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Precision Induction and Distinction of Coughing and Sneezing Reflexes in Mice

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Active noise cancellation algorithms for impulsive noise.

Peng Li¹, Xun Yu²

¹Department of Mechanical & Industrial Engineering, University of Minnesota Duluth, MN 55812, USA.

Mechanical Systems and Signal Processing

|December 24, 2013

Summary

This summary is machine-generated.

Active noise control (ANC) systems struggle with impulsive noise. A modified filtered-X least mean M-estimate (FXLMM) algorithm offers improved stability and performance for suppressing sudden loud noises compared to standard methods.

Keywords:

Active noise control Adaptive filter FXLMM Impulsive noise Nonlinear algorithm Stability

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Area of Science:

Acoustics and Signal Processing
Control Systems Engineering

Background:

Impulsive noise presents a significant challenge for the effective implementation of active noise control (ANC) systems.
Existing algorithms like the filtered-X least mean square (FXLMS) can be suboptimal in handling sudden, high-amplitude noise events.

Purpose of the Study:

To evaluate the performance of the standard filtered-X least mean square (FXLMS) and nonlinear filtered-X least mean M-estimate (FXLMM) algorithms in controlling impulsive noise.
To propose and validate a novel modified FXLMM algorithm designed for enhanced impulsive noise suppression in ANC systems.

Main Methods:

Comparative analysis of FXLMS, FXLMM, and a proposed modified FXLMM algorithm.
Computer simulations to model and assess algorithm performance under impulsive noise conditions.
Experimental validation to confirm simulation results and practical effectiveness.

Main Results:

The FXLMM and modified FXLMM algorithms demonstrate superior robustness against sudden large amplitude impulses compared to the FXLMS algorithm.
The proposed modified FXLMM algorithm achieves enhanced stability without compromising the residual noise performance during impulse events.
Both simulation and experimental results confirm the improved capabilities of the modified FXLMM algorithm.

Conclusions:

The modified FXLMM algorithm provides a more effective solution for active noise control in environments with impulsive noise.
This enhanced algorithm offers a practical advancement for ANC systems requiring reliable performance under challenging acoustic conditions.