Title :
A gradient-based adaptive algorithm with reduced complexity, fast convergence and good tracking characteristics
Author :
Benesty, Jacob ; Wen, Li Sheng ; Duhamel, Pierre
Author_Institution :
CNET, Issy-Les-Moulineaux, France
Abstract :
A new block processing algorithm which requires a smaller number of arithmetic operations than the least mean square (LMS) algorithm, while converging faster is described. Theoretical conditions for this convergence to be faster are derived and checked by simulation. Some simulations are provided showing that, at least under some specific conditions, its tracking characteristics are also improved. These performances are obtained by grouping the computations corresponding to a block of successive inputs. Good performances are obtained even with very small blocks
Keywords :
acoustic signal processing; adaptive filters; convergence; digital filters; echo suppression; filtering and prediction theory; acoustic echo; adaptive filters; block processing algorithm; echo cancellation; fast convergence; gradient-based adaptive algorithm; reduced complexity; simulations; tracking characteristics; Adaptive algorithm; Arithmetic; Computational modeling; Convergence; Echo cancellers; Equations; Error correction; Filters; Least squares approximation; Signal processing algorithms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226425
