29 results about "Asynchronous sampling" patented technology

The invention belongs to the technical field of communication, and discloses an elastic asynchronous sampling control method for resisting denial of service attack in a networked system, which adopts elastic asynchronous sampling data control to realize quick recovery and stability of the networked system after DoS attack and improvement of robustness. And during normal operation of the system, continuously monitoring and recording state data of the networked system based on an asynchronous sampling strategy. And after the DoS attack is finished, a preset asynchronous sampling mechanism is triggered immediately, state information is updated quickly, and a control instruction is calculated again, so that the dynamic response and performance of the networked system are recovered. According to the method, an asynchronous sampling mechanism, discontinuous interval dependency functional analysis and a switching stability theory method are organically combined, the rapid communication recovery capability of a networked system after the networked system is attacked by DoS is cooperatively realized, the stability and robustness of the system are remarkably enhanced, and the method is particularly suitable for application scenes with high security requirements.

A Global Navigation Satellite System (GNSS) receiver for processing GNSS satellite signals use a quasi-asynchronous sampling frequency grid to process the received signals. The GNSS receiver includes a plurality of RF paths configured to receive Global Navigation Satellite System (GNSS) signals from an antenna and transmit the GNSS signals in a frequency range for digitizing the GNSS signals. A phase-locked loop is configured to generate a clock signal and a plurality of clock dividers are configured to receive the clock signal and divide the clock signal. Each of a plurality of navigation systems receive a clock signal from one of the plurality of clock dividers.

The invention discloses a numerical simulation method for a heat-fluid-solid multi-field coupling response characteristic, which relates to the technical field of mechanics and engineering simulation and comprises the following steps of: constructing an asynchronous sampling array, performing joint time-frequency acquisition on a periodic pressure pulsation signal of a fluid and a dynamic response signal of a solid structure, extracting a coupling phase fingerprint baseline, and calculating the coupling phase fingerprint baseline. As a unified reference for energy analysis; and performing coherent decomposition based on the coupling phase fingerprint baseline, calculating a phase-locked energy index, identifying an instantaneous resonance window in a dynamic evolution process, and determining a dangerous frequency band and an interface fragile area. According to the method, unified reference of heat-fluid-solid response data is realized by constructing a coupling phase fingerprint baseline; predicting a crack initiation threshold in combination with anti-fact playback and a risk cone; extracting a minimum disturbance set to construct an energy dissipation channel; time reversal micropulses are applied to cooperate with phonon band gaps and shadows for energy storage, phase lock release and vibration extinguishing control are completed, and closed-loop regulation and control of structure safety are achieved.

This invention discloses a distributed optimization state estimation method for asynchronous sampling rates under stochastic topology. The method is as follows: 1. Establish an asynchronous sampling rate time-varying nonlinear dynamic model with different system state update rates and measurement sampling rates; 2. Transform the dynamic model into a single-rate time-varying nonlinear dynamic model; 3. Design a state estimator under stochastic topology; 4. Calculate the state estimator at q... k The gain matrix K of the estimator at time step i (q k ) and G i (q k ); V. K i (q k ) and G i (q k Substituting this into the estimator, we obtain q. k+1 VI. Calculate the upper bound of the one-step prediction error covariance matrix; VII. [The text abruptly ends here, likely due to an incomplete sentence or missing information.] i (q k ) and G i (q k Substitute the upper bound of the one-step prediction error covariance matrix into the formula to calculate q. k+1 The minimum upper bound of the one-step prediction error covariance matrix at time step q; let q k =q k+1 Execute step three until q is satisfied. k+1 =K. This invention solves the problem that existing state estimation methods cannot simultaneously handle distributed optimization state estimation problems with stochastic nonlinearity and asynchronous sampling rates under stochastic topologies.

The invention provides a piezoelectric ceramic-based double-optical-comb-cavity modulated gas measurement system and method, a double-optical-comb output module is utilized to generate a detection optical comb and a reference optical comb which are coherent, the detection optical comb enters a resonant cavity to interact with gas to be measured, and the reference optical comb directly reaches a data acquisition and analysis module; the piezoelectric ceramic modulation module dynamically adjusts the length of the resonant cavity by applying a periodic voltage signal; and the data acquisition and analysis module demodulates spectral data of the to-be-detected gas through an asynchronous sampling technology based on double optical comb interference signals of the reference optical comb and the detection optical comb. According to the dual-optical-comb-cavity modulated gas measurement system based on the piezoelectric ceramics, the piezoelectric ceramic modulation module is used for dynamically adjusting the length of the resonant cavity according to the detection optical comb and the reference optical comb, dynamic modulation and transient coupling optimization of the cavity length are achieved, and the problems that in the prior art, the dispersion effect of gas can affect optical signal propagation, and the measurement precision is poor are solved. And non-linear modulation occurs in the ring-down process, so that the measurement precision is influenced.

This invention discloses a method and system for resampling time-domain data of electromechanical-electromagnetic simulations while preserving time-frequency domain features. It includes: constructing electromechanical and electromagnetic transient time-series trajectory samples of a new energy power grid system; processing the trajectory samples separately using an improved Proni method to obtain frequency domain response features; reconstructing the electromechanical and electromagnetic transient time-series trajectories separately using linear interpolation and adaptive resampling techniques based on the frequency domain response features; and fusing the time-domain and frequency-domain features in the reconstructed time-series trajectory data to form a comprehensive feature vector, thereby obtaining electromechanical-electromagnetic simulation time-domain data that preserves time-frequency domain features. This invention solves the asynchronous sampling problem of electromechanical-electromagnetic time-domain simulation data and can be used to support the feature analysis of inconsistent data at different time scales in electromechanical and electromagnetic systems. It has broad application prospects and significant practical implications in fields such as scheduling and control of new energy power grids.

The invention discloses an anti-attack distributed estimation method under a dynamic memory triggering and asynchronous sampling mechanism, and belongs to the technical field of signal processing and control engineering. The method comprises the following steps: establishing a random nonlinear system dynamic model based on an asynchronous sampling mechanism and converting the random nonlinear system dynamic model into a synchronous sampling random nonlinear system dynamic model; designing an anti-attack distributed estimator; calculating an upper bound of an estimation error covariance; deriving a gain matrix; and substituting the gain matrix into an estimator to obtain a distributed estimator at a corresponding moment, and judging whether the total duration is reached or not. According to the method, effective estimation of the random nonlinear system state is realized, the technical bottleneck of a traditional method in the aspects of triggering mechanism, asynchronous sampling and attack behavior joint modeling is effectively solved, the real-time processing capability and the system robustness of state estimation are improved, and the stability and the anti-interference performance of estimation precision in a complex engineering scene are ensured.

This invention discloses a multi-oscillator true random number generator based on independent auxiliary TRNG control. It is characterized by comprising a main TRNG module and an auxiliary TRNG module. The main TRNG module provides a true random number sequence TR via an internal bus. The main TRNG module includes a random signal generation module, an asynchronous sampling circuit, and a post-processing circuit. The random signal generation module includes N ring oscillators RO_i, each RO_i having an independent enable terminal EN_i, i=0~N-1. The auxiliary TRNG module is a complete TRNG, outputting an M-bit auxiliary random number sequence F[M-1:0], where M>N≥2. The lower N bits of the auxiliary TRNG module's output F[N-1:0] are directly connected one-to-one to the enable terminal EN_i of the corresponding RO_i in the main TRNG module without any synchronization circuit, achieving EN_i=F[i], where F[i] corresponds to the i-th bit in F[N-1:0]. This invention can improve the entropy quality and attack resistance of the overall system.

The present invention discloses a multi-rate asynchronous sampling control method for a deep-sea robot's drive motor. The method includes the following steps: configuring the basic electrical and mechanical parameters of a motor system with multiple independent partitions; constructing a parameter matrix and achieving control signal decoupling through structural decomposition; setting a base sampling period and configuring differentiated sampling periods that are integer multiples of the base sampling period for each partition to discretize the control signal; constructing a selection matrix to determine the control signal sequence under multi-rate sampling; discretizing the parameter matrix and solving the feedback control gain matrix; constructing an autonomous system to describe the speed tracking signal and solving the feedforward control gain matrix; and finally, calculating discrete control voltages based on the real-time detected armature current according to the multi-rate period to drive the motor. This multi-rate asynchronous sampling strategy effectively matches the dynamic characteristics of different partitions with the control requirements, significantly improving motor control efficiency and responsiveness in deep-sea environments.

This invention is related to the method providing computation of the signal frequency components in an acceptable accuracy in contravention of the shifts in the phase and the magnitude information caused by asynchronous sampling of the signals in the process of asynchronous sampling of metal detectors wherein the received signal by the receiver unit (4) divided into time intervals, say timing values those are far shorter than the sampling period and correspond to nearest probable sampling of the ADC (6); providing the computation of the sine and cosine coefficients or exponents of time constant coefficients of the said timing value from previously located or dynamically generated coefficient table; resulting the elimination of the requirement of synchronous sampling and the requirement of the signal period is multiple of the sampling period.

The invention belongs to the technical field of monitoring instruments, and particularly relates to a nonlinear load monitoring method and device. The method comprises the following steps: acquiring a preprocessed sampling value signal parameter; calculating a sampling value signal parameter by adopting a zero-crossing method to obtain a power grid fundamental frequency; determining the number of sampling points of Fourier transform according to the fundamental frequency of the power grid, and establishing an orthogonal basis of forward Fourier transform according to the number of sampling points of Fourier transform and the fundamental frequency of the power grid; determining amplitudes and phases of a fundamental wave and each integer harmonic wave through an orthogonal basis of forward Fourier transform; and determining the amplitude and phase of inter-harmonics according to the amplitudes and phases of the fundamental waves and the integer-order harmonics, thereby realizing non-linear load monitoring. According to the method, the frequency difference caused by asynchronous sampling can be automatically adjusted, the frequency leakage and the fence effect caused by an asynchronous algorithm are reduced, compared with traditional DFT, when the frequency offset is 0.5%, the accuracy is improved by more than 10 times, and the calculation amount is only increased by one time of orthogonal basis calculation.

The invention relates to a broadband power grid harmonic rapid extraction method based on multi-scale cooperative measurement, and belongs to the field of power system harmonic analysis, and the method comprises the steps: constructing a multi-window parallel data buffer, and dynamically calculating the confidence coefficient weight of each window through a smooth transition function; respectively loading a rectangular window and a Blackman window by adopting a self-adaptive window function strategy, preliminarily acquiring full-band spectrum parameters by combining zero-padding FFT (Fast Fourier Transform), and introducing a phase alignment algorithm based on a time zero point to eliminate phase drift caused by asynchronous sampling; for random interference, a stability filtering mechanism is adopted to carry out validity verification. According to the method, multi-window parallel processing and an S-shaped smooth transition mechanism are organically combined, so that the unification of broadband harmonic transient fast locking and steady-state high-precision metering is realized, the dynamic adaptability and anti-noise reliability of measurement are remarkably improved, and a reliable technical basis is provided for broadband oscillation monitoring and control of a novel power system.

Aspects of this disclosure relate to an asynchronous sample rate converter (ASRC) comprising a signal input configured to receive an input signal having one or more input signal values at a first sample rate, a first clock input configured to receive an input clock signal corresponding to the first sample rate, a signal output configured to provide an output signal having one or more output signal values at a second sample rate, a second clock input configured to receive an output clock signal corresponding to the second sample rate, a zero-padding circuit configured to add a plurality of zero values following at least one of the one or more input signal values, and a filter configured to generate the output signal, the output signal having one or more output signal values based on the input signal.

This invention discloses a multi-source oscillating true random number generator based on configurable logic combination enable control. It introduces a user-controllable multi-logic combination mechanism, fusing internal entropy with external input to achieve dynamic and diversified generation of enable signals. Specifically, the true random number generator includes: a random signal generation module, a sampling module, a post-processing module, and a configurable logic combination control unit. The random signal generation module includes N ring oscillators RO_i, each with an independent enable port EN_i, outputting an oscillation signal only when EN_i=1, i=0~N-1. The sampling module is connected to the output of each ring oscillator for asynchronous sampling of the output. Typically, a low-frequency sampling clock can be used to asynchronously sample the high-frequency output of each ring oscillator. This invention enables dynamic and diversified generation of enable signals, improving the anti-attack capability of the entropy source.

This application discloses a frequency detection loop and conversion system for asynchronous sampling rate conversion, comprising: a counter for counting the period of a data source clock signal, outputting a current count value and an overflow indication signal; a main loop path for synchronizing the current count value to the clock domain of the target clock, and calculating the actual increment of the source clock domain count value within one target clock cycle based on the count value sampled in the current target clock cycle and the count value of the previous cycle, and performing a difference operation between the actual increment and the feedback signal to output an error signal; a feedforward calibration path for generating an overflow modulus equal to the counter when the overflow indication signal is received; and an integrator receiving the error signal and a calibration value, using the calibration value to offset the step disturbance introduced into the error value by the count value overflow event to obtain the frequency ratio of the data source clock and the target clock. This loop improves the adaptability and reliability of the asynchronous sampling rate conversion system in various complex scenarios.

This invention belongs to the field of optimization scheduling technology, specifically relating to a data-driven optimization scheduling method for equipment condition monitoring in power transmission projects. It includes: acquiring and normalizing multi-parameter asynchronous sampling data; triggering cross-parameter causal consistency checks, using a veto mechanism to block non-physical isolated noise, and fusing to obtain a comprehensive state vector sequence; applying asynchronous temporal causal correlation penalties to the optimization objective function of feature extraction, constraining feature activation to conform to the asymmetric sequential timing of physical failures, and extracting the main feature sequence; constructing a dual-track representation space representing normal aging and sudden failures, performing dual-track competitive deduction on the residual sequence, and triggering dynamic early warning. This invention can effectively reduce equipment aging baseline drift interference and provides a highly reliable data-driven optimization scheduling strategy for power grid equipment condition early warning and outage maintenance scheduling.

The invention discloses a consistency voting method and device for multi-source time synchronization data, and relates to the technical field of high-reliability time synchronization of avionics, time sensitive networks and the like. The method comprises the following steps: respectively acquiring synchronous data including local capture time, original time deviation and cumulative frequency ratio from a plurality of independent clock sources to obtain corresponding clock source data; performing validity screening on the clock source data; extrapolating the original time deviation of each effective clock source to a set voting moment based on the cumulative frequency ratio to obtain a projection time deviation; based on all projection time deviations, determining an internally consistent credible clock source subset through bounded closure consistency verification; and according to the verification result and the redundancy condition, calculating and outputting system time correction or executing degradation output. According to the method, false deviation caused by asynchronous sampling can be eliminated, deterministic fault isolation and fault-tolerant voting are realized, and the output safety and reliability of the system in a high-safety-requirement scene are guaranteed.

The utility model discloses a grain sampling rod which comprises an outer rod body, a sampling head fixedly connected to the bottom end of the outer rod body and a sampling power connecting body fixedly arranged at the top end of the outer wall of the outer rod body, a top cover is fixedly connected to the top end of the outer rod body, and a positioning driving motor is fixedly installed in the center of the top face of the top cover. A sample separation assembly is coaxially and rotationally arranged in the outer rod body; the sample separating assembly comprises a plurality of sample separating cylinders, every two adjacent sample separating cylinders are fixedly connected through a connecting piece, the top end of the sample separating cylinder at the uppermost end is fixedly connected with an upper rotating shaft, the upper rotating shaft is in transmission connection with the output shaft end of a positioning driving motor, and the bottom end of the sample separating cylinder at the lowermost end is fixedly connected with a lower rotating shaft; an inner material opening is formed in the side wall of each sample separating barrel, and an outer material opening is formed in the outer wall of the outer rod body. Layered asynchronous sampling of grains is realized through the plurality of sample separating cylinders, samples are respectively stored, and each layer is asynchronously discharged, so that layered sampling of the grains is facilitated, and the overall condition of the grains is comprehensively detected.

The application belongs to the technical field of communication, and discloses a resilient asynchronous sampling control method for resisting denial of service attacks in a networked system, which adopts resilient asynchronous sampling data control to realize the rapid recovery and stability of the networked system after a DoS attack and the improvement of robustness. During normal operation of the system, the state data of the networked system is continuously monitored and recorded based on an asynchronous sampling strategy. After the DoS attack ends, a preset asynchronous sampling mechanism is triggered immediately, state information is updated rapidly, and control instructions are recalculated, so that the dynamic response and performance of the networked system are recovered. The method combines the asynchronous sampling mechanism, the discontinuous interval dependent functional analysis and the switching stability theory method organically, and cooperatively realizes the rapid communication recovery capability of the networked system after suffering from the DoS attack, and significantly enhances the stability and robustness of the system, and is especially suitable for application scenarios with high security requirements.

The application discloses an asynchronous sampling method and device based on FPGA, a storage medium and a system. The application compares real data with monitoring data continuously to obtain the phase position of a sampling clock edge relative to a real data bit, and adjusts the position of the clock edge in the data bit to an optimal sampling position in real time, so that the timing performance is improved, and the timing convergence pressure is reduced.

This application relates to the field of integrated circuit technology and discloses a composite ADC circuit for audio active noise reduction. The circuit comprises a sampling module for acquiring a sampled signal and converting it into an analog output signal; a filtering module electrically connected to the output of the sampling module for performing at least two-order noise shaping on the analog signal based on a sigma-delta modulator architecture to obtain a filtered signal; and a quantization module electrically connected to the output of the filtering module for asynchronously sampling the filtered signal and outputting at least a 4-bit quantized signal. This application significantly reduces the latency of the digital filter without reducing the overall signal-to-noise ratio of the circuit, meeting the processing time requirements of active noise reduction and being applicable to the low latency, high precision, and low power consumption requirements of active noise reduction audio ADCs.

The invention relates to the technical field of medical information processing and data fusion, and discloses a multi-protocol fusion dynamic data processing method and system. Protocol data are uniformly collected and arranged in an ascending order, and abnormal points are removed by using statistical characteristics, so that the data reliability is guaranteed; generating an equidistant grid according to a public time interval and a minimum sampling interval, realizing high-precision resampling of each path of data through Lagrange interpolation, and unifying dimensions based on maximum amplitude normalization; a closed optimization model which takes the minimum mean square error as a target and has endpoint constraint is adopted, a global optimal fusion solution is obtained through a Lagrange multiplier method, and the global optimal fusion solution is automatically degraded into unconstrained average when necessary, so that the stability is ensured. And the fusion result is output according to a protocol format after being subjected to inverse normalization and interpolation remapping, so that the problems of asynchronous sampling, noise interference, dimension inconsistency and dynamic consistency are solved, and the accuracy and robustness of the fusion data and the platform application efficiency are improved.

The present application relates to the technical field of connection detection, and more particularly to a precision connection detection method, device and storage medium, comprising the following steps: step S1, dynamic ballast feedback control; step S2, zero impedance matrix extraction; step S3, signal path impedance active management; step S4, interference field decoupling asynchronous sampling; and step S5, closed-loop impedance skin compensation calculation. The present application realizes comprehensive real-time feedback of physical contact, thermal field and dynamic parameters through dynamic ballast feedback control of pressure contact, environmental thermal field nonlinear compensation of signal transfer plate, active drive circuit phase compensation and asynchronous sampling timing scheduling logic, significantly improves the precision and stability of precision connection detection, and meets the high-precision closed-loop production demand. The present application solves the problems of large nonlinear deviation and poor stability of detection results caused by environmental thermal field temperature drift, parasitic parameter fluctuation and high-voltage field electromagnetic interference in the prior art.

The invention is suitable for the technical field of electric energy metering, and relates to a rapid analysis method of electric power signal harmonic waves, a medium and a terminal. A linear convolution system of a sampling value sequence and a discrete Fourier transform phase twiddle factor is constructed by utilizing the periodicity of the discrete Fourier transform phase twiddle factor; discrete Fourier transform of a sampling value sequence is expressed as a digital filtering form, and finally harmonic spectrum analysis is completed through recursive iterative calculation only including real number operation and a difference equation form. The method effectively solves the problems of spectrum leakage and fence effect caused by asynchronous sampling and non-integer period truncation during fundamental wave / harmonic wave analysis, and has the advantages of high harmonic wave analysis accuracy and efficiency, low resource consumption and high real-time performance compared with the existing method.

This invention relates to a terahertz time-domain ellipsometric spectrometer based on optical asynchronous sampling, comprising: a pump laser for generating a first femtosecond pulse to excite a terahertz transmitting antenna to emit terahertz light; an incident arm assembly for converting the terahertz light into an incident beam that meets the requirements of ellipsometric measurement and illuminating the surface of the sample under test at a preset incident angle; an exit arm assembly for collecting reflected terahertz light carrying information about the sample under test and focusing the desired polarization component light selected from the reflected terahertz light onto a terahertz receiving antenna; a probe laser for generating a second femtosecond pulse to trigger the terahertz receiving antenna to generate a photocurrent; and a signal processing module for amplifying the photocurrent and converting it into a voltage signal for sampling; wherein the pump laser and the probe laser are locked by an electronic phase-locked loop to maintain a stable repetition frequency difference. This invention enables high-speed, high signal-to-noise ratio, and high-stability full polarization spectral measurement.

The application provides a temperature measurement method and device based on single-cavity double optical comb, and belongs to the technical field of laser absorption spectrum. A single-cavity double optical comb generation module generates a probe optical comb and a local oscillator optical comb with slightly different repetition frequencies; a temperature control module makes the single-cavity double optical comb generation module work in a constant temperature environment; the probe optical comb and the local oscillator optical comb are respectively amplified and spectrally broadened; the two optical combs are combined through a 2*1 optical fiber coupler, then enter an optical band-pass filter for filtering; the filtered double optical combs pass through a gas medium to be measured, and an interference signal of asynchronous sampling between the double optical combs is obtained through a photodetector; a signal acquisition and processing module is used to acquire the interference signal filtered through an electrical low-pass filter, so that a gas absorption spectrum is obtained; finally, through frequency domain difference and time domain separation, a multi-spectrum fitting method is used to solve the gas temperature. The application combines the advantages of the single-cavity double optical comb, such as high spectral resolution, high coherence and wide spectrum, and the advantages of the multi-spectrum fitting algorithm, such as high robustness, strong anti-noise ability and strong immunity to baseline, so that the gas absorption spectrum measurement and temperature measurement are realized, and the application has a wide application prospect.

The invention relates to a method for synchronous space vector modulation during asynchronous sampling at a power converter for operating an electric machine, wherein a sequence of space vectors is adapted by introducing an additional time to freely shift the sequence, wherein this additional time is calculated online from a flow trajectory (FT).

Example channel circuits, data storage devices, and methods for asynchronous sampling from an oversampled analog-to-digital converter are described. The channel circuit may include an analog-to-digital converter configured to generate an oversampled digital signal from an analog data signal using a sample rate that is an integer multiple of the baud rate of the channel circuit. A digital sample interpolator may then interpolate interpolated digital signal values from multiple signal values of the oversampled digital signal and select values at baud rate to generate a baud rate digital signal. The baud rate digital signal may be used by an iterative detector in a timing loop and, once a target timing is achieved, for the iterative detector to detect data bits from the interpolated digital signal.

Method for synchronous space vector modulation with asynchronous sampling at a power converter for operating an electric machine, wherein a sequence of space pointers is adjusted by introducing an additional time to freely shift the sequence, wherein this additional time is calculated online from a flow trajectory (FT), where a control unit sets a target voltage v α β * ( k ) calculated using a deadbeat rule formation rule to track the set flow trajectory (FT) and where the magnitude of the flow trajectory (FT) is determined using a minimum function for each target flow angle, characterized by the fact that Then, when a target flow magnitude is less than a maximum, a variable inhex is activated, a change in the flow section is detected with the modulo operator and stored in a variable LR, then, when both variables inhex and LR are zero, 6-step PWM is performed, then, when the variable LR is 1 and the variable inhex is zero, a complete sequence is performed, then, when the variable LR is zero and the variable inhex is 1, the pulse width modulation sequence is partially applied and completed in the next sampling task.