Title :
Complex-valued sparse representation based on smoothed ℓ0 norm
Author :
Mohimani, G.H. ; Babaie-Zadeh, M. ; Jutten, C.
Author_Institution :
Dept. Of Electr. Eng., Sharif Univ. of Technol., Tehran
fDate :
March 31 2008-April 4 2008
Abstract :
In this paper we present an algorithm for complex-valued sparse representation. In our previous work we presented an algorithm for sparse representation based on smoothed lscrdeg- norm. Here we extend that algorithm to complex-valued signals. The proposed algorithm is compared to FOCUSS algorithm and it is experimentally shown that the proposed algorithm is about two or three orders of magnitude faster than FOCUSS while providing approximately the same accuracy.
Keywords :
signal representation; smoothing methods; FOCUSS algorithm; complex-valued signals; signal processing; smoothed lscrdeg norm; sparse representation; Communications technology; Computational efficiency; Decoding; Dictionaries; Equations; Iterative algorithms; Matching pursuit algorithms; Minimization methods; Signal processing algorithms; Statistics; complex-valued sparse component analysis; over-complete atomic decomposition;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4518501
