DocumentCode
353596
Title
A level-set subgradient projection algorithm for non-differentiable signal restoration with multiple constraints
Author
Luo, Jian ; Combettes, Putrick L.
Author_Institution
City Coll., City Univ. of New York, NY, USA
Volume
1
fYear
2000
fDate
2000
Firstpage
225
Abstract
An new adaptive level-set subgradient projection algorithm is proposed to solve non-differentiable signal recovery problems with multiple convex constraints. The algorithm is described, its convergence is established, and its implementation is discussed. Applications to constrained total variation signal restoration and denoising are demonstrated
Keywords
adaptive signal processing; image restoration; interference suppression; iterative methods; noise; adaptive level-set subgradient projection algorithm; constrained total variation signal restoration; convergence; denoising; multiple constraints; nondifferentiable signal recovery problems; nondifferentiable signal restoration; Cities and towns; Convergence; Cost function; Educational institutions; Level set; Minimax techniques; Noise reduction; Optimization methods; Projection algorithms; Signal restoration;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location
Istanbul
ISSN
1520-6149
Print_ISBN
0-7803-6293-4
Type
conf
DOI
10.1109/ICASSP.2000.861924
Filename
861924
Link To Document