36results about How to "Less sampled data" patented technology

The invention provides a touch-sensitive scanning detection method and a system, as well as a capacitive touch sensor, which are applicable to the field of touch sensors. The method comprises the following steps: firstly, detecting out a sensing electrode on a capacitive touch sensor unit, corresponding to a touch position; then driving a drive electrode in a cross coupling way; conducting detection scanning on the sensing electrode in a targeted way; and finally determining the touch position. Without the need of detecting the touch sensor units on a capacitive touch sensor unit matrix one by one, the detection method decreases sampling data, reduces operational workload and achieves the purposes of saving time and power.

The invention discloses a laser radar imaging system based on compressed sensing. A unit APD is adopted for the system, so that the bottleneck that large-scale integration of domestic line array APDs cannot be achieved at present is effectively broken through. The system is formed by a laser emission module, a telescope imaging module, a DMD, a control module, the APD, a synchronization module, a data acquisition module and an image reconstruction module. In the system, pulse laser is emitted to a target through the laser emission module, target reflection echoes are modulated through the DMD, sampling of the unit APD on a time series is achieved through a convergence lens, and finally a three-dimensional image of the target is reconstructed on the basis of a compressed sensing theory by means of related algorithms. The laser radar imaging system based on compressed sensing has the advantages that scanning is not needed, the structure is simple, the data size needed for image reconstruction is small, and detection sensitivity is high.

The invention relates to the digital image processing field and the image fusion algorithm field, for greatly improving the running speed of the whole fusion system on the premise that the quality and detail of the image are not impacted, the data volume of the image is greatly reduced and the amount of the data to be processed for fusion process is promoted. Therefore, according to the technical scheme, the image fusion method of compressed sensing framework comprises following steps: step 1, executing the single layer wavelet decomposition on the image to be fused; step 2, selecting the Gaussian along matrix as the measure matrix, measuring and obtaining the value; step 3, selecting the numerical value corresponding to each point for forming the new matrix; step 4, adopting the principal component analysis method for fusing the high-frequency components of the source images after measured; step 4, obtaining the high-frequency component, which is suitable for the wavelet inverse transform; and step 5, obtaining the fused image. The image fusion method of compressed sensing framework is mainly used for the digital image processing field.

The invention discloses a co-prime down-sampling interrupted synthetic aperture radar sparse imaging method. The method includes: according to a co-prime down-sampling mode and a compressed sensing sparse reconstruction method, adopting two co-prime integers for down-sampling interrupted data acquisition of azimuth pulse count in interrupted synthetic aperture radar to realize pulse co-prime down-sampling interruption of synthetic aperture radar; subjecting synthetic aperture radar data obtained by each prime number to compressed sensing sparse imaging; after two synthetic aperture radar images are obtained, performing grating lobe fusion processing to obtain a final interrupted synthetic aperture radar image, so that co-prime down-sampling interrupted synthetic aperture radar high-accuracy imaging is realized. Compared with a traditional random interrupted mode, the method has the advantage of convenience for system implementation; compared with a traditional interpolation resamplingimaging algorithm, the method has advantages of improvement of interrupted SAR sparse imaging quality, inhibition of sidelobe level in images and the like.

The invention relates to the field of digital image processing, and provides a method capable of effective showing and processing images and other higher spatial data based on compressed sensing and WBCT. The method comprises the following steps that firstly, small-wave based Contourlet transformation is carried out on a to-be-fused image; secondly, a measurement matrix is formed, and measuring is carried out on LH, HL and HH high frequency sub-bands; thirdly, pixel point leveled evaluating is carried out on low frequency components of two source images by the rule adopting the Weighted Average (WA); fourthly, fusion is carried out on measured high frequency components of the two source images by using the principal component analysis; fifthly, reconstitution calculation is carried out on the fused high frequency components by using StOMP; sixthly, inverse transformation is carried out by using WBCT. The method is mainly applied to digital image processing.

The invention discloses a dynamic voltage regulator. The dynamic voltage regulator comprises a first switch tube, a first switch tube anti-parallel diode, a second switch tube, a second switch tube anti-parallel diode, an inductor, a super capacitor group and a controller, wherein the super capacitor group is used as an energy storage unit; and the inductor, the first switch tube, the first switchtube anti-parallel diode, the second switch tube and the second switch tube anti-parallel diode form a bidirectional DC / DC topological circuit for charging and discharging to realize bidirectional energy flow. When the voltage sag of a DC bus of a frequency converter is detected, the given formula is adopted to obtain a first drive signal and output the first drive signal to the first switch tube, and the on-off state of the first switch tube is controlled, so that the super capacitor group supplies power. The dynamic voltage regulator has simple structure, small volume and low cost.

The invention discloses an image reconstruction method of a laser radar imaging system based on compressed sensing. The laser radar imaging system in the method adopts a unit avalanche photodiode APD, and the bottleneck that the present domestic linear array avalanche photodiode cannot be integrated in a large scale is effectively broken. The system is composed of a laser transmitting module, a telescope imaging module, a digital micro-mirror device DMD and control module, an avalanche photodiode APD, a synchronization module, a data acquisition module, and an image reconstruction module. Pulse laser is transmitted to targets by the laser transmitting module, and echoes reflected by the targets at different distances are modulated by a digital micro-mirror device DMD; then, the echoes are transmitted to the unit avalanche photodiode APD through a converging lens so as to realize sampling in time sequence; and finally, the three-dimensional image of each target is reconstructed by a subsequent image reconstruction method. The image reconstruction method has the following advantages: no scanning is needed, the structure is simple, only a small amount of data is required for image reconstruction, and the detection sensitivity is high.

The invention belongs to the field of onboard embedded software, and relates to an automatic fault detection method of an audio circuit, solving the detection problem of an onboard audio acquisition circuit fault. Compared with an existing detection method, the detection method provided by the invention has the advantages of being quick, convenient to transplant, low in cost and convenient to achieve automation, and specifically comprises the steps of 1, modeling a time sequence of an audio signal; 2, defining a radian concept to express a waveform variation trend of audio data; 3, compressingthe audio data by using trend importance; 4, computing a trend deviation and an amplitude deviation of the audio signal; and 5, defining similarity to judge whether the audio acquisition circuit breaks down.

The invention relates to a method for the quality soft sensing of a fermentation pharmaceutical product based on GP study modeling, which comprises the following steps: 1) acquiring a historical data set L of a fermentation pharmaceutical process, wherein the data set L consists of not more than 200 data samples {x , y} at acquiring moments, wherein x is a generalized input vector for a model, and y is a quality vector of a fitting forecast; 2) making use of a GP learning algorithm to establish a model f<*> of key quality indexes of the fitting model; and 3 ) acquiring a process variable x<*> on line, and substituting the process variable x<*> into the product quality model f<*> so as to obtain a real-time forecast product quality index. The invention provides the method for the quality soft sensing of the fermentation pharmaceutical product based on the GP study modeling, which has very high modeling precision and high measurement accuracy.

The invention discloses a dynamic voltage regulator, a controller and a dynamic voltage regulation method. The dynamic voltage regulator comprises a first switch transistor, a first switch transistorantiparallel diode, a second switch transistor, a second switch transistor antiparallel diode, an inductor, a supercapacitor group and the controller. The first switch transistor and the first switchtransistor antiparallel diode are connected in parallel. The second switch transistor and the second switch transistor antiparallel diode are connected in parallel. The supercapacitor group is taken as an energy storage unit. The inductor, the first switch transistor, the antiparallel diode thereof, the second switch transistor, and the antiparallel diode thereof form a bidirectional DC / DC topology circuit for charge / discharge, and bidirectional energy flow is realized. In the mode, the dynamic voltage regulator is simple in structure, small in size and low in cost.

The invention discloses a parallel magnetic resonance imaging algorithm based on conjugation and interlayer information. The algorithm comprises the steps of carrying out the R-time undersampling of agradient positive high-frequency part and a gradient negative high-frequency part of an imaging object, taking a middle low-frequency part as a calibration region, carrying out full sampling, and obtaining a matrix F; constructing a prediction matrix A of the undersampled data; constructing a weight calculation matrix B by utilizing the calibration areas of the matrix F of the current layer and the adjacent layer; constructing a column vector matrix C of the weight calculation matrix B; obtaining the column vector matrix C according to the product of the weight calculation matrix B and a weight matrix W, and fitting by adopting a least square method to obtain the weight matrix W in an interpolation window; constructing a prediction matrix D of the undersampled row data; obtaining a columnvector E according to the product of the prediction matrix D and the weight matrix W in the interpolation window; and filling to obtain a reconstruction matrix H, and carrying out Fourier transform to obtain an image of parallel magnetic resonance imaging. The method has the advantages of being high in imaging speed, rich in prediction source matrix information amount, high in signal-to-noise ratio and the like.

The invention discloses a co-prime array decomposition and fusion-based three-dimensional SAR sparse imaging method; the method comprises the following steps of firstly, performing a compressed sensing iteration minimization sparse bayesian reconstruction (SBRIM) imaging algorithm on a co-prime array and a sub-array of the co-prime array for imaging separately to obtain three synthetic aperture radar images; and then, fusing the obtained imaging results to obtain a final array decomposition and fusion-based three-dimensional SAR sparse imaging result. According to the method, the advantages ofa co-prime sampling method and a compressed sensing sparse reconstruction method are combined; the sampling data can be reduced by utilizing the co-prime sampling; compared with a traditional randomsampling mode, the method has the advantages that the system is easier to realize; and compared with a traditional sparse imaging method, the method disclosed by the invention can effectively inhibitgrating lobes and false targets and improve the imaging quality.

The invention relates to an image reconstruction method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the K space data of a plurality of phases ofa target perfusion imaging region, obtaining an initial magnetic resonance image corresponding to each K space data, and building a low-rank joint matrix based on each K space data; and taking the K space data, the initial magnetic resonance images and the low-rank joint matrix as inputs of an objective function, solving a value of the objective function, and then determining an output magnetic resonance image corresponding to the value of the objective function when the value of the objective function meets a preset condition as a reconstructed magnetic resonance image corresponding to each of a plurality of phase phases of the target perfusion imaging area. The method can improve the image reconstruction effect and improve the image reconstruction efficiency.

The invention relates to the technical field of signal acquisition, in particular to an AIC time domain integration sampling method and sampling circuit. The sampling period of the time domain integration sampling method is random, so that the limited equidistance characteristic criterion in the compressed sampling principle has random through the random sampling period, a measurement matrix does not need to be constructed, and the hardware implementation difficulty is lowered. By means of the time domain integration sampling method, asynchronous variable frequency sampling is achieved, quantization errors are avoided, and the method has certain adaptability, and sampling data are greatly reduced.

A character sampling method of photograph measure, which includes the following steps: processes the three-dimensional entity sculpt character analysis for the accessories that need to three-dimensional model restructure; ensures the sampling orientation surface according to the basic character condition of the accessories; ensures the moving route of the accessory orientation surface according to the basic character condition of the accessory; processes fault measure to the section of the accessory orientation surface and the moving route by two-dimensional industry CT technology, thereby gets the two-dimensional section contour line and the two-dimensional moving route; achieves the three-dimensional module restructure of the accessory according to the section contour line and the route. The method can get more precision of the sampling and reduce the process speed.

The invention provides a sparse sampling-based holographic magnetic induction chest imaging method and an imaging system. A sparse sampling-based holographic magnetic induction chest imaging system isarranged. In the imaging system, a main control module controls a transceiver array module to switch the transmitting and receiving states through a switching module and controls a magnetic field signal generating module to generate a single-frequency radio-frequency signal; the single-frequency radio-frequency signal is transmitted to the transceiver array module in the form of sinusoidal alternating current through the switching module, eddy current is generated around the target area, and the eddy current generates a scattered magnetic field; the main control module controls at least threecoils to carry out sparse sampling in a random scanning mode, simultaneously measures scattered magnetic field signals from the chest cavity, and transmits the scattered magnetic field signals to animage processing module; the image processing module successively compares the scattered magnetic field signals in pairs and processes the visible scattered magnetic field function obtained by comparison in combination with a compressed sensing method to obtain a reconstructed chest image, and the reconstructed chest image is then displayed.

The invention discloses an equal-interval sampling method for spiral scanning type surface topography measurement. A y-direction linear platform, an x-direction linear platform, a z-direction rotating platform, a z-direction linear platform and a laser differential confocal probe are included, and steps 1-6 applying the equipment are also disclosed. Compared with the prior art, the equal-interval sampling method for spiral scanning type surface topography measurement has the advantages that 1) through the equal-interval sampling method, the sampling points on the spiral line are uniformly distributed, each ring of spiral wire does not need so many sampling points, so that the number of the sampling points can be greatly reduced, the sampling data is greatly reduced, therefore, the sampled data occupies less computer memory; and 2) according to the equal-interval sampling method, under the condition that the three-dimensional morphology imaging results are not distorted, the number of sampling points of the equal-interval sampling method is less than that of sampling points of an isochronous sampling method, so that data processed by a computer during three-dimensional morphology imaging is less, and the time consumed by three-dimensional morphology imaging is less.

The invention belongs to the field of structural health monitoring, and relates to a piezoelectric admittance-based data compression reconstruction and structural damage identification method and a device. The method comprises the following steps: acquiring original conductance data, and performing maximum and minimum normalization processing on the original conductance data; compressing the processed sampling data by using a compressed sensing theory, performing linear transformation on the data through a random matrix, and converting a problem of recovering an original signal into a residualiteration problem; reconstructing the conductance data based on an adaptive orthogonal matching pursuit algorithm of optimized sparsity parameter analysis; and carrying out damage diagnosis on the structure by utilizing the root-mean-square deviation and the correlation coefficient obtained by the reconstruction data. According to the method, damage identification based on a piezoelectric admittance technology and a data compression algorithm based on an orthogonal matching pursuit algorithm can be effectively combined, damage of different types of structures can be effectively identified, and the method is still effective under the condition that a sensor carries out damage operation.

The invention relates to the technical field of power electronic circuit digital control, in particular to a digital control system and method for a three-level PFC circuit. The digital control system comprises an input phase current sampling module, an output voltage and current sampling module, an analog-digital conversion module, a control quantity operation module and a PWM generation module. After being converted by the analog-digital conversion module, an output voltage signal generates voltage control factors through the control quantity operation module; after being converted by the analog-digital conversion module, an output current signal generates frequency selection factors through the control quantity operation module; after being converted by the analog-digital conversion module, the input phase current generates switch tube control factors through the control quantity operation module; the voltage control factors, the frequency selection factors and the switch tube control factors form PWM control quantity through the PWM generation module. According to the digital control system and method for the three-level PFC circuit, output positive and negative bus voltage balance is achieved, and high power factors can be obtained when loads in different levels exist.

The invention relates to the technical field of power electronic circuit digital control, in particular to a digital control system and method for a three-level PFC circuit. The digital control system comprises an input phase current sampling module, an output voltage and current sampling module, an analog-digital conversion module, a control quantity operation module and a PWM generation module. After being converted by the analog-digital conversion module, an output voltage signal generates voltage control factors through the control quantity operation module; after being converted by the analog-digital conversion module, an output current signal generates frequency selection factors through the control quantity operation module; after being converted by the analog-digital conversion module, the input phase current generates switch tube control factors through the control quantity operation module; the voltage control factors, the frequency selection factors and the switch tube control factors form PWM control quantity through the PWM generation module. According to the digital control system and method for the three-level PFC circuit, output positive and negative bus voltage balance is achieved, and high power factors can be obtained when loads in different levels exist.

The invention discloses a quantitative method for the chemical exchange saturation transfer effect of a living body. The B0 distribution map of the main magnetic field is obtained by sampling; without applying a gradient, the chemical exchange sites of exchangeable protons are selectively saturated by saturation pulses, and the first is obtained by sampling. Signal intensity; applying a gradient while selectively saturating the chemical exchange sites of the exchangeable protons by a saturation pulse, sampling to obtain a second signal intensity; without applying a gradient or a saturation pulse, sampling to obtain an initial signal intensity; calculating normalization chemical exchange saturation transfer effect. The method of the invention has important practical value, can be applied to animals and human bodies, and the quantitative result is not affected by the magnetization transfer effect and the nuclear Euclidean effect in the living body.

An embodiment of the invention provides a DDoS (distributed denial of service) attack detection method and device and relates to the technical field of communications for detecting DDoS attack rapidlyand accurately. The method includes: making statistics on the total number of target messages received within various periods; calculating variation of the total number of current messages; taking the variation of the total number of the current messages as an absolute value of the difference of the total number of the target massages received in the current period and the previous period; judging whether the variation of the total number of the current massages meets a first preset condition or not, and if yes, making statistics on the proportion of the target massages sent by autonomous systems in the target massages received in the periods; calculating the variation in distribution of the current massages; taking the variation in distribution of the current massages as the sum of an absolute value of the difference of the proportion of the target massages sent in the current period or the previous period by the autonomous systems; judging whether the variation in distribution of the current massages meets a second preset condition or not, and if yes, determining existence of the DDoS attack. The DDoS attack detection method and device is applied to DDoS attack detection.

The invention relates to a baseband signal generation method and device, electronic equipment and a readable storage medium, belongs to the technical field of electronic countermeasure simulation training signal generation, and solves the problem of low baseband signal generation efficiency in the prior art. The method comprises the following steps: generating a plurality of alternative baseband sampling rates according to a final sampling rate; in the alternative baseband sampling rates, determining the baseband sampling rate corresponding to each signal feature according to the signal feature, and forming a baseband sampling group by the signals with the same baseband sampling rate; enabling each baseband sampling group to independently generate a signal. According to the technical scheme, the baseband signal generation efficiency is improved, and storage and communication resources are saved.

The present invention discloses and proposes a three-dimensional SAR sparse imaging method based on the decomposition and fusion of coprime arrays. In the method, the coprime array and the subarrays of the coprime array are firstly reconstructed by compressive sensing iterative minimization of sparse Bayesian reconstruction. The (SBRIM) imaging algorithm performs imaging separately to obtain three synthetic aperture radar images, and then fuses the obtained imaging results to obtain the final 3D SAR sparse imaging result based on array decomposition and fusion. The present invention combines the advantages of the coprime sampling method and the compressed sensing sparse reconstruction method. The coprime sampling method can not only reduce the sampling data, but also is easier to realize systematically than the traditional random sampling method; compared with the traditional sparse imaging method, the method of the present invention can Effectively suppress grating lobes and false targets and improve imaging quality.

The invention provides a periodic interference torque identification and compensation method, which is used for phase identification and torque compensation of the periodic interference torque received by the satellite, applying a control torque with a fixed amplitude and a known period to the satellite, and compensating the moment on the satellite. The flywheel sends a feedforward compensation torque command to arbitrarily specify the initial phase of the compensation torque, including: measuring the satellite angular velocity in real time and extracting the angular velocity fluctuation range; when the angular velocity fluctuation range is greater than the first preset threshold, it is determined that phase shift control is required , carry out phase scanning with the initial phase as the starting point, during the phase scanning process, update the feedforward compensation torque according to the current phase; when the angular velocity fluctuation range is reduced to the second preset threshold, it is determined to end the phase movement control, and the current phase is For the disturbance torque phase, the feedforward compensation torque is updated according to the disturbance torque phase. The invention can realize the identification and compensation of the periodic interference moment of the satellite, and improve the control precision of the satellite.

The invention belongs to the field of structural health monitoring, and relates to a data compression reconstruction and structural damage identification method and equipment based on piezoelectric admittance. This method collects the original conductance data, and performs maximum and minimum normalization processing on it; uses compressed sensing theory to compress the processed sampling data, and implements linear transformation on the data through a random matrix, transforming the problem of restoring the original signal into a residual The difference iteration problem; the adaptive orthogonal matching pursuit algorithm based on the optimal sparsity parameter analysis is used to reconstruct the conductance data; the root mean square deviation and correlation coefficient obtained from the reconstructed data are used to diagnose the damage of the structure. This method can effectively combine the damage identification based on piezoelectric admittance technology with the data compression algorithm based on orthogonal matching pursuit algorithm, and can effectively identify different types of damage in the structure, and it is still effective in the case of sensor damage.

The invention discloses a laser radar imaging system based on compressed sensing. A unit APD is adopted for the system, so that the bottleneck that large-scale integration of domestic line array APDs cannot be achieved at present is effectively broken through. The system is formed by a laser emission module, a telescope imaging module, a DMD, a control module, the APD, a synchronization module, a data acquisition module and an image reconstruction module. In the system, pulse laser is emitted to a target through the laser emission module, target reflection echoes are modulated through the DMD, sampling of the unit APD on a time series is achieved through a convergence lens, and finally a three-dimensional image of the target is reconstructed on the basis of a compressed sensing theory by means of related algorithms. The laser radar imaging system based on compressed sensing has the advantages that scanning is not needed, the structure is simple, the data size needed for image reconstruction is small, and detection sensitivity is high.