2008Journal of Projectiles.Rockets.Missiles and GuidanceRequires access

Study on Signal De-noising by Wavelet Analysis

Wenai Song

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Abstract

In real engineering application,sampling signals are inevitably influenced by noise.Based on characteristic analysis of signal noise,wavelet analysis was applied to eliminate it,and a series of simulative research of steady signal and non-steady signal denoising was done under Matlab environment,a comparative denoising study of the pulse signal was performed based on four different thresholds.The results show that wavelet denoising is better for data processing;the method of wavelet application is practicable to real signal.

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What this paper is about

In real engineering application,sampling signals are inevitably influenced by noise.Based on characteristic analysis of signal noise,wavelet analysis was applied to eliminate it,and a series of simulative research of steady signal and non-steady signal denoising was done under Matlab environment,a comparative denoising study of the pulse signal was performed based on four different thresholds.The results show that wavelet denoising is better for data processing;the method of wavelet application is practicable to real signal.

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Available abstract

In real engineering application,sampling signals are inevitably influenced by noise.Based on characteristic analysis of signal noise,wavelet analysis was applied to eliminate it,and a series of simulative research of steady signal and non-steady signal denoising was done under Matlab environment,a comparative denoising study of the pulse signal was performed based on four different thresholds.The results show that wavelet denoising is better for data processing;the method of wavelet application is practicable to real signal.

Key concepts: Wavelet, SIGNAL (programming language), Noise reduction, Computer science, Noise (video), MATLAB, Step detection, Signal processing

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