Compressed sensing method based on minimum correlation measurement matrix

The invention discloses a compressed sensing method based on a minimum correlation measurement matrix. The method comprises the following steps of S01, acquiring an original signal to be processed; S02, generating a small quantity of measurement matrixes via an algorithm program; S03, generating mor...

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Bibliographic Details
Main Authors TANG CHUANQUAN, YU TIANYI, NING YUE, CHU NING, WU DAZHUAN
Format Patent
LanguageChinese
English
Published 29.06.2018
Subjects
BASIC ELECTRONIC CIRCUITRY
CODE CONVERSION IN GENERAL
CODING
DECODING
ELECTRICITY
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Summary:The invention discloses a compressed sensing method based on a minimum correlation measurement matrix. The method comprises the following steps of S01, acquiring an original signal to be processed; S02, generating a small quantity of measurement matrixes via an algorithm program; S03, generating more measurement matrixes via a linear combination; S04, screening in all the measurement matrixes viaoperation of an uncorrelated operator to generate the certain quantity of measurement matrixes with minimum correlation; S05, performing compressed sensing treatment on the original signal via the screened measurement matrixes to acquire an observation signal; and S06, using a signal reconstruction algorithm to reconstruct the original signal via the observation signal and the measurement matrixes. By using the method provided by the invention, the accuracy of the reconstructed signal in the compressed sensing algorithm can be improved, and the method is universally applicable to various measurement matrixes and vario
Bibliography:Application Number: CN2018178771