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- W2294174977 abstract "This paper presents a new Variable Step-Size Normalized Subband Adaptive Filter (VSS-NSAF) algorithm. The proposed algorithm uses the prior knowledge of the system impulse response statistics and the optimal step-size vector is obtained by minimizing the Mean-Square Deviation (MSD). In comparison with NSAF, the VSS-NSAF algorithm has faster convergence speed and lower MSD. To reduce the computational complexity of VSS-NSAF, the VSS Selective Partial Update NSAF (VSS-SPU-NSAF) is proposed where the filter coefficients are partially updated in each subband at every iteration. We demonstrated the good performance of the proposed algorithms in convergence speed and steady-state MSD for a system identification set-up." @default.
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- W2294174977 date "2013-03-10" @default.
- W2294174977 modified "2023-09-23" @default.
- W2294174977 title "A FAMILY OF VARIABLE STEP-SIZE NORMALIZED SUB-BAND ADAPTIVE FILTER ALGORITHMS USING STATISTICS OF SYSTEM IMPULSE RESPONSE" @default.
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