A paradigm for blind IIR equalization using the constant modulus criterion and an artificial immune network

Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

Volumn 2003-January, Issue , 2003, Pages 839-848

  Attux, Romis R F ^a   De Castro, Leandro N ^a   Von Zuben, Fernando J ^a   Romano, João Marcos T ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COGNITIVE SYSTEMS;

ARTIFICIAL IMMUNE NETWORKS; CONSTANT MODULUS CRITERION; GLOBAL CONVER-GENCE;

SIGNAL PROCESSING;

EID: 33751191393     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NNSP.2003.1318083     Document Type: Conference Paper

References (6)

1. Q. Ma, C. F. N. Cowan, "Genetic algorithms applied to the adaptation of IIR filters", Signal Processing, No. 48, pp. 155-163, 1996.
2. - L. N. de Castro, J. Timmis, Artificial Immune Systems: A New Computational Intelligence Approach, Springer-Verlag, London, 2002a.
3. - L. N. de Castro, F. J. Von Zuben, "aiNet: An Artificial Immune Network for Data Analysis", in Data Mining: A Heuristic Approach, H. A. Abbass, R. A. Sarker, and C. S. Newton (eds.), Idea Group Publishing, USA, Chapter XII, pp. 231-259,2001
4. - L. N. de Castro, J. Timmis, "An Artificial Immune Network for Multimodal Function Optimization", in proc. of the IEEE Congress of Evolutionary Computation, vol. 1, pp. 699-704, Honolulu, Hawaii, 2002b.
5. - R.R.F. Attux, M.B. Loiola, R. Suyama, L.N. de Castro, F.J. Von Zuben, J.M.T. Romano, "Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model" - EUFUSIP Journal on Applied Signal Processing, to appear in the third quarter of 2003.
6. - H. Zeng, L. Tong, C. R. Johnson, "An Analysis of Constant Modulus Receivers" - IEEE Trans. on Signal Processing, Vol. 47, No. 11, pp. 2990-2999, 1999.