Title :
Channel estimation algorithm based on chaotic signals and artificial neural networks
Author :
Muller, A. ; Elmirghani, J.M.H.
Author_Institution :
Sch. of Eng., Northumbria Univ., Newcastle upon Tyne, UK
Abstract :
Two new chaotic based coding and decoding methods are introduced and discussed. Channel estimation is evaluated when chaotic coded sequences are employed. A speech transmission scenario using chaotic coded speech is considered and channel estimation is carried out. The results show that a modelling misadjustment improvement of 24 dB/100 iterations is achievable. This represents a 6 fold improvement compared to LMS adaptation for a 128 tap digital adaptive filter using a white noise process
Keywords :
chaos; decoding; echo suppression; estimation theory; radial basis function networks; speech coding; telecommunication channels; artificial neural networks; channel estimation algorithm; chaotic based coding; chaotic based decoding; chaotic coded speech; chaotic signals; modelling misadjustment improvement; radial basis functions; speech transmission; Adaptive filters; Artificial neural networks; Channel estimation; Chaos; Chaotic communication; Dynamic programming; Echo cancellers; Least squares approximation; Noise cancellation; Speech;
Conference_Titel :
Communications, 1999. ICC '99. 1999 IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-5284-X
DOI :
10.1109/ICC.1999.765544
