Title :
Convergence Performance Comparison of Transform Domain LMS Adaptive Filters for Correlated Signal
Author :
Murmu, Govind ; Nath, Ravinder
Author_Institution :
Dept. of Electron. Eng., Indian Sch. of Mines, Dhanbad, India
Abstract :
Adaptive filters are very useful in the present world. It is a well known fact that the performance of adaptive filters is highly dependent upon the type of input sequence. Further the uncorrelated input shows a better convergence speed than the correlated input. But most of the real world signals are correlated. Various methods have been proposed to preprocess these inputs by transforming these inputs to different domain and then filtering. These include DFT-LMS, DCT-LMS, DSTLMS and DWT-LMS among some of the popular algorithms.In this paper we analyzed and compared convergence properties of these different transform domain algorithms via computer simulations. The results showed that DWT-LMS perform better than others under certain criterion.
Keywords :
adaptive filters; convergence; correlation methods; discrete cosine transforms; discrete wavelet transforms; least mean squares methods; DCT-LMS; DFT-LMS; DST- LMS; DWT-LMS; computer simulation; convergence performance comparison; convergence property; convergence speed; correlated signal; discrete cosine transform; discrete sine transform; discrete wavelet transform; least mean square method; transform domain LMS adaptive filters; transform domain algorithm; Convergence; Correlation; Discrete wavelet transforms; Eigenvalues and eigenfunctions; Least squares approximation; Matrix decomposition;
Conference_Titel :
Devices and Communications (ICDeCom), 2011 International Conference on
Conference_Location :
Mesra
Print_ISBN :
978-1-4244-9189-6
DOI :
10.1109/ICDECOM.2011.5738534
