Underdetermined Source Separation of Finite Alphabet Signals Via L1 MinimizationReportar como inadecuado




Underdetermined Source Separation of Finite Alphabet Signals Via L1 Minimization - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

1 SC - Département Signal et Communications 2 Lab-STICC - Laboratoire des sciences et techniques de l-information, de la communication et de la connaissance 3 Lab-STICC TB CACS COM Lab-STICC - Laboratoire des sciences et techniques de l-information, de la communication et de la connaissance 4 Lab-STICC TB CID TOMS Lab-STICC - Laboratoire des sciences et techniques de l-information, de la communication et de la connaissance

Abstract : This paper addresses the underdetermined source separation problem of finite alphabet signals. We present a new framework for recovering finite alphabet signals. We formulate this problem as a recovery of sparse signals from highly incomplete measurements. It is known that sparse solutions can be obtained by L 1 minimization, through convex optimization. This relaxation procedure in our problem fails in recovering sparse solutions. However, this does not impact the reconstruction of the finite alphabet signals. Simulation results are presented to show that this approach provides good recovery properties and good images separation performance.

Keywords : Sparse transform Finite alphabet signals Source separation





Autor: Si Mohamed Aziz Sbai - Abdeldjalil Aissa El Bey - Dominique Pastor -

Fuente: https://hal.archives-ouvertes.fr/



DESCARGAR PDF




Documentos relacionados