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JICCE (한국정보통신학회)

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한글제목(Korean Title) A Study on Wavelet-based Denoising Algorithm for Signal Reconstruction in Mixed Noise Environments
영문제목(English Title) A Study on Wavelet-based Denoising Algorithm for Signal Reconstruction in Mixed Noise Environments
저자(Author) Sang-Bum Bae   Nam-Ho Kim  
원문수록처(Citation) VOL 05 NO. 01 PP. 0001 ~ 0006 (2007. 03)
한글내용
(Korean Abstract)
영문내용
(English Abstract)
In the process of the acquisition, storage, transmission of signals, noises are generated by various causes and the degradation phenomenon by noises tends to generate serious errors for the signal with information. So, in order to analyze and remove these noises, studies on numerous mathematical methods such as the Fourier transform have been implemented. And recently there have been many ongoing wavelet-based denoising algorithms representing excellent characteristics in time-frequency localization and multiresolution analysis, but the method to remove additive white Gaussian noise (AWGN) and the impulse noise simultaneously was not given. So, to reconstruct the corrupted signal by noises, in this paper a novel wavelet-based denoising algorithm was proposed and using signal-to-noise ratio (SNR) this method was compared to conventional methods.
키워드(Keyword) AWGN   denoising   impulse noise   multiresolution   time-frequency localization   wavelet  
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