Title :
Convergence properties of self-organizing maps applied for communication channel equalization
Author :
Abdulkader, Hasan ; Ibnkahla, Mohamed
Author_Institution :
Nat. Polytech. Inst. of Toulouse, Toulouse, France
fDate :
6/22/1905 12:00:00 AM
Abstract :
This paper studies the convergence properties of a self-organizing map (SOM) equalizer. The transmitted signal is assumed to be a 4-QAM signal corrupted by an additive white Gaussian noise (AWGN). Several theoretical results such as map ordering and stability conditions are given. These results show a good fit with computer simulations
Keywords :
AWGN; convergence of numerical methods; digital communication; equalisers; learning (artificial intelligence); quadrature amplitude modulation; self-organising feature maps; stability; 4-QAM signal; AWGN; SOM equalizer; additive white Gaussian noise; communication channel equalization; computer simulations; convergence properties; digital communication channels; learning algorithm; map ordering; noisy channel; self-organizing maps; stability conditions; transmitted signal; AWGN; Additive white noise; Communication channels; Convergence; Digital communication; Equalizers; Neurons; Quadrature phase shift keying; Self organizing feature maps; Stability;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.860156
