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
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;
Conference_Titel :
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN :
0-7803-1865-X
DOI :
10.1109/SIPNN.1994.344793
