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The paper provides a comparative performance analysis of the normalized multichannel frequency-domain least-mean-squares (MCFLMS) and variable step size MCFLMS (VSS-MCFLMS) algorithms used in blind channel identification. Both the algorithms eliminate the need of a priori estimation of the step size parameter for rapid convergence to the desired solution. We perform the convergence analysis of the...
This paper deals with improving the performance of reduced mutually referenced equalizers for direct blind equalization of SIMO FIR channels in the presence of additive noise. Here we propose a noise-robust optimal-step-size frequency-domain LMS algorithm for estimating the equalizer coefficients. The proposed technique resolves the step-size ambiguity of the LMS algorithm, gives faster convergence...
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