peaks and the attenuated noise spectrum.

The present application relates to the technical field of wireless communication security, in particular to a radio frequency fingerprint identification method for wireless node identity authentication. The method solves the problems of weak radio frequency fingerprint characteristics in short frame wireless signals, insufficient discrimination ability of lightweight models, and difficulty in rigid alignment and distillation of heterogeneous teacher-student models. The method obtains training wireless signal samples with identity labels and converts them into time-frequency spectrum samples; inputs the time-frequency spectrum samples into a teacher recognition model and a student recognition model to obtain classification results and global features; projects the teacher global features and the student global features, generates a cross-dimensional correlation matrix according to the projection feature component correlation, and normalizes to obtain alignment-free attention weights; constructs an alignment-free feature distillation loss based on the weights, and jointly trains to obtain a lightweight radio frequency fingerprint identification model; the model is used to output the identity category of the wireless node to be verified during inference, which is used for wireless node access authentication and physical layer identity authentication.

This invention provides a method, system, and medium for crosstalk suppression and timing optimization in high-frequency circuits. A sensor array is deployed along the critical signal path to simultaneously acquire high-frequency crosstalk spectrum and timing eye diagram parameters, generating a crosstalk intensity matrix (CIM) and a timing margin heatmap (TMM) to achieve multi-dimensional quantitative characterization of signal integrity. Based on the CIM, the main interference source is located, and the impedance of the affected line is dynamically adjusted and a reverse compensation current is injected to cancel high-frequency crosstalk at its source. The margin attenuation is predicted using a pre-trained model, and the clock phase of the affected line is fine-tuned to compensate for timing deviations. The optimized efficiency index per unit energy consumption after compensation is calculated, triggering a dynamic update or re-compensation mechanism for the strategy library. This invention achieves dynamic synergy between crosstalk suppression and timing optimization based on a closed-loop architecture composed of monitoring data, neural network prediction, dual-loop compensation, energy efficiency verification, and strategy learning.

The application provides a near-trace residual multiple wave suppression method and system based on deep learning, and belongs to the field of oil and gas exploration and development. The near-trace residual multiple wave suppression method based on deep learning comprises steps 1) to 19). The application obtains a large amount of label data which is consistent with the near-trace data characteristics of the actual seismic trace set and does not contain multiple wave signals by performing AVO background trend correction, spectrum equalization processing, time-varying wavelet inversion and time-varying wavelet convolution processing on far-trace data in actual seismic data. Deep learning training is only performed in a water-containing background range, the influence of oil and gas on the AVO characteristics of the seismic trace set is avoided, and then a deep neural network for suppressing multiple waves can be more accurately constructed, the near-trace residual multiple wave suppression effect can be improved, and reliable trace set data can be provided for subsequent AVO analysis and pre-stack reservoir prediction.

The application discloses a motor imagery electroencephalogram signal denoising method and device, medium and product, relates to the technical field of deep learning and biomedical signal processing, and the method comprises the following steps: acquiring a target electroencephalogram signal containing artifacts; inputting the target electroencephalogram signal containing artifacts into a trained electroencephalogram denoising model to obtain a final denoised electroencephalogram signal; wherein the electroencephalogram denoising model comprises an electroencephalogram denoising branch, an artifact prediction branch and an artifact representation interaction attention fusion reconstruction module; the electroencephalogram denoising branch comprises a multi-scale self-adaptive enhancement module, a frequency domain dynamic enhancement module and a feature extraction module. The application solves the problems of traditional electroencephalogram denoising methods in signal fidelity, spectral fidelity, spatial structure preservation and generalization ability.

The application discloses a valve micro-leakage detection method and device based on acoustic response analysis. The method comprises the following steps: applying an active acoustic excitation signal to a valve in a sealed state; synchronously collecting acoustic wave response signals generated by excitation through multiple acoustic sensors; extracting acoustic characteristic parameters such as amplitude variation, phase variation and spectral energy; comparing with a no-leakage reference sound field model to determine micro-leakage. The leakage source is located by using a beam forming algorithm, and a characteristic vector composed of amplitude variation, phase variation, spectral energy, MFCC and kurtosis is constructed, which is input into a convolutional neural network model to identify leakage causes such as sealing surface wear, sealing pad damage or micro-cracks. The detection system of the application comprises an excitation control module, a collection module, a processing module and a judgment module. The method does not require a water bath, has high sensitivity and is suitable for automatic production detection.

The application relates to the technical field of electronic information security, and discloses a medium-frequency processing module cooperative detection system based on power modulation, which comprises a signal acquisition layer, a network transmission layer and an analysis processing layer. The signal acquisition layer realizes full-band electromagnetic signal acquisition, power spectrum reconstruction and interference suppression; the network transmission layer realizes multi-node data synchronization and cross-space cooperative interaction; and the analysis processing layer is based on a multi-dimensional mapping electromagnetic signal feature model and an integrated learning algorithm to complete abnormal signal positioning, multi-source interference suppression and wireless transmission behavior discrimination. Through the cooperation of multiple layers of technology, the system solves the problems of low detection precision and insufficient anti-interference capability of the medium-frequency processing module in a complex electromagnetic environment, has the advantages of full-band coverage, real-time cooperative processing, intelligent analysis and decision-making, and can be widely applied to the field of information security protection to improve the detection and suppression capability of radio frequency transmission and reception behavior.

The application discloses a nonlinear Fourier reweighting image resolution enhancement method and system without a point spread function. The method comprises the following steps: acquiring an original digital image; performing Fourier transform on the original digital image to separate an amplitude spectrum and a phase spectrum; constructing a nonlinear mapping function with two adjustable parameters, and performing reweighting processing on the amplitude spectrum by using the function to balance high and low frequency energy of the amplitude spectrum and generate a new amplitude spectrum; recombining the new amplitude spectrum and the original phase spectrum; and performing inverse Fourier transform on the combined spectrum to output a resolution enhanced image. The application does not depend on PSF measurement or estimation, only needs one Fourier transform process, and has high calculation efficiency. The core construction is to directly reweight the amplitude in the frequency domain by using a specific nonlinear function, so that the ill-conditioned problem and artifacts of a traditional deconvolution algorithm are avoided. The application can be widely applied to optical fluorescence microscopy, astronomical imaging and clear processing of general digital images.

This invention discloses a method and apparatus for stable control of UAV swarm formation based on multidimensional transitions, relating to the field of UAV cooperative formation technology. The method includes: upon entering an intelligent communication resilience assurance decision mode, generating action strategies and action values ​​based on the CHZ-search algorithm and current electromagnetic environment state parameters to obtain the optimal frequency hopping basic strategy; utilizing the SD-DDV network and an improved IDEB-AS algorithm to obtain the final double-transition frequency hopping pattern; establishing a multidimensional dynamic spectrum transition communication link; acquiring UAV state information for correction and compensation; and using a formation control law to achieve real-time state estimation and continuous stable control of the UAV formation. This invention can significantly establish a resilient communication link, compensate for communication delays, and perform formation control even when channel quality deteriorates, bit error rate increases, or specific interference characteristics are received, while avoiding flip-transition problems.

This application provides a communication method and apparatus that can improve spectrum efficiency. The method includes: receiving first information, the first information indicating L in a first polarization among M ports. R There are 1 port, M is an integer greater than 1, and L is a port. R The value is a positive integer; the first channel state information (CSI) is transmitted, which corresponds to L ports on the first polarization out of M ports. The L ports include L... R There are 1 port, where L is greater than or equal to L. R .

The application discloses a song tone matching method and system based on audio spectrum analysis, and relates to the technical field of data processing.The method comprises the following steps: obtaining original singing audio and user audio, obtaining song sentences, obtaining first matching frequency spectrum segments corresponding to the song sentences, and obtaining second matching frequency spectrum segments corresponding to the song sentences; obtaining first frequency spectrum peak points, dividing the first matching frequency spectrum segments into first front frequency spectrum segments and first rear frequency spectrum segments, obtaining second frequency spectrum peak points, dividing the second matching frequency spectrum segments into second front frequency spectrum segments and second rear frequency spectrum segments; obtaining front frequency spectrum difference values, obtaining rear frequency spectrum difference values, and judging whether the front frequency spectrum difference values and the rear frequency spectrum difference values are smaller than a preset threshold value; if not, generating target front frequency spectrum segments and target rear frequency spectrum segments, constructing target sentence audio according to the target front frequency spectrum segments and the target rear frequency spectrum segments, and obtaining matching audio according to the target sentence audio.The application has the advantages of good song tone matching effect, rhythm deviation repair, original singing style reservation and user tone matching effect.

The application discloses a kind of wideband signal-oriented distributed movable antenna layout optimization method, comprising: based on swarm intelligence algorithm, antenna layout scheme is iteratively optimized until reaching iteration stop condition, the best fitness of population corresponding antenna layout scheme is regarded as the optimal scheme of antenna layout output;Wherein, the fitness of population is determined according to the wideband cumulative Cramer-Rao bound of its corresponding antenna layout scheme.The present application can directly construct the bottom mapping relationship between continuous position variable and wideband signal direction finding error lower limit by introducing wideband Cramer-Rao bound as fitness function.Because the index itself represents the theoretical minimum direction finding error of antenna layout, it can accurately quantify the spatial spectrum coupling effect of full frequency band;As fitness function, it can make the optimization directly towards the most essential optimization goal, ensure that the output physical array theoretically approximates the wideband direction finding physical limit under this degree of freedom.

The invention relates to a method for detecting objects in a multidimensional radar spectrum, in which object hypotheses are formed on the basis of the signal distribution (10) in the spectrum, the object hypotheses are checked for plausibility on the basis of a number of predefined criteria and selected reflection points (16, 18) belonging to the plausibility-checked objects are represented in a point cloud, characterised in that the object hypotheses comprise hypotheses for extended objects for which the signal distribution in the spectrum extends over a plurality of adjacent bins (12), and in that, in order to check the plausibility of these objects, the signal distributions (10) in the spectrum are compared with stored model distributions for standard objects.

The application discloses an audio fingerprint identification method and device, a terminal device and a storage medium. The audio fingerprint identification method comprises the following steps: acquiring full audio data; performing frame transformation on the full audio data to obtain each frequency spectrum data after frame division; selecting two-dimensional frequency band data meeting a preset target frequency threshold from the frequency spectrum data; performing dimension reduction on the frequency band data to obtain one-dimensional audio fingerprints of the full audio data; and performing audio fingerprint identification based on a local sensitive hash calculation improved Philips audio fingerprint identification method, that is, selecting the full audio data to obtain corresponding frequency spectrum data, selecting frequency band data meeting a preset frequency, and then performing dimension reduction on the frequency band data to obtain audio fingerprints, so that the technical problems of low accuracy and large data volume of audio fingerprint identification can be solved, the accuracy of audio fingerprint identification is improved, the data volume of the audio fingerprint is reduced, and the audio fingerprint identification method can be effectively used in the fields of audio fingerprint storage and audio retrieval deduplication.