Blind equalization formulated as a self-organized learning process

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volumn , Issue , 1992, Pages 346-350

  Haykin, Simon ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; MATHEMATICAL TRANSFORMATIONS;

BUSSGANG ALGORITHM; EQUALIZATION PROBLEM; LEARNING PROCESS; NON-LINEAR TRANSFORMATIONS; OUTPUT NONLINEARITIES; SELF ORGANIZED LEARNING; SELF-ORGANIZED PROCESS; STEADY-STATE CONDITION;

BLIND EQUALIZATION;

EID: 84892180949     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.1992.269177     Document Type: Conference Paper

References (6)

1. S. Haykin, Adaptive Filter Theory, Second Edition, Chapter 20, Prentice-Hall, 1991.
2. R. Linsker, From basic network principles to neural architecture" (Series), Proc. Nat. Acad. Sciences (USA), vol. 83, 1986.
3. T. M. Cover, "Geometrical and statistical property of systems of linear inequalities with applications in pattern recornition", IEEE Trans. Electronic Computers, vol. EC 14, pp. 325-334, 1965.
4. S. Bellini, "Bussgang techniques for blind equalization", Globecom, Houston, Texas, pp. 1634-1640, 1986.
5. T. Kohonen, Self-organization and Associative Memory, Third Edition, Springer-Verlag, 1988.
6. R. Linsker, "Self-organization in a perceptual network", Computer, vol. 21, pp. 105-117, 1988.