A Compressed Sampling and Reconstruction Method of High-speed Nuclear Signal
A technology for compressing sampling and nuclear signals, which is applied in the field of signal processing and can solve the problems of measurement time measurement accuracy limitation and power consumption.
Active Publication Date: 2022-07-26
SICHUAN UNIVERSITY OF SCIENCE AND ENGINEERING
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[0008] The purpose of the present invention is to provide a high-speed nuclear signal compression sampling and reconstruction method, which mainly solves the limitation of the Shannon digital sampling method existing in the prior art on the measurement accuracy of the nuclear signal measurement time and the power consumption, cost and high sampling rate. big data problem
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[0039] like Figure 1 to Figure 7 As shown, a compression sampling and reconstruction method of a high-speed nuclear signal includes the following steps:
[0040] Introduce compressed sensing theory into the acquisition of high-speed nuclear signals, establish an over-complete atomic library suitable for asymmetric nuclear signals, and optimize the sparse representation of nuclear signals; adopt a compressed sampling scheme suitable for high-speed nuclear signals; solve the problem of high sampling rate for nuclear signals The constraint of improving the measurement accuracy reduces the amount of redundant data on the premise of ensuring complete nuclear signal information. The specific steps are:
[0041] The first step is to establish the optimal overcomplete atom library to adapt to the asymmetric nuclear signal; for the problem of high time complexity of the typical sparse decomposition algorithm-matching pursuit algorithm, the genetic algorithm is combined with the match...
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The invention discloses a high-speed nuclear signal compression sampling and reconstruction method, which mainly solves the limitation of the Shannon digital sampling method in the prior art on the measurement accuracy of nuclear signal measurement time and the power consumption, cost and large data caused by high sampling rate. quantity issue. The method includes (S1) sparsely decomposing the high-speed nuclear signal by using a genetic algorithm and a matching pursuit algorithm; (S2) compressing and sampling the high-speed nuclear signal through a multi-channel random demodulator based on a compressed sensing framework; (S3) using least two The multiplication algorithm reconstructs the high-speed nuclear signal. Through the above solution, the present invention achieves the purpose of reconstructing high-speed nuclear signals, and has high practical value and promotion value.
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technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a compression sampling and reconstruction method of high-speed nuclear signals. Background technique [0002] In 2004, David L Donoho, E. Candès, Terence Tao and others proposed the theory of Compressive Sensing (Compressive Sensing, CS). The theory points out that for sparse signals (signals that can be represented by a linear combination of a few eigenvectors), the original signal can still be accurately recovered by sampling data far below the Shannon sampling standard. Once the theory was put forward, it has received high attention in the fields of wireless communication, radar and medical imaging, and also provided a new method for nuclear data processing and acquisition. [0003] The nuclear signal is discretely distributed on the time axis and has natural sparsity in the time domain, which satisfies the application prerequisites of compressed sensing...
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IPC IPC(8): H03M7/30G06K9/00G06V10/40
CPCH03M7/3062G06V10/40G06V10/513G06F2218/22G06F2218/08
Inventor 王琦标庹先国邓超刘福乐石睿郑洪龙张松柏
Owner SICHUAN UNIVERSITY OF SCIENCE AND ENGINEERING