TY - GEN
T1 - Artificial immune algorithm based signal reconstruction for compressive sensing
AU - Li, Dan
AU - Shi, Chunli
AU - Wang, Qiang
AU - Shen, Yi
AU - Wang, Yan
PY - 2014
Y1 - 2014
N2 - The core of compressive sensing, i.e., signal reconstruction, is a constraint of signal sparsity problem, which can be implemented by l0 norm minimization. But l0 norm minimization requires exhaustively listing all possibility of the original signals, which is an NP-hard problem to achieve difficultly by traditional algorithm.This paper proposes a signal reconstruction algorithm based on artificial immune algorithm, which can solve l0 norm minimization directly. It has been proved through numerical simulations that performance of signal reconstruction and photo-Acoustic image reconstruction based on the proposed method is superior to that of OMP algorithm.
AB - The core of compressive sensing, i.e., signal reconstruction, is a constraint of signal sparsity problem, which can be implemented by l0 norm minimization. But l0 norm minimization requires exhaustively listing all possibility of the original signals, which is an NP-hard problem to achieve difficultly by traditional algorithm.This paper proposes a signal reconstruction algorithm based on artificial immune algorithm, which can solve l0 norm minimization directly. It has been proved through numerical simulations that performance of signal reconstruction and photo-Acoustic image reconstruction based on the proposed method is superior to that of OMP algorithm.
KW - Artificial Immune Algorithm
KW - Compressive sensing
KW - Signal reconstruction
UR - https://www.scopus.com/pages/publications/84905689340
U2 - 10.1109/I2MTC.2014.6860526
DO - 10.1109/I2MTC.2014.6860526
M3 - 会议稿件
AN - SCOPUS:84905689340
SN - 9781467363853
T3 - Conference Record - IEEE Instrumentation and Measurement Technology Conference
SP - 76
EP - 81
BT - 2014 IEEE International Instrumentation and Measurement Technology Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Sustainable Development, I2MTC 2014
Y2 - 12 May 2014 through 15 May 2014
ER -