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- W2050810337 abstract "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." @default.
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- W2050810337 title "Least-mean kurtosis: A novel higher-order statistics based adaptive filtering algorithm" @default.
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- W2050810337 doi "https://doi.org/10.1049/el:19940129" @default.
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