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EEG Signal Compression by Multi-scale Wavelets and Coherence analysis and denoising by Continuous Wavelets Transform  

이승훈 (3B 시스템)
윤동한 (금오공과대학교)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.41, no.3, 2004 , pp. 221-229 More about this Journal
Abstract
The Continuous Wavelets Transform project signal f(t) to "Time-scale"plan utilizing the time varied function which called "wavelets". This Transformation permit to analyze scale time dependence of signal f(t) thus the local or global scale properties can be extracted. Moreover, the signal f(t) can be reconstructed stably by utilizing the Inverse Continuous Wavelets Transform. In this paper, the EEG signal is analyzed by wavelets coherence method and the De-noising procedure is represented.
Keywords
Continuous wavelets Transform; Time-scale analysis; EEG signal; Denoising; Time-scale Filter;
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