DocumentCode
2286522
Title
Blind deconvolution using a mixed projection-gradient approach
Author
Yang, Yongyi ; Stark, Henry ; Galatsanos, Nikolm P.
Author_Institution
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
fYear
1994
fDate
13-16 Apr 1994
Firstpage
788
Abstract
In this paper, we present a set theoretic based approach for solving the classical blind deconvolution problem. In this new approach, every piece of available information about both the source function and the system impulse response function is expressed via a constraint set. The proposed algorithm enjoys good convergent properties
Keywords
convergence of numerical methods; numerical analysis; set theory; signal processing; transient response; algorithm; blind deconvolution; constraint set; convergent properties; mixed projection-gradient approach; set theory; source function; system impulse response function; Convolution; Cost function; Deconvolution; Hilbert space; Iterative algorithms; Large-scale systems; Simulated annealing;
fLanguage
English
Publisher
ieee
Conference_Titel
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN
0-7803-1865-X
Type
conf
DOI
10.1109/SIPNN.1994.344793
Filename
344793
Link To Document