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-fre...Show MoreMetadata
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.
Date of Conference: 27 June 2004 - 02 July 2004
Date Added to IEEE Xplore: 10 January 2005
Print ISBN:0-7803-8280-3
Departments of Statistics and of Mathematics, University of Stanford, Stanford, CA, USA
Departments of Statistics and of Mathematics, University of Stanford, Stanford, CA, USA
Contents Departments of Statistics and of Mathematics, University of Stanford, Stanford, CA, USA
Departments of Statistics and of Mathematics, University of Stanford, Stanford, CA, USA
