DocumentCode :
128360
Title :
A new design criterion for optimal measurement matrix in compressed sensing systems
Author :
Dan Li ; Huang Bai ; Sheng Li ; Xincai Huang ; Liping Chang
Author_Institution :
Zhejiang Provincial Key Lab. for Signal Process., Zhejiang Univ. of Technol., Hangzhou, China
fYear :
2014
fDate :
9-11 June 2014
Firstpage :
447
Lastpage :
451
Abstract :
This paper deals with the optimal measurement matrix design problem for compressed sensing (CS) systems with a dictionary given. Such a problem is usually formulated as to minimize the distance between the Gram of the equivalent dictionary of the CS systems and a target Gram of nice properties. A new design criterion is proposed, which is defined in terms of three popularly used target Grams. An algorithm is derived to solve the corresponding design problem. Extensive experiments have been carried out and the simulation results have demonstrated the superiority of the new proposed method.
Keywords :
compressed sensing; Gram; compressed sensing systems; design criterion; nice properties; optimal measurement matrix; Accuracy; Coherence; Compressed sensing; Dictionaries; Error analysis; PSNR; Compressed Sensing; measurement matrix; mutual coherence; tight frame;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4316-6
Type :
conf
DOI :
10.1109/ICIEA.2014.6931205
Filename :
6931205
Link To Document :
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