Variable Step Size Volterra FXLMS Algorithm

Due to increased noise pollution active noise controllers (ANC) are implemented in audio devices. However, during operation, these controllers are affected by the system's nonlinearity. This resulted in a nonlinear ANC (NANC) system. Here a novel variable Volterra filtered-X least mean square (VAVFXLMS) adaptive technique is put in place for the NANC system. The suggested techniq dynamically adjusts the step-size, altering it proportionately to the instantaneous error during weight updates. The proposed VAVFXLMS algorithm's convergence curves are analyzed for periodic, nonminimum, and minimum phase models.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/aespc63931.2024.10872367
Citations
1
Primary Topic
Advanced Adaptive Filtering Techniques
Type
article
Field-Weighted Citation Impact
0.37
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Variable Step Size Volterra FXLMS Algorithm

Nirmal Kumar Rout, Ansuman Patnaik, Rosalin Rosalin, Aruna Tripathy
1 citations
Advanced Adaptive Filtering Techniques
0.37
article

Variable Step Size Volterra FXLMS Algorithm

Nirmal Kumar Rout, Ansuman Patnaik, Rosalin Rosalin, Aruna Tripathy
article en
1 citations

Abstract

Due to increased noise pollution active noise controllers (ANC) are implemented in audio devices. However, during operation, these controllers are affected by the system's nonlinearity. This resulted in a nonlinear ANC (NANC) system. Here a novel variable Volterra filtered-X least mean square (VAVFXLMS) adaptive technique is put in place for the NANC system. The suggested techniq dynamically adjusts the step-size, altering it proportionately to the instantaneous error during weight updates. The proposed VAVFXLMS algorithm's convergence curves are analyzed for periodic, nonminimum, and minimum phase models.

Odisha University of Agriculture and Technology (IN), Odisha University of Technology and Research, KIIT University (IN)
Openalex Percentile: Top 39%
Advanced Adaptive Filtering Techniques
0.37
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