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http://dx.doi.org/10.6109/JKIICE.2007.11.1.150

Wavelet-based Algorithm for Signal Reconstruction  

Bae, Sang-Bum (부경대학교 전기제어공학부)
Kim, Nam-Ho (부경대하교 전기제어공학부)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.11, no.1, 2007 , pp. 150-156 More about this Journal
Abstract
Noise is generated by several causes, when signal is processed. Hence, it generates error in the process of data transmission and decreases recognition ratio of image and speech data. Therefore, after eliminating those noises, a variety of methods for reconstructing the signal have been researched. Recently, wavelet transform which has time-frequency localization and is possible for multiresolution analysis is applied to many fields of technology. Then threshold-and correlation-based methods are proposed for removing noise. But, conventional methods accept a lot of noise as an edge and are impossible to remove the additive white Gaussian noise (AWGN) and the impulse noise at the same time. Therefore, in this paper we proposed new wavelet-based algorithm for reconstructing degraded signal by noise and compared it with conventional methods.
Keywords
reconstruction; wavelet transform; time-frequency localization; multiresolution analysis;
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