ICA Papers Classified According to their Applications and Performances

Ali Mansour (1) , Mitsuru Kawamoto (2)

1 Lab-STICC_ENSTAB_CACS_COM
2 AIST - Advanced Industrial Science and technology

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.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Ali Mansour, Mitsuru Kawamoto. ICA Papers Classified According to their Applications and Performances. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2003, E86-A (3), pp.620-633. ⟨hal-00802458⟩