DocumentCode :
1640238
Title :
A Sparseness-Controlled Improved Proportionate Affine Projection Algorithm
Author :
Yang, Hai-bin
Author_Institution :
Hunan Vocational Inst. of Technol., Xiangtan, China
fYear :
2011
Firstpage :
1
Lastpage :
4
Abstract :
The improved proportionate affine projection algorithm (IPAPA) can improve the convergence speed for the identification of sparse systems as compared to their conventional counterparts. However, its performance for non-sparse systems can be relatively poor, even slower than the APA algorithm. In this paper, a new algorithm is proposed to incorporate the sparseness into the IPAPA algorithm (SC-IPAPA) so that its performance for non-sparse impulse response is improved. The proposed approach first estimate how sparse is the target impulse response, then automatically adjust the related parameters to assure their convergence. Consequently, when the impulse response is sparse, the algorithm allocates more weight to the proportionate term. For comparatively less sparse impulse responses, the algorithm aims to achieve the convergence of APA by applying a higher weighting to the APA term. Simulations with real speech signals show that proposed algorithm (SC-IPAPA) is better than IPAPA and SC-IPNLMS for impulse responses with different sparseness.
Keywords :
speech processing; transient response; IPAPA algorithm; nonsparse impulse response; sparse system identification; sparseness-controlled improved proportionate affine projection algorithm; speech signals; target impulse response; Adaptation models; Adaptive filters; Convergence; Dispersion; Echo cancellers; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location :
Wuhan
ISSN :
2161-9646
Print_ISBN :
978-1-4244-6250-6
Type :
conf
DOI :
10.1109/wicom.2011.6039949
Filename :
6039949
Link To Document :
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