A Variable Step Size Normalized Least-Mean-Square Algorithm Based on Data Reuse

A Variable Step Size Normalized Least-Mean-Square Algorithm Based on Data Reuse

The principal issue in acoustic echo cancellation (AEC) is to estimate the impulse response between the loudspeaker and microphone of a hands-free communication device. This application can be addressed as a system identification problem, which can be solved by using an adaptive filter. The most com...

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Bibliographic Details
Main Authors: Benesty, J. (Author), Ciochină, S. (Author), Paleologu, C. (Author), Rusu, A.-G (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Acoustic echo cancelation
Acoustic echo cancellation
acoustic echo cancellation (AEC)
Adaptive filtering
adaptive filters
Adaptive filters
data reuse
Data reuse
Echo suppression
Impulse response
Least mean squares
Loudspeakers
Normalized least mean squares algorithms
normalized least-meansquare (NLMS) algorithm
Normalized least-meansquare algorithm
Parameter estimation
Performance
Reusability
Step size
Variable step size
variable step size (VSS)
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