ICA Papers Classified According to their Applications and Performances

Ali MANSOUR; Mitsuru KAWAMOTO

ICA Papers Classified According to their Applications and Performances

Ali MANSOUR, Mitsuru KAWAMOTO

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Since the beginning of the last two decades, many researchers have been involved in the problem of Blind Source Separation (BSS). Whilst hundreds of algorithms have been proposed to solve BSS. These algorithms are well known as Independent Component Analysis (ICA) algorithms. Nowadays, ICA algorithms have been used to deal with various applications and they are using many performance indices. This paper is dedicated to classify the different algorithms according to their applications and performances.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E86-A No.3 pp.620-633

Publication Date: 2003/03/01

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Type of Manuscript: Special Section PAPER (Special Section on Blind Signal Processing: Independent Component Analysis and Signal Separation)

Category: Reviews

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Ali MANSOUR, Mitsuru KAWAMOTO, "ICA Papers Classified According to their Applications and Performances" in IEICE TRANSACTIONS on Fundamentals, vol. E86-A, no. 3, pp. 620-633, March 2003, doi: .
Abstract: Since the beginning of the last two decades, many researchers have been involved in the problem of Blind Source Separation (BSS). Whilst hundreds of algorithms have been proposed to solve BSS. These algorithms are well known as Independent Component Analysis (ICA) algorithms. Nowadays, ICA algorithms have been used to deal with various applications and they are using many performance indices. This paper is dedicated to classify the different algorithms according to their applications and performances.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e86-a_3_620/_p

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@ARTICLE{e86-a_3_620,
author={Ali MANSOUR, Mitsuru KAWAMOTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={ICA Papers Classified According to their Applications and Performances},
year={2003},
volume={E86-A},
number={3},
pages={620-633},
abstract={Since the beginning of the last two decades, many researchers have been involved in the problem of Blind Source Separation (BSS). Whilst hundreds of algorithms have been proposed to solve BSS. These algorithms are well known as Independent Component Analysis (ICA) algorithms. Nowadays, ICA algorithms have been used to deal with various applications and they are using many performance indices. This paper is dedicated to classify the different algorithms according to their applications and performances.},
keywords={},
doi={},
ISSN={},
month={March},}

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TY - JOUR
TI - ICA Papers Classified According to their Applications and Performances
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 620
EP - 633
AU - Ali MANSOUR
AU - Mitsuru KAWAMOTO
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E86-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2003
AB - Since the beginning of the last two decades, many researchers have been involved in the problem of Blind Source Separation (BSS). Whilst hundreds of algorithms have been proposed to solve BSS. These algorithms are well known as Independent Component Analysis (ICA) algorithms. Nowadays, ICA algorithms have been used to deal with various applications and they are using many performance indices. This paper is dedicated to classify the different algorithms according to their applications and performances.
ER -