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- W2142168148 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." @default.
- W2142168148 created "2016-06-24" @default.
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- W2142168148 date "2011-02-01" @default.
- W2142168148 modified "2023-10-16" @default.
- W2142168148 title "Convergence Performance Comparison of Transform Domain LMS Adaptive Filters for Correlated Signal" @default.
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- W2142168148 doi "https://doi.org/10.1109/icdecom.2011.5738534" @default.
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