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24130

AN OLD WORKFRAME FOR A NEW PROBLEM: A CLASSICAL MODEL FOR UNSUPERVISED ADAPTIVE FILTERING

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Last updated: 04 Jan 2025

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Abstract

A classical adaptive filtering model of the problem of instantaneous blind signal separation, or what is formally known as unsupervised adaptive filtering is presented. This classical form helps understanding the well-known superior behaviour of the natural gradient solution to the blind separation problem. A new RLS-based algorithm is developed using this classical model. The algorithm provides improved on-line separation speed under the same steady state error compared to the natural gradient algorithm without requiring pre-whitening.

DOI

10.21608/asat.2007.24130

Keywords

Blind Signal Separation, Natural Gradient, Recursive Least Square, Unsupervised Adaptive Filtering

Authors

First Name

M.

Last Name

Elsabrouty

MiddleName

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Affiliation

Faculty of Information and Engineering Technology, The German University in Cairo.

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Volume

12

Article Issue

ASAT Conference, 29-31 May 2007

Related Issue

4431

Issue Date

2007-05-01

Receive Date

2019-01-10

Publish Date

2007-05-01

Page Start

1

Page End

10

Print ISSN

2090-0678

Online ISSN

2636-364X

Article File

ASAT_Volume 12_Issue ASAT Conference, 29-31 May 2007_Pages 1-10.pdf

PDF . 136.0kB

Link

https://asat.journals.ekb.eg/article_24130.html

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https://asat.journals.ekb.eg/service?article_code=24130

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111

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Original Article

Type Code

737

Publication Type

Journal

Publication Title

International Conference on Aerospace Sciences and Aviation Technology

Publication Link

https://asat.journals.ekb.eg/

MainTitle

AN OLD WORKFRAME FOR A NEW PROBLEM: A CLASSICAL MODEL FOR UNSUPERVISED ADAPTIVE FILTERING

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Article

Created At

22 Jan 2023