Title :
Universal denoising for the finite-input-general-output channel
Author :
Dembo, Amir ; Weissman, Tsachy
Author_Institution :
Dept. of Stat. & Math., Stanford Univ., CA, USA
fDate :
27 June-2 July 2004
Abstract :
This paper describes the universal denoising for the finite-input-general-output channel. The present work is in the case where the components of the underlying noise-free signal are still finite valued, yet their noisy observations take values in a general alphabet. This channel is assumed as discrete memoryless in this case. A discrete signal corrupted by a known discrete memoryless channel can be asymptotically optimal and practically denoised with no a-priori knowledge of statistical (or any other) properties of the signal.
Keywords :
memoryless systems; signal denoising; statistical distributions; telecommunication channels; discrete signal corruption; finite-input-general-output channel; memoryless channel; noise-free signal; statistical signal property; universal denoising; Density measurement; Loss measurement; Mathematics; Memoryless systems; Noise reduction; Statistical distributions; Statistics; Stochastic processes;
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN :
0-7803-8280-3
DOI :
10.1109/ISIT.2004.1365236
