A new variable step size Least Mean Square (LMS) FIR adaptive filter algorithm (VSS-CC) is proposed. In the VSS-CC algorithm the step size adjustment (α) is controlled by using the correlation between the output error (e(n)) and the adaptive filter output (
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Fausto CASCO, Hector PEREZ, Mariko NAKANO, Mauricio LOPEZ, "A Variable Step Size (VSS-CC) NLMS Algorithm" in IEICE TRANSACTIONS on Fundamentals,
vol. E78-A, no. 8, pp. 1004-1009, August 1995, doi: .
Abstract: A new variable step size Least Mean Square (LMS) FIR adaptive filter algorithm (VSS-CC) is proposed. In the VSS-CC algorithm the step size adjustment (α) is controlled by using the correlation between the output error (e(n)) and the adaptive filter output (
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e78-a_8_1004/_p
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@ARTICLE{e78-a_8_1004,
author={Fausto CASCO, Hector PEREZ, Mariko NAKANO, Mauricio LOPEZ, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Variable Step Size (VSS-CC) NLMS Algorithm},
year={1995},
volume={E78-A},
number={8},
pages={1004-1009},
abstract={A new variable step size Least Mean Square (LMS) FIR adaptive filter algorithm (VSS-CC) is proposed. In the VSS-CC algorithm the step size adjustment (α) is controlled by using the correlation between the output error (e(n)) and the adaptive filter output (
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - A Variable Step Size (VSS-CC) NLMS Algorithm
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1004
EP - 1009
AU - Fausto CASCO
AU - Hector PEREZ
AU - Mariko NAKANO
AU - Mauricio LOPEZ
PY - 1995
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E78-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 1995
AB - A new variable step size Least Mean Square (LMS) FIR adaptive filter algorithm (VSS-CC) is proposed. In the VSS-CC algorithm the step size adjustment (α) is controlled by using the correlation between the output error (e(n)) and the adaptive filter output (
ER -