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Least-mean kurtosis: a novel higher-order statistics based adaptive filtering algorithm

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2 Author(s)
O. Tanrikulu ; Dept. of Electr. Eng., Imperial Coll. of Sci., Technol. & Med., London ; A. G. Constantinides

The least-mean kurtosis (LMK) adaptive FIR filtering algorithm is described which uses the negated kurtosis of the error signal as the cost function to be minimised. Unlike other higher-order statistics based adaptive algorithms, it is computationally efficient and it best suits those applications in which the noise contamination degrades the performance of the classical adaptive filtering algorithms

Published in:

Electronics Letters  (Volume:30 ,  Issue: 3 )