A Class of novel blind source extraction algorithms based on a linear predictor

Wei Liu; Danilo P. Mandic; Andrzej Cichocki

doi:10.1109/ISCAS.2005.1465408

A Class of novel blind source extraction algorithms based on a linear predictor

Wei Liu
, Danilo P. Mandic
, Andrzej Cichocki

Research output: Journal article publication › Conference article › Academic research › peer-review

21 Citations (Scopus)

Abstract

A rigorous analysis of the performance of a blind source extraction structure based on a linear predictor is provided. It is shown that by minimising the mean square prediction error, it is only possible to reach a solution subject to an arbitrary orthogonal transformation, in a manner similar to the principal component analysis. To remove this uncertainty, we propose a new cost function which caters for the ambiguous power levels of the source signals. A novel adaptive blind source extraction algorithm is derived and an alternative method with prewhitening is also introduced. Simulation results verify the proposed algorithms.

Original language	English
Article number	1465408
Pages (from-to)	3599-3602
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
DOIs	https://doi.org/10.1109/ISCAS.2005.1465408
Publication status	Published - Jul 2005
Event	IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan Duration: 23 May 2005 → 26 May 2005

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/ISCAS.2005.1465408

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abstract = "A rigorous analysis of the performance of a blind source extraction structure based on a linear predictor is provided. It is shown that by minimising the mean square prediction error, it is only possible to reach a solution subject to an arbitrary orthogonal transformation, in a manner similar to the principal component analysis. To remove this uncertainty, we propose a new cost function which caters for the ambiguous power levels of the source signals. A novel adaptive blind source extraction algorithm is derived and an alternative method with prewhitening is also introduced. Simulation results verify the proposed algorithms.",

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AU - Mandic, Danilo P.

AU - Cichocki, Andrzej

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N2 - A rigorous analysis of the performance of a blind source extraction structure based on a linear predictor is provided. It is shown that by minimising the mean square prediction error, it is only possible to reach a solution subject to an arbitrary orthogonal transformation, in a manner similar to the principal component analysis. To remove this uncertainty, we propose a new cost function which caters for the ambiguous power levels of the source signals. A novel adaptive blind source extraction algorithm is derived and an alternative method with prewhitening is also introduced. Simulation results verify the proposed algorithms.

AB - A rigorous analysis of the performance of a blind source extraction structure based on a linear predictor is provided. It is shown that by minimising the mean square prediction error, it is only possible to reach a solution subject to an arbitrary orthogonal transformation, in a manner similar to the principal component analysis. To remove this uncertainty, we propose a new cost function which caters for the ambiguous power levels of the source signals. A novel adaptive blind source extraction algorithm is derived and an alternative method with prewhitening is also introduced. Simulation results verify the proposed algorithms.

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U2 - 10.1109/ISCAS.2005.1465408

DO - 10.1109/ISCAS.2005.1465408

M3 - Conference article

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EP - 3602

JO - Proceedings - IEEE International Symposium on Circuits and Systems

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T2 - IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005

Y2 - 23 May 2005 through 26 May 2005

ER -

A Class of novel blind source extraction algorithms based on a linear predictor

Abstract

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