Title :
A class of iterative signal restoration algorithms
Author :
Noonan, Joseph P. ; Natarajan, Prcmkumar ; Achour, Baaziz
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Tufts Univ., Medford, MA, USA
Abstract :
Iterative methods have of late enjoyed increasing popularity in signal restoration problems. Inherent mathematical difficulties have led researchers to propose ad hoc solutions in many instances. The question of optimality of such solutions is an open one. This paper concerns this question for a class of iterative methods of signal restoration and offers a criterion for optimality based on information theory
Keywords :
information theory; iterative methods; optimisation; signal restoration; information theory; iterative signal restoration algorithms; mapping function; mathematical difficulties; optimality; Acoustic noise; Distortion; Image restoration; Iterative algorithms; Iterative methods; Mutual information; Robustness; Signal processing; Signal processing algorithms; Signal restoration;
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
DOI :
10.1109/ISIT.1995.531319
