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Circuits, Systems, and Signal Processing

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09-06-2024

Distributed Active Noise Control Employing Swish Framework Integrated with Diffusion Adaptive Techniques

Authors: Rajapantula Kranthi, Vasundhara, Asutosh Kar

Published in: Circuits, Systems, and Signal Processing | Issue 9/2024

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Abstract

The filtered-x least mean square (F-xLMS) technique dependent distributed active noise control (DANC) system is less effective against outliers and disturbances that represent impulses. In such an environment, DANC algorithms based on Swish functions are being developed to reduce noise. The Swish function overcomes the vanishing gradient problem and accelerates convergence by utilising the smoothness and unboundedness properties. In light of this, the current manuscript presents a set of robust techniques for DANC systems that utilizes the Swish structure in lieu of diffusion strategy for filtered-x Blake Zisserman, filtered-x logarithmic hyperbolic cosine adaptive filter algorithms, filtered-x least mean fourth, and filtered-x generalized maximum correntropy criterion. In regard to the suggested methods, weight updating rules pertaining utilizing to the introduced algorithms are created and a convergence analysis is done. The proposed methods achieve quantitatively 1–5 dB enhancement in noise mitigation in case of varied impulsive noise models and input reference signals considered with a faster convergence compared to previous strategies.

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Title: Distributed Active Noise Control Employing Swish Framework Integrated with Diffusion Adaptive Techniques
Authors: Rajapantula Kranthi
Vasundhara
Asutosh Kar
Publication date: 09-06-2024
Publisher: Springer US
Published in: Circuits, Systems, and Signal Processing / Issue 9/2024
Print ISSN: 0278-081X
Electronic ISSN: 1531-5878
DOI: https://doi.org/10.1007/s00034-024-02734-x

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Springer Professional "Wirtschaft+Technik"

ATZelektronik

ATZelectronics worldwide

Springer Professional "Technik"

A Multi-scale Subconvolutional U-Net with Time-Frequency Attention Mechanism for Single Channel Speech Enhancement

Robust Adaptive Beamforming Based on Covariance Matrix Reconstruction with Gaussian Random Dimensionality Reduction

Pattern Synthesis of Large Linear Arrays Using Nonuniformly-Spaced Subarrays

Filtering-Based Bias-Compensation Recursive Estimation Algorithm for an Output Error Model with Colored Noise

Detecting and Classifying Parametric Faults in Analog Circuits Using an Optimized Attention Neural Networks

A Generalized Rearranged Coprime Array Configuration for Direction-of-Arrival Estimation with Increased Degrees of Freedom