Adaptive estimation of parameters using partial information of the desired outputs

Joseph, Joby and Hari, KVS (2003) Adaptive estimation of parameters using partial information of the desired outputs. In: TENCON 2003, October 14-17, 2003, Bangalore, India.

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Abstract

A general framework for forming an adaptive algorithm for problems where only partial information about the desired output is available, is proposed. Based on preliminary analysis it can be shown that this framework can be used to efficiently choose deep, narrow minima when there are many local minima. For problems like separation of instantaneous mixtures (Independent Component Analysis, ICA) and separation of convolutive mixtures when cast in the proposed framework is shown to give the same efficient algorithms as those available in the literature.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	©2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords:	MIMO;Adaptive algorithm;ICA;partial information
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	25 Aug 2008
Last Modified:	19 Sep 2010 04:12
URI:	http://eprints.iisc.ac.in/id/eprint/377

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