89 results about "Peak detection" patented technology

A sound source positioning device based on multi-microphone and time difference algorithm, the device comprises a sound signal acquisition module, a signal processing module, a positioning and communication module, a display module and a power module; the sound signal acquisition module adopts multiple output analog signal microphones to realize omnidirectional acquisition of sound signals; the signal processing module takes a single-chip microcomputer as the core and integrates analog signal amplification, filtering, peak detection, analog-to-digital conversion and time difference algorithm processing functions; the positioning and communication module combines a Beidou positioning module and a mobile communication module to realize sound source position determination and remote data transmission; the power module stably supplies power to each module in multiple gears. The present application combines multi-microphone cooperative acquisition with the time difference algorithm to improve the accuracy and stability of local single-point sound source positioning and can be applied to security monitoring, environmental monitoring, industrial inspection and other scenes.

An electronic device may include an antenna, a receiver, and a transmission line path that couples the antenna to the receiver. A peak detector may receive a radio-frequency signal from the transmission line path and may output a DC voltage indicative of a peak voltage level of the signal. The peak detector may include a pair of square law transistors having source-drain terminals coupled to an output of the peak detector. The peak detector may include a differential pair of transistors coupled between a power supply voltage and the output. The peak detector may include diode-connected transistors coupled between the source-drain terminals and gate terminals of the square law transistors. The diode-connected transistors may cause noise current to flow along feedback loop paths from the source-drain terminals onto the gate terminals of the square law transistors. This may remove noise from the output of the peak detector.

A method for detecting a variation of input voltage. The method is generating an indication signal based on the input voltage, and comparing the input voltage with a first reference signal. The first reference signal is smaller than the indication signal, and if the input voltage is consistently smaller than the first reference signal during a first time duration from the moment when the input voltage is decreased to the first reference signal, the indication signal is decreased after the first time duration.

This application discloses a method, device, medium, and product for detecting lidar signal peaks in aerosol clusters, relating to the field of data processing. The method includes processing the lidar signal of an aerosol cluster using an outlier detection algorithm to obtain the signal peak closest to the lidar signal zero point; extracting the peak positions corresponding to the rising and falling edges of the signal peak; correcting the signal peak using the two peak positions to obtain the detection result; segmenting the lidar signal of the aerosol cluster based on the peak position corresponding to the falling edge; and iterating multiple times on a segment of the signal farthest from the lidar signal zero point until a set condition is met to obtain the lidar signal peak detection result for the aerosol cluster. This application can improve the accuracy of signal peak detection, greatly preserve the detailed information of the aerosol signal peak, and extract the complete shape of the aerosol signal peak.

The present application relates to the technical field of psychophysiological monitoring, and discloses a video psychophysiological index analysis method and system; the method comprises the following steps: positioning facial key points and partitioning from a video, extracting remote optoelectronic plethysmography pulse wave and action unit breathing characteristics, outputting heart rate and breathing signals through Kalman filtering; obtaining a heartbeat interval through peak value detection, calculating heart rate variability indicators and breathing frequency, and normalizing by establishing an individual baseline in an initial calm period; fusing emotional characteristics and normalized indicators to form an observation vector, inferring a stress state through an unsupervised model and a forward algorithm; detecting index mutation points to identify stimulus events, and adopting a gated recurrent unit network to predict excessive stress risk and grade early warning; storing multi-session data into a database, quantifying desensitization rate, tolerance and recovery capacity through linear regression, weighted scoring and model updating. The present application realizes contactless monitoring, real-time stress evaluation and early warning, and supports quantitative analysis of cross-training effects.

An electronic circuit includes a fast-settling threshold estimator for determining a fast-settling threshold voltage which includes a maximum peak detector that receives an analog signal containing digital data and produces an estimate of a maximum value of the analog signal; a differentiator that produces an output voltage responsive to a change in the estimate of a maximum value of the analog signal; a preselected voltage coupled to a comparator that outputs a pulse when the output voltage is greater than the preselected voltage; a minimum peak detector that produces an estimate of a minimum value of the analog signal; and an averaging circuit that produces a weighted average of the estimate of a maximum value of the analog signal and the estimate of a minimum value of the analog signal. In one embodiment, the fast-settling threshold estimator is coupled to a bit slicer and to a RF receiver.

This invention discloses a peak retrieval and feature extraction method suitable for environments with strong electromagnetic interference, belonging to the field of signal processing and high-speed data acquisition technology. Due to the presence of a large amount of broadband random noise and high-frequency interference in signals under strong electromagnetic environments, the peak features of signals are difficult to extract accurately. This invention proposes a peak detection and feature extraction method based on continuous comparison. This method constructs a sliding comparison model to quickly locate candidate peaks by comparing the amplitudes of adjacent sampling points, and combines a threshold decision mechanism to remove false peaks caused by noise. Based on this, feature parameters such as peak amplitude, peak position, and pulse width are extracted. Simultaneously, a dual-RAM ping-pong cache structure is introduced to achieve alternating storage and parallel output of feature data, avoiding data processing blockage and improving system real-time performance and stability. This invention has a simple structure, is easy to implement in FPGA, and can achieve high-precision peak detection and continuous data output under high-speed sampling conditions. It has good anti-interference performance and engineering application value.

This invention relates to the field of materials testing technology, and discloses a mass spectrometer calibration method, system, intelligent terminal, and storage medium. The method includes: subtracting background signal from the raw mass spectrometry data to obtain standard mass spectrometry data; performing dynamic threshold peak detection on the standard mass spectrometry data to obtain the characteristic peaks of the mass spectrometer, thereby constructing a multidimensional feature vector; performing weighted similarity evaluation on the multidimensional feature vector and a preset standard feature library to obtain a similarity value; performing threshold screening on the similarity value, and comparing the screened candidate feature vectors with the corresponding standard feature vectors in the standard feature library using multidimensional deviation to obtain a systematic deviation parameter; performing non-uniform interpolation fitting on the systematic deviation parameter to obtain a continuous calibration curve; performing point-by-point correction on the standard mass spectrometry data, and outputting the calibrated mass spectrometry data. This invention can improve the calibration efficiency of mass spectrometers.

The application discloses a cross-water bridge parameter inversion method and system based on generalized compact polarization SAR total power intensity peak value, and belongs to the technical field of synthetic aperture radar remote sensing, and solves the problems of low system efficiency, non-movable discriminator, non-uniform GCP mode discriminators and precision affected by pixel deviation of the prior art. The application obtains or synthesizes a received scattering vector; total power is calculated pixel by pixel based on the received scattering vector, a filter is used for multi-view processing, a smoothed total power map is obtained, the smoothed total power profile in the distance direction is obtained by averaging in the azimuth direction within the azimuth direction interval covered by the determined bridge main span, three local maximum peak values satisfying preset conditions are identified by using a peak value detection method; and the geometric parameters of the bridge are inverted based on the pixel positions of the local maximum peak values and combined with imaging geometric parameter inversion. The application is used for the safety monitoring and quantitative inversion of geometric parameters of cross-sea and cross-river bridge infrastructure.

Provided is an optical displacement meter and a measurement method of a profile of a measurement object, which can efficiently measure a profile of a measurement object while preventing an increase in manufacturing cost. Reflected light from a measurement object is received by a plurality of pixel columns arranged in an X2 direction in a light-receiving unit (121), and a plurality of light-receiving amount distributions are output. A peak detection unit (1) detects one or more peak candidate positions of light-receiving amounts in a Z2 direction based on the plurality of light-receiving amount distributions for each pixel column. A peak position to be adopted for a profile is selected from the peak candidate positions detected for each pixel column based on a relative positional relationship with a peak position of another pixel column adjacent to the pixel column, and a profile generation unit (3) generates profile data indicating a profile based on the selected peak position.

The application discloses a kind of wind field wind blade integrated monitoring method based on millimeter wave radar array, comprising: by the observation data obtained by millimeter wave radar array on the top of cabin is carried out distance and doppler processing, generate point cloud observation result, and construct echo energy time sequence in wind blade area, determine wind blade sweep period by peak value detection.Construct time slot control sequence, wind blade occupation period is used for point cloud reconstruction, unobstructed period is used for wind measurement.In wind blade point cloud reconstruction time slot, reconstruct wind blade point cloud by multi-channel signal synthesis, threshold detection and angle estimation etc., and extract blade state parameter;In wind measurement time slot, by multi-view radial velocity observation, establish wind speed vector inversion model, and obtain wind speed and wind direction by using weighted fusion method.Wind blade state parameter and wind field parameter are fused and output under unified coordinate system and time axis.The method does not need additional wind measurement equipment, realizes the integration, continuity and high reliable monitoring of wind field and wind blade.

The present application relates to the technical field of medical data processing, and provides a medical image data processing method based on deep learning, which comprises the following steps: collecting data according to a collection template, extracting pulse timing by adaptive threshold peak detection, calculating instantaneous phase by linear interpolation, comparing quantitative indicators with preset threshold values, judging steady state by combining peak loss rate and mutation detection rules, and verifying by calculating inter-channel phase consistency; splitting the collected data according to concept entities to form a data relationship model, implementing fast global rigidity estimation, applying affine transformation, estimating pixel-level displacement field by using a pyramid dense optical flow network, applying the displacement field to original pixels, and performing time domain fusion by taking optical flow confidence and registration residual as weights; cropping the short-time steady image sequence after registration compensation, taking a mixed network of a convolution front end and a space-time Transformer backbone as a prediction model, and outputting a pixel-level risk heat map, a candidate lesion list and confidence intervals of each output.

This invention discloses a radio frequency (RF) activation method, apparatus, electronic device, and medium for an indoor distributed antenna. The method includes: performing three-dimensional local peak detection on target wall nodes of a target building to obtain target anchor points; projecting a two-dimensional continuous probability map, determined by superimposing parameter information of the target cores of all target anchor points, onto the target beam angular domain of each distributed antenna element to determine the coverage occupancy rate of each beam element in the target beam angular domain; allocating transmit power vectors to the target beam angular domain based on the coverage occupancy rate; determining the target RF chain for each beam element in the target beam angular domain based on the angular difference between two adjacent beam elements in the target beam angular domain; and transmitting the transmit power vector of the target beam angular domain and at least one target RF chain to the corresponding distributed antenna element in the target beam angular domain. This invention enables an indoor distributed antenna system to significantly reduce RF link power consumption while ensuring RF link quality.

The application relates to the technical field of optical detection equipment, and discloses a device and a processing method for testing the laser damage threshold of a sample, which can quickly and accurately lock the spot size when damage occurs. The method comprises the following steps: converting a received laser signal that has passed through a measured sample into an electrical signal output by means of a photoelectric detection module; amplifying the electrical signal output by the photoelectric detection module by means of a signal amplification module; performing peak detection and smoothing processing on the voltage signal output by the signal amplification module by means of a peak detection module to obtain a voltage signal representing the peak intensity of laser; outputting a high-level signal when the voltage signal output by the peak detection module is higher than a reference voltage by means of a voltage comparator configured in a same direction comparison mode in a voltage comparison module; and cutting off the power supply circuit of the motor to lock the spot size corresponding to the moment of power mutation by means of a lock module comprising a MOS tube connected in series in a motor on-off control circuit when the voltage comparator outputs a high-level signal.

This invention relates to the field of ultrasonic flow detection. Specifically, it relates to an echo signal discrimination and processing system and method. It mainly includes a threshold judgment module, a zero-point judgment module, a timing module, a peak detection module, a frequency output module, and an MCU microprocessor. It can filter echo signals. When the frequency of the echo signal input to the discrimination and processing system differs from the frequency emitted by the transmitter, it can be directly determined that it is not a valid echo signal, and the MCU microprocessor will not perform further calculations or analysis. Similarly, when the voltage ratio between the peak voltage of the first wave and the peak voltage of the maximum echo does not meet the standard, it can also be directly determined that it is not a valid echo signal. This system can perform multi-dimensional and comprehensive discrimination and processing of echo signals, allowing the microprocessor to process only valid echo signals that meet the standards. This helps reduce the power consumption of the microprocessor, saves its computing power, and significantly improves the performance of the ultrasonic flow meter.

The application discloses a kind of perception positioning methods for time-sensitive target in high dynamic complex electromagnetic environment, and the method constructs layered collaborative perception system: first, multi-agent cluster uses space-frequency anti-aliasing generation network to complete and inversion sparse collection electromagnetic environment data, realizes target rough positioning by peak detection and Gaussian weighting;Second, unmanned aerial vehicle approaches target area, collects high-precision vision and electromagnetic data, realizes feature-level fusion and decoding by bimodal fusion network, and outputs centimeter-level precision positioning coordinates;Finally, precision positioning coordinates are used as real-time observation of adaptive Kalman filter, and through signal-to-noise ratio decision mechanism, dynamically select sparse or deep Gaussian process regression model, online estimate and adjust measurement noise covariance, realize multi-source information fusion and continuous, stable, adaptive tracking of target state.

The application belongs to the technical field of random number generation, and particularly relates to a random signal generation device based on a saturable absorber semiconductor laser. The device comprises a random self-pulsation entropy source, a photodetector and a pulse amplitude quantization module. The random self-pulsation entropy source adopts a saturable absorber semiconductor laser (preferably a DFB-SA structure), generates optical pulses with random amplitudes and stable repetition periods by injecting a driving current in a gain region and applying a reverse bias voltage in an absorption region; the photodetector adopts a PIN photodiode or an avalanche photodiode to convert the optical pulses into corresponding electrical pulses; and the pulse amplitude quantization module comprises a differential comparator and a peak detection circuit, which quantizes the peak value of the electrical pulses in each pulse period by using a fixed threshold or an adaptive threshold to generate a random bit sequence. The application realizes high-speed and high-stability random signal generation without an external electric clock, an ADC and digital post-processing, and has a simple device structure, low power consumption and high integration.

A FMCW radar ranging method, system and medium based on power-weighted centroid, which comprises obtaining the beat signal of the FMCW radar and performing Fourier transform thereon to obtain an initial distance spectrum composed of multiple distance units; performing interpolation processing on at least two distance units corresponding to a preset near distance range in the initial distance spectrum to generate a refined distance spectrum with a higher frequency resolution than the initial distance spectrum; performing power-weighted centroid calculation on a continuous frequency spectrum interval corresponding to the preset near distance range based on the refined distance spectrum to obtain a first distance estimation value; performing peak value detection on the initial distance spectrum to obtain a second distance estimation value; performing time domain filtering processing on the first distance estimation values and the second distance estimation values obtained from continuous multiple frames of signals respectively; obtaining a target distance value based on the smoothed first distance estimation value and the smoothed second distance estimation value according to a preset fusion rule, and outputting.

This invention discloses a dual-channel, multi-mode, low-power EEG signal acquisition system, relating to the field of brain-computer interface technology. It includes: N electrode channels for acquiring EEG signals; N time-division multiplexing switches, whose inputs are respectively connected to the N electrode channels, and whose outputs are connected in parallel to a shared analog front-end processing link; and N peak detectors, whose inputs are respectively connected to the N electrode channels, for real-time detection of whether the amplitude of the EEG signal in the corresponding channel exceeds a preset threshold. This invention addresses the time-frequency characteristics differences between LFP and AP signals by employing time-division multiplexing and event-driven acquisition mechanisms: for slowly varying continuous LFP signals, the analog front-end and analog-to-digital converter resources are shared; for sparse, bursty AP signals, high-speed sampling is initiated only when a discharge event is detected. Compared to the traditional full-channel high-speed continuous sampling architecture, this significantly reduces the average operating bandwidth and dynamic power consumption of the analog-to-digital converter, improving the system's energy efficiency ratio.

This invention discloses an indoor positioning method based on LTE signal fingerprint matching and nearest neighbor observations constrained by PDR (Progressive Directional Recognition), belonging to the field of indoor navigation and positioning technology. The method first performs step count detection, step length estimation, and heading estimation based on MEMS sensor output to obtain PDR positioning results. Then, it uses the PDR positioning results and an indoor map to estimate LTE signal propagation model parameters online, quickly constructing a fingerprint database, and obtaining location observations through fingerprint matching. Simultaneously, it utilizes the peak variation pattern of the LTE signal RSRP (Regressive Range Recognition Point) to identify antenna positions using peak detection and threshold constraints, extracting nearest neighbor position, step length, and heading observations. Finally, it employs unscented Kalman filtering to fuse the PDR results and the aforementioned observations in different scenarios. This invention requires no prior data, can adapt to changes in environment and equipment, and combines low cost with high accuracy, making it suitable for indoor pedestrian positioning.

This invention relates to the field of radio frequency communication technology and discloses a communication frequency selection method and apparatus based on RSSI. The method includes: sweeping a target frequency band using step units to obtain a set of sweep points; performing peak detection on the sweep point set to obtain the peak received signal strength and interference frequencies; calculating at least one third-order intermodulation point within the target frequency band based on each interference frequency; fitting the sweep point set, each interference frequency, and each third-order intermodulation point to obtain a target sweep point set; performing weighted calculations on each target sweep point in the target sweep point set based on antenna weighting coefficients and the center frequency to obtain a received signal strength weighted value; and selecting the optimal frequency point based on each received signal strength weighted value. Therefore, implementing this invention can improve the accuracy and reliability of communication frequency selection, extend communication distance, and ensure the comprehensiveness and accuracy of frequency selection, thereby improving the stability and anti-interference capability of wireless audio communication.

The application discloses a dynamic interference suppression method of multipath channel phase focusing and harmonic reverse phase cancellation, relates to the technical field of interference suppression, and comprises a path characteristic extraction module, which extracts sampling data of a received signal, constructs a received signal matrix, generates a pilot signal, carries out filter processing on a noise matrix, calculates a channel frequency response matrix, and extracts path characteristics by using a peak value detection method. The method can comprehensively calculate the time delay component contribution of the channel time domain response by discretizing the channel frequency response matrix through limited sampling points and combining all frequency components in the frequency bandwidth, can enhance the dynamic response capability of the channel model by introducing time-varying environmental characteristics through a dynamic path time delay function, can improve the signal characteristic correction precision through dynamic compensation of path time delay error phase rotation, and can realize the channel description process with path grouping as the core.

This invention discloses a fast quasi-peak detector simulation method for EMI receivers based on pulse detection coefficient fitting, comprising: acquiring the amplitude result of the target signal after processing by a peak detector; establishing a quasi-peak response model and determining the pulse detection coefficients; calculating the quasi-peak detection result corresponding to the target signal using the mathematical mapping relationship between quasi-peak voltage and peak voltage; and using the quasi-peak detection result as a fast predictive output to replace the time constant integration of traditional quasi-peak detection circuits for electromagnetic interference assessment. This invention is beneficial for the electromagnetic compatibility design of power electronic equipment and solves the problems of electromagnetic compatibility array testing time and cost.

This invention discloses a method and system for locating cable faults, applied in the field of fault detection technology. The method includes sending a first pulse signal to a faulty cable line and acquiring first pulse reflected wave information of the faulty cable line; extracting voltage waveform data from the first pulse reflected wave information and performing peak detection processing on the voltage waveform data to obtain first pulse reflection extreme value information; determining the faulty cable section based on the topology information of the faulty cable line and the first pulse reflection extreme value information; sending second discharge information to the faulty cable line and acquiring second discharge acoustic wave information of the faulty cable section during the discharge process; extracting instantaneous acoustic wave features from the second discharge acoustic wave information and performing feature quantization processing on the instantaneous acoustic wave features to obtain acoustic location parameters; and determining the line fault point of the faulty cable line based on the acoustic location parameters. This method enables rapid and accurate location of cable fault points.

The application discloses a peak detector, which comprises a signal input end, a signal output end, a first triode, a sampling capacitor and a bias current control circuit; the base of the first triode is connected with the signal input end; the collector of the first triode is connected with a power supply voltage; the emitter of the first triode is connected with the bias current control circuit, the sampling capacitor and the signal output end respectively; the terminal of the sampling capacitor, which is not connected with the emitter of the first triode, is grounded; the bias current control circuit is connected with a first bias circuit; when the input signal is in a peak value detection period, the bias current control circuit is connected with the first bias circuit, the bias current is connected with the emitter of the first triode, and the signal output end outputs a detection signal; when the input signal is in a non-peak value detection period, the bias current control circuit is disconnected with the first bias circuit and the first triode simultaneously. The peak detector has higher detection precision in high-speed detection.

The invention discloses a heterogeneous fiber bragg grating high-speed demodulation system based on an STM32 and an FPGA. The heterogeneous fiber bragg grating high-speed demodulation system comprises an optical path module, a data acquisition mainboard and an auxiliary control daughter board, the optical path module converts the optical signal into analog voltage; an FPGA on the data acquisition mainboard performs filtering and peak detection on the voltage signal to obtain an initial wavelength; the STM32 on the auxiliary daughter board completes temperature compensation to obtain a final wavelength and uploads the final wavelength to the upper computer; wherein the STM32 dynamically generates a processing instruction according to a working condition and sends the processing instruction to the FPGA, the FPGA adjusts processing logic and feeds back performance data according to the processing instruction, and the STM32 adaptively optimizes the instruction according to the feedback to form closed-loop cooperation. Compared with the prior art, the self-adaptive balance of high speed, high precision and low power consumption is realized in fiber bragg grating demodulation through a heterogeneous cooperation and dynamic optimization mechanism of the STM32 and the FPGA.

The application discloses a three-dimensional topography determination method and system, electronic equipment and medium, and relates to the technical field of white light interference three-dimensional topography measurement. The method comprises the following steps: inputting the interference signal sequence of each pixel point in the interference graph of the to-be-measured sample into a trained convolutional neural network to determine the category of the interference signal sequence of each pixel point in the interference graph of the to-be-measured sample; processing the interference signal sequence of each pixel point in the interference graph by using a coherent peak value detection algorithm to obtain the height of each pixel point; correcting the height of the pixel point corresponding to the interference signal sequence of the category affected by the bat wing effect according to the height of each pixel point by using a cross method to obtain the corrected height of each pixel point; and determining the three-dimensional topography of the to-be-measured sample according to the corrected height of each pixel point. According to the application, the position where the bat wing effect occurs can be determined in advance without prior knowledge of the to-be-measured surface before the topography is restored, so that the influence of the bat wing effect can be accurately eliminated, and the accuracy of three-dimensional topography detection is improved.

The application provides a kind of heart-like heart rate determination method, device, equipment and storage medium, for realizing by extracting the time domain signal corresponding to at least two feature pixel points in continuous multiple frames of heart-like image, the time domain signal of each feature pixel point is carried out first wave peak detection and obtains corresponding first wave peak detection result, the effectiveness of the first wave peak detection result corresponding to at least two feature pixel points is verified respectively, the first wave peak detection result corresponding to at least two feature pixel points is carried out frequency feature identification, according to the result of frequency feature identification of at least two feature pixel points, determine target feature pixel point in at least two feature pixel points, determine the heart rate of the heart-like heart based on the first wave peak detection result of target feature pixel point, by multiple pixel points verification find best pixel point, realize the efficient and accurate confirmation of heart rate of heart-like heart.