Differential Hebbian-type learning algorithms for decorrelation and independent component analysis

Electronics Letters

Volumn 34, Issue 9, 1998, Pages 900-901

  Choi, Seungjin ^a  

^a Chungbuk National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; LEARNING SYSTEMS;

DIFFERENTIAL HEBBIAN-TYPE LEARNING ALGORITHMS; INDEPENDENT COMPONENT ANALYSIS (ICA);

LEARNING ALGORITHMS;

EID: 0032048017     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:19980636     Document Type: Article

References (7)

1. JUTTEN, C., and HERAULT, J.: 'Blind separation of sources, part i: An adaptive algorithm based on neuromimetic architecture', Signal Process., 1991, 24, pp. 1-10
2. CICHOCKI, A., UNBEHAUEN, R., MOSZCZYNSKI, L., and RUMMERT, E.: 'A new on-line adaptive learning algorithm for blind separation of source signals'. Int. Joint Conf. on Neural Networks, 1994, pp. 406-411
3. BELL, A., and SEJNOWSKI, T.: 'An information maximisation approach to blind separation and blind deconvolution', Neural Comput., 1995, 7, pp. 1129-1159
4. AMARI, S., CICHOCKI, A., and YANG, H.H.: 'A new learning algorithm for blind signal separation' in TOURETZKY, D.S., MOZER, M.C., and HASSELMO, M.E. (Eds.): 'Advances in neural information processing systems' (MIT press, 1996), vol. 8, pp. 757-763
5. CARDOSO, J.F., and LAHELD, B.H.: 'Equivariant adaptive source separation', IEEE Trans. Signal Process., 1996, SP-44, pp. 3017-3030
6. SILVA, F.M., and ALMEIDA, L.B.: 'A distributed solution for data orthonormalisation'. Int. Conf. on Artificial Neural Networks, 1991, Vol. 1, pp. 943-948
7. KOSKO, B.: 'Neural networks and fuzzy systems' (Prentice-Hall, Englewood Cliffs, New Jersey, 1992)