38results about How to "Increase sampling rate" patented technology

The invention provides an MRI (Magnetic Resonance Imaging) reconstruction method of a subspace diffusion model based on orthogonal decomposition. The MRI reconstruction method comprises the following steps: forming an open source brain data set; a subspace diffusion model based on orthogonal decomposition is constructed, and k-space data is decomposed into subspaces for diffusion, so that data distribution is better captured, and robustness is kept in a noise environment; designing an iterative solution algorithm for extracting prior information in the model; and applying an iterative solution algorithm to the model to test the test data set, and outputting a final restored image. According to the method, the learning of effective information in complex distribution is promoted, the inherent high-dimensional extrapolation challenge is solved, and the calculation cost related to a diffusion model is reduced. Comprehensive experiments on different data sets clearly show that the method is superior to other methods in the aspects of reconstruction speed and quality.

The invention discloses a self-adaptive point cloud sampling adjustment method. The method comprises the following steps: training a feature analysis model; sampling a workpiece at an initial sampling rate to obtain point cloud data of the workpiece, inputting the point cloud data into the feature analysis model to obtain regional features, and dividing a local region based on the regional features; and adjusting the sampling rate of the local region based on the region features. The local structure of the point cloud can be reflected more finely based on the division of the regional features, so that the subsequent sampling rate adjustment is more accurate. The refined division mode is beneficial for reserving important features such as edges and angular points in the point cloud, removing redundant information at the same time, and providing a more valuable data basis for subsequent point cloud processing tasks.

The invention discloses a sampling-free sample preparation cross-belt coal quality online detection LIBS (laser-induced breakdown spectroscopy) spectrum system which comprises a belt conveying system and an optical detection system, and a laser range finder is arranged on a branch conveying belt; and the laser range finder is used for detecting and recording the height of the coal in the detection area on the branch conveying belt. An optical detection system based on the LIBS technology is directly erected on the coal conveying belt, the problems that the speed of the conveying belt is high and real-time sampling detection cannot be achieved are solved, rapid and real-time cross-belt coal quality quantitative analysis with high sampling rate is achieved, and the detection accuracy is improved for the problem that the spectral stability is affected by the height change of coal on the belt. And the focal length of the LIBS detection system is quickly adjusted through the height of the sample in the detection area recorded by the laser range finder, so that the stability of the spectrum is improved.

The invention relates to a weak current signal detection system and method based on a fluxgate, and the system comprises an excitation module, a range selection module, a power amplification module, a fluxgate magnetic core coil, a sampling resistor, a differential amplification module and a data processing module which are connected in sequence, the magnetic core current reaches saturation current; the range selection module is used for adjusting the gain of the power amplification module; the power amplification module is used for amplifying the excitation signal; the fluxgate magnetic core coil is used for sensing current to be measured; the sampling resistor is used for sampling saturation current of a magnetic core coil of the fluxgate; the differential amplification module is used for amplifying saturation current of a magnetic core coil of the fluxgate; and the data processing module performs time difference calculation on the amplified saturation current through resampling, and outputs a weak current detection result. Compared with the prior art, the hardware cost can be reduced while the measurement precision is improved.

The invention provides a physical information long-short-term memory network site seismic response prediction method based on kinematics derivative constraint and data folding. The method comprises the following steps: collecting and preprocessing bedrock and ground surface seismic oscillation data; displacement, speed and acceleration supervision labels are constructed through surface acceleration integration; constructing a long-short-term memory network containing a data folding and unfolding module; physical constraint loss is constructed by utilizing kinematics derivative relations between displacement and speed and between speed and acceleration, and a network is trained by combining an adaptive weight strategy; and outputting earth surface displacement, speed and acceleration time history by adopting the trained network. According to the method, under the condition that constitutive parameters of a soil layer are not explicitly given, physical consistency constraint can be applied to the field seismic response prediction process, the long-time program train training burden is reduced through sequence folding processing, and the method is suitable for field seismic response prediction.

The invention discloses a step frequency continuous wave ground penetrating radar imaging device and a rapid imaging method, and belongs to the technical field of microwave ground penetrating imaging. The vector network analyzer is adopted, the radio frequency power amplifier is carried, the ultra-wideband directional antenna is combined, signals of a step frequency continuous wave system are adopted, the frequency range is 700 MHz to 3 GHz, the bandwidth is large, meanwhile, the large transmitting power can be achieved, and meanwhile the requirements for the detection depth and the detection resolution are met; according to the method, direct wave interference is eliminated by adopting a singular value decomposition algorithm, then the effective signal strength is improved based on an automatic gain algorithm, and finally clutter interference is eliminated by adopting a block matching algorithm, so that the signal-to-noise ratio is improved; according to the method, an F-K migration imaging algorithm is developed, processed data are converted to a frequency wavenumber domain through Fourier transform, wavenumber domain data are filled before fast inverse Fourier transform, and the transverse space sampling rate and the imaging speed are increased.

The invention discloses a new energy transmission line inter-phase fault distance measurement method and system, and the method comprises the steps: starting an element to act after a fault occurs, and inputting low-voltage ride-through control and complex-frequency signal injection control; fault phase selection is realized according to a voltage phase selection element, and fault phase voltages and currents under two characteristic frequencies are extracted through filtering; if the fault is a two-phase short-circuit fault, extracting and replacing the fault phase-to-phase voltage, and replacing the transition resistor with Rf / 2; if the fault is a three-phase short-circuit fault, the phasors of the phase voltage and current difference of any two phases are brought in; according to the equivalent circuit under the characteristic frequency, a frequency domain parameter equation about the fault distance is obtained; respectively splitting a real part and an imaginary part of the frequency domain parameter equation of the fault distance to obtain a real coefficient equation set about the fault distance; when the non-power-frequency electrical quantity is extracted, the real coefficient equation set is expanded into an overdetermined equation with the equation number of 4N, and the solution of the overdetermined equation in the least square meaning is solved; and obtaining a distance measurement result of the new energy transmission line.

The invention belongs to the technical field of path planning and robot motion planning, and particularly relates to a multi-strategy fusion improved RRT * sampling planning method and device and a storage medium, and the method comprises the steps: constructing a dual-search tree through a starting point and a target point in a three-dimensional working space, and selecting a to-be-expanded search tree through a random mode; halton-Bridge mixed sampling is adopted to generate sampling points, so that the global coverage uniformity is improved, and the narrow channel sampling capability is enhanced; calculating the dynamic step length of the exponential decay based on the local obstacle proportion; adopting a hierarchical guidance expansion strategy, preferentially expanding towards a target, introducing an improved artificial potential field to guide expansion when the expansion fails, and taking the bottom with random expansion; performing RRT * neighborhood father node reselection and reconnection optimization on the new node; greedy pruning, self-adaptive interpolation and cubic B-spline smoothing are carried out on a path after the double trees are connected, and an executable smoothing track is output; according to the scheme, planning efficiency, success rate and path quality are improved.

The invention discloses an online monitoring system and method for the radiation status of a radioactive material storage container, and relates to the technical field of nuclear radiation monitoring. The online monitoring system for the radiation status of a radioactive material storage container comprises a detector, an FPGA chip, a communication module, a server and a user terminal; the detector is used to output a pixel matrix containing a radiation response signal and the position information of a target storage container; the FPGA chip is used to characterize the pixel matrix output by the detector as the radiation dose rate of the radioactive material; the server is used to store and display real-time radiation dose rate data and detector position data on the one hand, and to adjust the operating parameters of the FPGA chip on the other hand, and to send real-time radiation dose rate data to the outside on the other hand. The present invention adopts a non-destructive detection method to monitor the status of a radioactive material storage container online, and can inform the user through the user terminal at the first time of a nuclear leak.

This invention provides a method, apparatus, device, and readable storage medium for improving audio generation quality, relating to the field of speech conversion and recognition technology. The method includes acquiring low-sampling-rate audio, a target audio sampling rate, and an audio processing model; calculating an initial high-sampling-rate audio based on the low-sampling-rate audio, the target audio sampling rate, and the audio preprocessing mathematical model; calculating the target audio time-domain signal and target audio wavelet coefficients based on the initial high-sampling-rate audio and an audio signal reconstruction mathematical model; and solving the mathematical model based on the target audio time-domain signal, the target audio wavelet coefficients, and a preset fused audio signal mathematical model to obtain the target high-sampling-rate audio. This invention uses discrete wavelet transform to capture multi-scale details of the audio signal and reconstructs high-sampling-rate audio by combining the time-domain and frequency-domain information of the audio signal, further improving the overall generation quality of the audio.

This invention relates to the field of audio circuit hardware technology, and in particular to a low-latency ARC circuit configuration method and system based on I2S audio switching. External video data is received through an ARC circuit compatibility interface and input to a video conversion chip for data separation, achieving synchronous separation of I2S audio signals and MIPI video signals. The separated I2S audio signals are then simulated and sent to the host SOC and external I / O terminals respectively by a first-stage audio switching chip. Through link delay analysis and instantaneous delay judgment, the audio path is dynamically configured to achieve switching control between the internal processing path and the direct path. A second-stage audio switching chip realizes multi-channel audio multiplexing and direct transmission simulation, achieving a low-latency, highly compatible ARC audio output scheme while ensuring audio and video timing alignment. This invention can significantly reduce the direct transmission latency of ARC audio while ensuring audio and video synchronization and system compatibility, and improves the flexibility and reliability of audio path configuration.

The invention provides a data sampling device of a control system, the control system and a data sampling method, and the system comprises a sampling module which comprises a plurality of sampling channels; the control module is used for sequentially triggering the plurality of sampling channels to start sampling in each triggering period; the trigger time delay between the adjacent triggered sampling channels is less than the sampling period of the sampling channels. The method comprises the following steps: in each triggering period, sequentially triggering a plurality of sampling channels to start sampling; wherein the trigger time delay between the adjacent triggered sampling channels is smaller than the sampling period of the sampling channels; and sequentially receiving data output by the plurality of sampling channels. According to the technical scheme, the sampling delay is reduced through parallel interval sampling of the multiple sampling channels, the method can be applied to a high-frequency control system, and the control effect is improved.

The invention relates to a data set decomposition-based large language model training method, which comprises the following steps of: performing token processing on an original document in a training data set to obtain a one-dimensional token sequence and calculating an original length; performing binary decomposition on the original length, splitting the token sequence into sub-token sequences, storing the sub-token sequences in buckets according to the length, and adding an original document traceability identifier; calculating a single sampling number of each effective bucket, and configuring a sampling probability; executing random sampling according to the sampling probability, and performing homologous constraint splicing to generate a training batch; and inputting the training batch into the to-be-trained large language model, and performing fine adjustment on the sampling probability adjustment rule and the training hyper-parameter according to the results of the conventional reference performance evaluation, the long context capability evaluation and the training efficiency evaluation. By means of the large language model training method based on data set decomposition, cross-document attention interference can be reduced, calculation waste can be reduced, and training efficiency can be improved.

The invention discloses an enhanced imaging method for a microwave ESM sparse scanning system, and the method comprises the steps: obtaining the amplitude and phase information of a part of radiation sources on a far-field sampling plane, and obtaining sparse sampling data; on the basis, an image reconstruction problem is converted into a sparse optimization problem on a gradient domain by using total variation regularization, the gradient of the image in a smooth region approaches to zero by applying gradient constraint, and a relatively large gradient value is only reserved at a significant feature position. And an alternating direction multiplier method is further adopted to carry out iterative solution on the total variation minimization problem, and complete amplitude and phase information is gradually reconstructed by decomposing and optimizing a target and alternately updating variables. And dynamically adjusting the sampling rate according to the SSIM difference of the reconstructed image between adjacent iterations, and stopping sampling in advance when the SSIM value is higher than the quality threshold and the change tends to be stable. And finally, transforming the reconstructed amplitude and phase information through a far and near field inversion algorithm to obtain a near field diffraction pattern of the radiation source, and completing high-precision positioning and imaging of the radiation source.

The application provides a symbol interval length measurement method and device of a low carrier frequency CPFSK signal and an electronic device, acquires additional phase information through IQ demodulation and generates a modulation absolute frequency curve, accurately determines a symbol interval starting point and an ending point by using a waveform intermediate value, and realizes measurement of an instantaneous symbol interval length; secondly, when the carrier frequency is lower than a preset threshold, the demodulation center frequency is offset from the carrier frequency to a target frequency, the maximum analysis bandwidth is expanded to twice the offset center frequency, thereby breaking through the limitation of twice the carrier frequency bandwidth, improving the sampling rate and time resolution capability. Thus, under the condition of a low carrier frequency, a high-resolution symbol interval length measurement result can still be obtained.

The invention discloses a circuit breaker stroke curve test system and method, the test system comprises a stable light source, an emission collimator, a circuit breaker moving part, a receiving collimator, an optical power acquisition loop and a processing unit, the output of the stable light source is connected to the tail part of the emission collimator through an optical fiber, the emission collimator and the receiving collimator are oppositely arranged, and the optical power acquisition loop is connected with the processing unit. A gap for movement of a moving part of the circuit breaker is reserved between the transmitting collimator and the receiving collimator; the tail part of the receiving collimator is connected to an optical power acquisition loop through an optical fiber; and the optical power acquisition loop transmits data to a processing unit. According to the test system and method, the online test of the state of the circuit breaker can be realized. The sensor is not mechanically or electrically connected with a circuit breaker operating mechanism, and has the advantages of high sampling rate, strong anti-interference capability, small installation size and the like.

The present invention discloses a low-cost, distributed RFID-based human motion recognition method and system. The method includes sending an excitation signal and a coding signal through a transmitter; the excitation signal is used to activate an RFID tag; the coding signal is used to instruct the RFID tag to send a reflection signal; the reflection signal is received by at least one receiver; the reflection signal has different phases after being reflected by different human motions; after eliminating the carrier frequency offset, self-interference and random phase of the reflection signal, the phase information in the reflection signal is extracted; the phase information is input into a trained classifier to obtain the human motion corresponding to the phase information output by the classifier; the classifier stores the mapping relationship between phase information and human motion. The solution provided by the present invention can reduce costs, increase signal sampling rate, and thus improve the detection accuracy of the system.

The application discloses a fault detection device based on fast edge pulse frequency scanning, comprising: a digital code type generation module configured to generate a controllable square wave signal based on a preset fast edge pulse period; a delay line module configured to apply two different delay times to the controllable square wave signal to obtain two delay signals; a combination logic module configured to perform logic operation on the two delay signals to obtain a fast edge pulse signal; a signal shaping module configured to shape the fast edge pulse signal; a signal synthesis and distribution module for synthesizing the shaped signal; a collection and spectrum analysis module configured to obtain an input reference spectrum and an output spectrum; and an ADC data processing module configured to calculate a frequency response function based on the input reference spectrum and the output spectrum, and a host computer configured to obtain a fault condition of a measured system according to the spectrum result. The application effectively reduces the system hardware cost and implementation complexity while improving the frequency scanning capability.

The present invention provides a curved transparent object imaging system, wherein a first coupler sends one path of a laser signal to an imaging device, and sends the other path to a third coupler after delay processing; the imaging device irradiates the laser signal to a position on the curved transparent object, and the laser signal is transmitted to the second coupler after passing the position on the curved transparent object; the second coupler converts one path of the laser signal it receives into an optical path electrical signal through a detector and a signal collector, and transmits the other path to the third coupler; some spectral components are coupled at the third coupler to generate an interference optical signal with the maximum light intensity; a processing device determines the detection optical path of the spectral component of the corresponding wavelength according to the moment when the optical path electrical signal is received, and determines the distance between the position on the curved transparent object and the laser signal exit point on the imaging device and the thickness at the position according to the wavelength of the spectral component corresponding to the corresponding interference electrical signal and the determined corresponding detection optical path.

The application relates to the technical field of motor control, and particularly discloses a resolver software decoding method based on an MCU and a device thereof, the decoding device comprising an MCU, an amplification circuit, two conditioning circuits, two multipliers and two low-pass filters; the MCU comprises a timer, a DAC module, a first ADC module and a second ADC module; the DAC module is connected with a primary side winding of a resolver, a first input end of a first multiplier and a first input end of a second multiplier through the amplification circuit; two secondary side windings of the resolver are connected with a second input end of the first multiplier and a second input end of the second multiplier; and an output end of the first multiplier is connected with the first ADC module through a first filter and a first conditioning circuit, and an output end of the second multiplier is connected with the second ADC module through a second filter and a second conditioning circuit. The application can reduce the cost of a resolver shaft angle calculation system and realize high-precision shaft angle calculation.

The present application relates to a kind of three-stage pipeline type successive approximation analog-digital converter, SAR ADC circuit includes first stage sub-SAR ADC module, second stage sub-SAR ADC module and third stage sub-SAR ADC module connected in turn, shared residual operational amplifier includes two independent first differential input stage and second differential input stage;First stage sub-SAR ADC module, for sampling quantization input signal output first residual signal;First differential input stage, for amplifying first residual signal;Second stage sub-SAR ADC module, for sampling quantization amplified first residual signal after first differential input stage, output second residual signal;Second differential input stage, for amplifying second residual signal;Third stage sub-SAR ADC module, for sampling quantization amplified second residual signal after second differential input stage and output.Two-stage sub-SAR ADC module share a shared residual operational amplifier and amplify, effectively save the area of analog-digital converter overall circuit and reduce power consumption.

This invention provides a three-dimensional quantitative analysis method, medium, and system for millimeter-level cracks on infrastructure surfaces, belonging to the field of crack detection technology. The invention identifies crack contours using a minimum cut-maximum flow-based crack-background segmentation algorithm, extracts the crack skeleton centerline using an ant colony optimization algorithm, and performs network connectivity and branch identification of the crack network through a crack topology connectivity optimization model. Cracks are classified according to their direction angle and length characteristics. Inclined laser scanning lines are set in the crack cross-section area to form cross-scan coverage. Weak echo signals are amplified by adaptive gain and supplemented with neighborhood depth interpolation to complete missing depth data. This accurately calculates the cross-sectional crack width and depth, solving the technical problem of inaccurate crack depth measurement due to missing bottom point cloud data caused by laser occlusion in deep and narrow cracks.

The invention discloses a domestic switch chip high-speed signal quality evaluation method, device, medium and system, and belongs to the field of embedded systems, and the method comprises the following steps: reporting a PortWrite event for a domestic switch chip, and carrying out random sequence error rate test on lane of the switch chip by using a pseudo-random binary sequence PRBS generator of a 1800 chip. The method has the advantages of low cost, simplicity in operation and accurate result.

The application discloses an industrial sensor data anomaly detection and repair method based on an attention mechanism, belongs to the technical field of industrial data processing, and carries out preprocessing on original data to obtain standardized data segments, a training set and a test set; end-to-end collaborative training is carried out on the training set to obtain a dynamic space-time attention detection model and a multi-scale self-attention repair model; the standardized data segments are input into the dynamic space-time attention detection model for anomaly detection to obtain abnormal related information; the standardized data segments and the abnormal related information are input into the multi-scale self-attention repair model for data repair to obtain repaired data; secondary verification and parameter fine-tuning operations are performed on the repaired data to obtain compliant repair data; and the POT algorithm is used to dynamically adjust an abnormality judgment threshold value, and normal industrial sensor data or compliant repair data is output. By using the above method, accurate detection and compliant repair of industrial sensor data anomalies are realized.

The invention discloses a near-infrared signal quality optimization method, system and device and a storage medium, and the method comprises the steps: collecting a near-infrared light intensity signal, carrying out the filtering processing of the near-infrared light intensity signal, extracting a heart rate frequency band signal, calculating the power spectrum energy of the heart rate frequency band signal, judging whether the power spectrum energy is lower than a preset threshold value or not, and if the power spectrum energy is lower than the preset threshold value, carrying out the filtering processing of the near-infrared light intensity signal; if yes, increasing the sampling rate of the near-infrared light intensity signal, and if not, calculating a dynamic amplitude ratio and a correlation coefficient between an oxygen-containing hemoglobin signal and a deoxidized hemoglobin signal in the near-infrared light intensity signal based on a preset first algorithm; the near-infrared light intensity signal with the dynamic amplitude ratio and the correlation coefficient not meeting the preset range value is corrected to obtain a corrected signal, quality evaluation is performed on the corrected signal, and the corrected signal with the quality evaluation score exceeding the preset score value is output, so that automatic processing and quality analysis are performed on the collected signal, manual intervention is reduced, and the detection efficiency is improved. Real-time feedback is improved, and invalid experiments are avoided.

An image acquisition device based on terahertz signals, an image generation system and method, the image acquisition device comprising: a swing reflection plate adapted to reflect terahertz wave signals emitted in a sampling area including a target to be measured; a lens assembly adapted to focus the terahertz wave signals reflected by the swing reflection plate; a radiometer array including n rows of radiometers installed on the focal plane of the lens assembly, the n rows of radiometers being configured to sample the terahertz wave signals emitted by the target to be measured and reflected by the swing reflection plate at the same height, wherein n>=2, and the terahertz wave image has both high resolution and contrast.

The invention provides a true random sequence generation circuit, a true random number generator and a memory. The true random sequence generation circuit comprises a low-frequency oscillator, a first high-frequency oscillator and a double-edge sampling circuit, a low frequency oscillator configured to generate a low frequency pulse signal; a first high frequency oscillator configured to generate a first high frequency pulse signal; the periodic jitter value of the low-frequency pulse signal is greater than the oscillation period value of the first high-frequency pulse signal; and the double-edge sampling circuit is connected with the low-frequency oscillator and the first high-frequency oscillator, and is configured to receive the low-frequency pulse signal and the first high-frequency pulse signal, sample the first high-frequency pulse signal according to the low-frequency pulse signal and an inversion signal of the low-frequency pulse signal, and output a first true random sequence.

The invention discloses an inverter power supply outgoing line fault protection method, device and equipment and a storage medium, and relates to the technical field of power grid fault protection. The specific scheme comprises the following steps: respectively acquiring voltage samples and current samples of two relay protection devices; determining that a fault occurs; for each relay protection device, calculating a voltage fault component and a current fault component according to the voltage sample and the current sample; determining a voltage fault modulus and a current fault modulus according to the voltage fault component and the current fault component; determining a fault relative direction corresponding to the relay protection device according to the voltage fault modulus and the current fault modulus; and determining that the fault is located between the two relay protection devices according to the fault relative directions of the two relay protection devices, and sending a protection instruction for indicating protection tripping to the two relay protection devices. According to the invention, various problems on the inverter type power supply outgoing line in the prior art can be solved, and the reliability of fault protection of the inverter type power supply outgoing line is improved.

The present application relates to a kind of motor train unit net pressure zero-crossing rapid detection system and method, system includes the net pressure acquisition circuit of acquisition analog net pressure signal, the analog-digital converter of the analog net pressure signal into digital net pressure signal, FPGA;FPGA is sampled to the digital net pressure signal sent by analog-digital converter, and the sampled digital net pressure signal is carried out sliding window filtering and FIR filtering and obtains the sine wave net pressure signal of frequency 50Hz;Zero-crossing detection module is set in FPGA, zero-crossing detection module is set to: when reaching the preset threshold T of continuous net pressure data greater than zero, mark Flag=1;When reaching the preset threshold T of continuous net pressure data less than zero, mark Flag=0;When the continuous preset threshold N packet net pressure data less than zero, then output zero-crossing interrupt signal.The present application can be real-time fast and accurately detect motor train unit net pressure zero-crossing, so that motor train unit still maintains normal operation in the case where net pressure distortion is serious.

The utility model discloses a high-speed multi-phase clock generation circuit and electronic equipment, and belongs to the technical field of wired optical communication. The high-speed multi-phase clock generation circuit comprises a ring oscillator group 1, a phase insertion resistor group 2 and a bridging resistor group 3, the ring oscillator group 1 comprises four ring oscillators 10, and each ring oscillator 10 comprises four phase inverters 100 which are connected end to end and form a closed loop; in a ring oscillator 10, the output end of each phase inverter 100 is connected with a phase node, and the phase difference of clocks output by two adjacent phase nodes is 90 degrees; four phase insertion resistors 20 which are connected in series are inserted between the input end and the output end of each phase inverter 100, a phase node between every two adjacent phase insertion resistors 20 generates a clock phase, and the difference between the clock phases generated by every two adjacent phase nodes is 22.5 degrees; and phase nodes for outputting corresponding clock phases in the four ring oscillators 10 are connected and coupled through a bridging resistor 30.