A genetic approach for linear-quadratic channel identification with usual communication inputs

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn , Issue , 2007, Pages 1703-1707

  Cherif, Imen ^b   Abid, Sabeur ^b   Fnaiech, Farhat ^a,b  

^a IEEE

^b UNIVERSITY OF TUNIS   (Tunisia)

Author keywords

Blind identification; Digital communication signals; Genetic algorithm (GA); Higher order statistics (HOS); Volterra kernels

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BLIND EQUALIZATION; BOOLEAN FUNCTIONS; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER NETWORKS; DIGITAL COMMUNICATION SYSTEMS; GENETIC ALGORITHMS; NONLINEAR SYSTEMS; QUADRATIC PROGRAMMING; QUADRATURE AMPLITUDE MODULATION;

BLIND IDENTIFICATION; DIGITAL COMMUNICATION SIGNALS; GENETIC ALGORITHM (GA); HIGHER ORDER STATISTICS (HOS); VOLTERRA KERNELS;

NEURAL NETWORKS;

EID: 51749121244     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2007.4371214     Document Type: Conference Paper

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