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Adaptive filtering algorithms with quatratized cost function for linearly constrained arrays
Last modified: 2014-02-19
Abstract
This paper considers peculiarities of adaptive filtering algorithms for arrays based on the Linearly Constrained quadratic and multi-extreme Constant Modulus cost functions minimization. The results of using the Linearly Constrained quadratized Constant Modulus cost function in the complex-valued LMS and RLS algorithms for the adaptive arrays are presented. The algorithms efficiency is compared to that of the real-valued arithmetic versions of the considered algorithms.