2015
DOI: 10.1016/j.sigpro.2014.06.026
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Steady-state mean-square deviation analysis of improved normalized subband adaptive filter

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Cited by 17 publications
(6 citation statements)
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“…This result is reasonable because an individual weighting factor for each subband is utilized in the proposed algorithms, i.e., (8) and (23). Likewise, for sparse impulse response, the IWF-IPSSAF algorithm has better convergence performance than the IWF-SSAF algorithm.…”
Section: Algorithmsmentioning
confidence: 74%
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“…This result is reasonable because an individual weighting factor for each subband is utilized in the proposed algorithms, i.e., (8) and (23). Likewise, for sparse impulse response, the IWF-IPSSAF algorithm has better convergence performance than the IWF-SSAF algorithm.…”
Section: Algorithmsmentioning
confidence: 74%
“…This is commonly used independent assumption for the analysis of adaptive filters, i.e., [1,7,8,23,27]. 4) The ith subband input signal is approximately white.…”
Section: Mean-square Behavior Of the Iwf-ssafmentioning
confidence: 99%
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“…Subtracting (6) from wo, taking the squared Euclidean norm of both sides, and using the diagonal assumption [15], we have…”
Section: Convergence Analysis Of Proposed Algorithmmentioning
confidence: 99%