27 results about "Waveform coding" patented technology

The invention discloses a data full-link dynamic anti-interference optimization transmission method. The method comprises the following steps: S1, constructing a data transmission system architecture comprising a sending end, a transmission link and a receiving end; the sending end detects environment disturbance characteristics in real time, and the receiving end collects receiving signals containing background noise and link distortion; s2, designing a self-adaptive waveform coding strategy at a sending end; s3, performing active channel compensation on a transmission link; channel characteristics are extracted, and channel interference is counteracted in real time through pre-distortion waveform adjustment; s4, deploying an intelligent noise reduction decoding algorithm at a receiving end; a depth feature separation network is constructed, and link residual interference is filtered out by analyzing the time-frequency domain difference between a target signal and a noise component. Through a three-level anti-interference mechanism of adaptive coding of the sending end, active compensation of a transmission link and intelligent noise reduction of the receiving end, the problem that the transmission reliability of signals is reduced due to environment disturbance, channel distortion and noise pollution in a complex environment is solved.

The invention, which relates to the technical field of radar anti-interference algorithm optimization, discloses a radar anti-interference algorithm optimization platform comprising an environment sensing module, an interference classification module, a dynamic filtering module, a waveform optimization module, an array processing module and an efficiency feedback module. The environment sensing module is used for carrying out multi-dimensional sampling on radar receiving signals by adopting a broadband digital channelization technology to obtain original electromagnetic environment data; the interference classification module is used for analyzing the original electromagnetic environment data by adopting a deep convolutional neural network to obtain a feature parameter set; the dynamic filtering module is used for carrying out adaptive processing on the characteristic parameter set by adopting an improved RLS-NLMS hybrid algorithm to obtain a baseband signal; the waveform optimization module is used for carrying out waveform parameter inversion on the baseband signal by adopting a genetic algorithm to obtain a waveform code; and the array processing module is used for performing spatial domain synthesis on the waveform codes by adopting a distributed MVDR algorithm to obtain an anti-interference beam forming weight.

The present invention discloses a method for realizing low power consumption of an airborne radiosonde in a secondary wind sounding radar. In this method, the ground radar measures the distance between itself and the airborne radiosonde, calculates the receiving channel gain of the airborne radiosonde, and controls the receiving channel gain of the airborne radiosonde by sending instructions to the radiosonde; the ground radar measures the distance between itself and the airborne radiosonde, adjusts the working mode of the ground radar and the code rate of the radar detection waveform code, and controls the code rate of the response waveform of the airborne radiosonde by sending instructions to the airborne radiosonde; the ground radar controls the sleep duration of the airborne radiosonde by sending instructions to the airborne radiosonde; the airborne radiosonde controls the working state of the radiosonde according to the working timing, and respectively controls the functional modules of the receiving channel and the transmitting channel to work in a time-sharing manner according to the current working state. Compared with the prior art, the present invention reduces the power consumption of the radiosonde, which is beneficial to extending the working duration of the radiosonde.

The invention provides an arbitrary waveform coding excitation system and method suitable for an ultrasonic tomography system. The upper computer is configured according to the target coding waveform and the condition of a channel participating in transmitting and receiving, transmits configuration information to the control processing module, and processes the echo signal to obtain an ultrasonic cross-sectional image; the transmitting and receiving module generates a target coding waveform signal according to the control signal, amplifies the target coding waveform signal, excites the ultrasonic probe array element to transmit ultrasonic waves, receives an echo signal and transmits the echo signal to the control processing module; the control processing module is used for converting the configuration information into a control signal, transmitting the control signal to the transmitting and receiving module and the power management module, carrying out filtering and analog-to-digital conversion on an echo signal, and transmitting the echo signal to the upper computer; the power management module is connected with an external power supply and used for supplying power to the transmitting and receiving module and the control processing module. According to the invention, the problem of energy attenuation of ultrasound in deep tissues can be overcome, and the signal-to-noise ratio and the contrast ratio of an image are improved.

Described herein is a method of waveform decoding, the method including the steps of:(a) receiving, by a waveform decoder, a bitstream including a finite bitrate representation of a source signal;(b) waveform decoding the finite bitrate representation of the source signal to obtain a waveform approximation of the source signal;(c) providing the waveform approximation of the source signal to a generative model that implements a probability density function, to obtain a probability distribution for a reconstructed signal of the source signal; and(d) generating the reconstructed signal of the source signal based on the probability distribution.Described are further a method and system for waveform coding and a method of training a generative model.

The invention discloses a millimeter wave radar performance optimization method and system, and belongs to the technical field of radars, and the method comprises the steps: optimizing a filter circuit: designing a high-gain multi-stage band-pass filter circuit which is used for enhancing a 24 GHz frequency band signal and suppressing out-of-band noise; according to the cascade multi-input multi-output array antenna, a virtual array aperture is expanded through orthogonal waveform coding; and optimizing a signal processing method: developing an adaptive edge constant false alarm rate algorithm, introducing an edge detection operator to dynamically adjust a detection threshold, and reducing the false alarm rate through dynamic noise estimation and multi-stage target verification. According to the method, hardware design, array optimization and algorithm innovation of the millimeter-wave radar are covered, and the technical bottleneck of the millimeter-wave radar is systematically solved through a cross-layer optimization strategy.

There is provided methods and apparatuses for decoding and encoding of audio signals. In particular, a method for decoding includes receiving a waveform-coded signal having a spectral content corresponding to a subset of the frequency range above a cross-over frequency. The waveform-coded signal is interleaved with a parametric high frequency reconstruction of the audio signal above the cross-over frequency. In this way an improved reconstruction of the high frequency bands of the audio signal is achieved.

There is provided methods and apparatuses for decoding and encoding of audio signals. In particular, a method for decoding includes receiving a waveform-coded signal having a spectral content corresponding to a subset of the frequency range above a cross-over frequency. The waveform-coded signal is interleaved with a parametric high frequency reconstruction of the audio signal above the cross-over frequency. In this way an improved reconstruction of the high frequency bands of the audio signal is achieved.

The invention relates to the technical field of insulation monitoring, in particular to an on-line insulation monitoring method for a 380V low-voltage motor, which comprises the following steps: acquiring a current response curve, extracting a peak value and an amplitude difference, screening a stable interval, extracting a voltage switching point and a current guide point, calculating displacement, outputting a pairing list, extracting multi-source data, comparing change and generating a transfer track, and calculating a data intersection output waveform code, analyzing a ratio, judging a fluctuation recording path, and outputting a monitoring result. According to the method, a high-confidence screening standard is constructed by extracting stable current peak and amplitude difference features, the synchronous recognition capability is enhanced by combining time displacement analysis of voltage and current guide change points, multi-source thermoelectric indexes are introduced to carry out continuous period comparison to construct a dynamic behavior track, and a complete response fragment is screened by using a multi-dimensional intersection. Fluctuation path tracking and abnormal offset recording are realized through ratio calculation, and the recognition precision and trend judgment capability of weak change of the insulation state are improved.

The application belongs to the technical field of laser radar, and discloses a laser driver circuit, method, system and electronic equipment under variable modulation depth. The circuit comprises a low-speed precision digital-to-analog converter for detecting a modulation depth mode and generating a corresponding analog setting signal; a high-speed digital-to-analog converter, an input end of which receives a full-range digital waveform code stream and dynamically configures a full-range output current according to the analog setting signal; and a transimpedance conversion circuit, a transimpedance resistance value of which is fixedly set and used for converting a modulation current signal into a voltage signal to drive a subsequent laser. When switching to a smaller modulation depth mode, the analog setting signal is reduced to reduce the full-range output current, and the high-speed digital-to-analog converter receives the full-range digital code stream. The application can reduce the driving amplitude, suppress the analog current noise of the voltage drop source, stabilize the quantization accuracy, eliminate the double penalty effect, and improve the beat signal quality under the small modulation depth mode.

The invention discloses a lost tag searching method and device, first equipment, second equipment and a storage medium. The method comprises the following steps: allocating a first waveform code to second equipment in at least one first group; the second equipment comprises a label; the first waveform code comprises an identification code; sending first request information to the second equipment; the first request information carries a first identifier of the first group; receiving a first waveform sequence sent by a second device in the first group; the first waveform sequence is determined based on the first identifier and the first waveform code; and identifying the first waveform sequence, and determining whether the tag is lost or not.

The invention relates to a method and system for waveform encoding an audio signal using a generative model. Described herein is a waveform decoding method comprising the steps of: (a) receiving, by a waveform decoder, a bitstream comprising a limited bitrate representation of a source signal; (b) waveform decoding the limited bit rate representation of the source signal to obtain a waveform approximation of the source signal; (c) providing the waveform approximation of the source signal to a generative model implementing a probability density function to obtain a probability distribution of a reconstructed signal of the source signal; and (d) generating a reconstructed signal of the source signal based on the probability distribution. A method and system for waveform encoding and a method of training a generative model are further described.

The invention discloses a generator non-inductive access grid connection method and system, and relates to the technical field of intelligent non-inductive grid connection, and the method comprises the steps: comparing a membrane potential value with an activation threshold value, carrying out the multi-dimensional state evolution through a quantum tunneling probability regulation and control mechanism, and generating a grid connection triggering instruction signal; carrying out mechanical vibration waveform coding on the grid-connected trigger instruction signal by adopting a stress wave carrier mechanism, and transmitting the coded signal to a grid-connected circuit breaker through a low-voltage non-inductive conversion box to obtain an instruction confirmation signal and an execution time delay parameter; generating a frequency synchronous compensation parameter and a transient suppression strategy through a magnetic flux vortex adaptive optimization algorithm based on the instruction confirmation signal and the execution time delay parameter in combination with the frequency-phase collaborative deviation value of the power grid frequency and the generator frequency; according to the invention, a biological neuron pulse control model is combined with a quantum tunneling probability regulation and control mechanism, so that efficient conversion from a mechanical vibration signal to an intelligent control instruction is realized.

The application discloses a kind of bionic concealed underwater acoustic communication detection integrated method.Existing method does not consider the concealment of communication and detection jointly.The method of the present application first extracts click sound signal and whistle signal, and carries out power and correlation screening;Then the original click sound signal is waveform encoded and pulse position modulated, and the original whistle signal is time-frequency shape encoded and waveform parameter modulated.Using the good detection performance of bionic modulated signal, generate bionic communication detection integrated signal.In echo signal receiving end, different echo signal processing method is used.In communication receiving end, combined demodulation method is used.The bionic whistle signal generated by the present application has high similarity with the original signal in time domain, and the time-frequency profile is continuous.The present application can improve the communication rate by sampling combined modulation, has good concealment, not only can realize the accurate estimation of target distance, speed and azimuth, but also has good communication performance.

Described herein is a method of waveform decoding, the method including the steps of: (a) receiving, by a waveform decoder, a bitstream including a finite bitrate representation of a source signal; (b) waveform decoding the finite bitrate representation of the source signal to obtain a waveform approximation of the source signal; (c) providing the waveform approximation of the source signal to a generative model that implements a probability density function, to obtain a probability distribution for a reconstructed signal of the source signal; and (d) generating the reconstructed signal of the source signal based on the probability distribution. Described are further a method and system for waveform coding and a method of training a generative model.

The application discloses an integrated control module, an IO interface circuit and a controller, wherein the integrated control module is configured to build a closed-loop control system in an analog domain, convert an electrical signal input by an IO interface into an analog input waveform by using a waveform encoder, synthesize the analog input waveform into a periodic time-division multiplexing analog input signal wave by using an input waveform multiplexer driven by a time sequence controller, generate an isomorphic analog setting signal wave by setting a waveform generator, directly analog subtract two waveforms by using a differential amplifier to obtain an analog differential signal wave, separate the analog differential signal wave into independent pulse error signals of each channel by using a synchronous demodulation and distribution unit in combination with a sample and hold circuit, and finally generate a driving signal by an analog PID controller. The application solves the problems of the synchronism and the integration of multi-loop control by using a unique analog domain time-division multiplexing and demodulation architecture, and provides a new hardware solution for high-performance real-time control.

A waveform decoding method is described herein, comprising the steps of: (a) receiving, by a waveform decoder, a bitstream comprising a finite bit rate representation of a source signal; (b) waveform decoding the finite bit rate representation of the source signal to obtain a waveform approximation of the source signal; (c) providing the waveform approximation of the source signal to a generative model implementing a probability density function to obtain a probability distribution of a reconstructed signal of the source signal; and (d) generating a reconstructed signal of the source signal based on the probability distribution. A method and system for waveform coding and a method for training the generative model are further described.

To provide methods and apparatuses for decoding and encoding of audio signals.SOLUTION: In particular, a method for decoding includes receiving a waveform-coded signal having a spectral content corresponding to a certain subset of a frequency range above a cross-over frequency. The waveform-coded signal is interleaved with a parametric high frequency reconstruction of the audio signal above the cross-over frequency. In this way, an improved reconstruction of the high frequency bands of the audio signal is achieved.SELECTED DRAWING: Figure 1

The present invention discloses a communication waveform design method, which builds a high-efficiency spectrum efficiency and low bit error rate communication system transmission model based on time domain overlapping multiplexing waveform coding technology, improves spectrum efficiency with limited spectrum resources, and can effectively increase communication rate, reduce bit error rate, and realize efficient and secure transmission of communication.

The invention discloses an anti-interference laser radar system and method based on waveform coding and adaptive signal processing, and the system comprises a control and signal processing unit which is used for coordinating the work of the whole system, generating a coding sequence, and dynamically adjusting a coding strategy and filtering parameters according to environment feedback; the control and signal processing unit is electrically connected with the transmitting link and the receiving link; the transmitting link comprises a laser transmitting module, a programmable waveform coding modulator and a light beam shaping and scanning system which are sequentially arranged in the light path direction. The receiving link comprises a receiving optical module and a photoelectric detector which are sequentially arranged in the light path direction, and compared with the prior art, by combining waveform coding with matched filtering, extremely high processing gain and anti-jamming capability are obtained; by endowing the effective signal with the coding feature, the effective signal has uniqueness, so that co-frequency crosstalk caused by other laser radars can be suppressed, and distributed backscattering noise can be effectively filtered out.

The invention relates to the technical field of integrated circuits, in particular to a waveform compression method, a unit delay training method and a storage medium. The waveform compression method comprises the following steps: providing a simulation circuit, and obtaining voltage waveform data based on the simulation circuit; performing normalization processing on the voltage waveform data to obtain standard voltage waveform data; establishing a plurality of initial auto-encoders, wherein the number of coding parameters of the intermediate layer of each initial auto-encoder is different; performing compression training on the initial auto-encoder based on the standard voltage waveform data to obtain an auto-encoder; and an auto-encoder is used to encode an input waveform into a small number of parameters to participate in the training of the deep learning network. The problem that existing unit delay estimation is low in precision is solved.

A method for decoding an encoded audio bitstream in an audio processing system is disclosed. The method includes extracting from the encoded audio bitstream a first waveform-coded signal comprising spectral coefficients corresponding to frequencies up to a first cross-over frequency for a time frame and performing parametric decoding at a second cross-over frequency for the time frame to generate a reconstructed signal. The second cross-over frequency is above the first cross-over frequency and the parametric decoding uses reconstruction parameters derived from the encoded audio bitstream to generate the reconstructed signal. The method also includes extracting from the encoded audio bitstream a second waveform-coded signal comprising spectral coefficients corresponding to a subset of frequencies above the first cross-over frequency for the time frame and interleaving the second waveform-coded signal with the reconstructed signal to produce an interleaved signal for the time frame.

The application discloses a slow-time waveform coding-based anti-interference method and system for vehicle-mounted millimeter wave radar, belongs to the technical field of vehicle-mounted millimeter wave radar, and comprises a pseudo-random number generator module, a modulation module, a transmitting module, a receiving module, a sampling module, a data processing module and a post-processing module.Three modulation methods dependent on three independent pseudo-random sequences are proposed, which are equivalent to random phase modulation of the transmitting signal, and the modulation is realized through a waveform, so that the waveform modulation interface provided by each platform can be utilized, and the technology is simple to realize;flexible combined waveforms can be realized, good adaptability to various observation scenes is achieved, the proposed anti-interference method does not need to detect interference signals, is suitable for various interference conditions, and therefore does not need to add a module for detecting interference signals in the original signal processing flow, and the existing similar signal processing flow can be reused to the greatest extent.

The invention relates to the technical field of radars, in particular to an MIMO radar amplitude-phase response optimization waveform design method, which comprises the steps of obtaining a waveform coding matrix based on waveform codes of a plurality of transmitting channels of an initialized MIMO radar; constructing a comprehensive optimization objective function based on the waveform coding matrix; based on the comprehensive optimization objective function, performing iterative traversal optimization on each waveform code of the plurality of transmitting channels, and gradually updating each waveform code in each iteration so as to reduce the function value of the comprehensive optimization objective function; and when the optimization process meets a preset convergence condition, stopping iteration, and determining the current optimized waveform code as the transmitted waveform of the MIMO radar. According to the method, the high-resolution spectrum estimation performance and the anti-interference capability of the MIMO radar on the target can be remarkably improved.

Described herein is a method of waveform decoding, the method including the steps of: (a) receiving, by a waveform decoder, a bitstream including a finite bitrate representation of a source signal; (b) waveform decoding the finite bitrate representation of the source signal to obtain a waveform approximation of the source signal; (c) providing the waveform approximation of the source signal to a generative model that implements a probability density function, to obtain a probability distribution for a reconstructed signal of the source signal; and (d) generating the reconstructed signal of the source signal based on the probability distribution. Described are further a method and system for waveform coding and a method of training a generative model.

A system for covert sensing and communications encodes a broadband light source using quantum entanglement-assisted waveform coding to spread a narrow-band signal over frequency. The light source generates broadband light and from that pairs of entangled photons that form a reference and a signal at different wavelengths. The signal is modulated and transmitted to illuminate a target. A phase conjugator mixes the reference with the broadband light to shift the reference to the same wavelength as the signal and performs a phase conjugation to output a phase conjugated reference as a local oscillator. An optical delay time delays the local oscillator to approximately match a time-of flight delay to the target and back. Light reflected from the target is combined with the local oscillator, detected using direct detection heterodyne, homodyne or quasi-homodyne techniques, demodulated and decoded to recover the narrow-band signal and estimate the phase of the reflected light relative to the transmitted light to provide fine range estimates for the target and a covert communications channel.