Paper Title:
Wavelet Vector Machines Blind Equalization Algorithm Based on Variable Segmentation Error Function
  Abstract

To overcome the disadvantage of constant modulus algorithm's slow convergence and local minimum, this paper presents a wavelet vector machine blind equalization algorithm based on variable segmentation error function. This proposed algorithm uses support vector machine to optimize the initial weight vector, then, it switches to Wavelet Constant Modulus blind equalization Algorithm(WCMA) with odd symmetry variable segmentation error function. The computer simulation with underwater acoustic channel demonstrates that the proposed algorithm has fast convergence rate and small mean square error.

  Info
Periodical
Edited by
Ran Chen
Pages
3210-3214
DOI
10.4028/www.scientific.net/AMM.44-47.3210
Citation
Y. C. Guo, Z. C. Zhang, "Wavelet Vector Machines Blind Equalization Algorithm Based on Variable Segmentation Error Function", Applied Mechanics and Materials, Vols. 44-47, pp. 3210-3214, 2011
Online since
December 2010
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