Special Section on Blind Signal Processing: ICA and BSS ICA Papers Classified According to their Applications and Performances Ali MANSOUR 1, Mitsuru Kawamoto 1- E3I2, ENSIETA, 2 Rue Francois Verny, 29806 Brest cedex 09, France 2- Deptment of Electronic and Control Systems Eng., Shimane University, Matsue-shi 690-8504, Japan. summary 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: contrast function, Kullback divergence, mutual-information, likelihood maximization}