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This paper is concerned with the computational complexity and convergence performance of transform-domain adaptive filtering algorithms. In particular, the transform-domain least-mean-square algorithm and the generalized subband decomposition LMS algorithm are considered. Reduced complexity variants of these algorithms are developed based on the concept of selective partial updating. The effect of...
In this paper a new cluster based Maximum Likelihood Sequence Equalizer is presented. The novelty of the algorithm consists of a new technique for the estimation of all the centers around which the received observations are clustered. For a channel of order L and M-PAM signaling scheme, only L of the cluster centers need to be estimated, and the rest, M L -L, are subsequently computed via...
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