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Adaptive Feedback Cancellation on Improved DCD Algorithms

Chao DONG, Li GAO, Ying HONG, Chengpeng HAO

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Summary :

Dichotomous coordinate descent (DCD) iterations method has been proposed for adaptive feedback cancellation, which uses a fixed number of iterations and a fixed amplitude range. In this paper, improved DCD algorithms are proposed, which substitute the constant number of iterations and the amplitude range with a variable number of iterations(VI) and/or a variable amplitude range(VA). Thus VI-DCD, VA-DCD and VIA-DCD algorithms are obtained. Computer simulations are used to compare the performance of the proposed algorithms against original DCD algorithm, and simulation results demonstrate that significant improvements are achieved in the convergence speed and accuracy. Another notable conclusion by further simulations is that the proposed algorithms achieve superior performance with a real speech segment as the input.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E96-A No.6 pp.1478-1481
Publication Date
2013/06/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E96.A.1478
Type of Manuscript
LETTER
Category
Digital Signal Processing

Authors

Chao DONG
  Chinese Academy of Sciences,Graduate School of the Chinese Academy of Sciences
Li GAO
  Chinese Academy of Sciences
Ying HONG
  Chinese Academy of Sciences
Chengpeng HAO
  Chinese Academy of Sciences

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