35results 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 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 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.