Clustering Signals Using Wavelets
Clustering Signals Using Wavelets
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使用小波对信号进行聚类
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
Jean
中科院分区：
文献类型：
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作者：
Michel Misiti;Yves Misiti;G. Oppenheim;Jean
A wavelet-based procedure for clustering signals is proposed. It combines an individual signal preprocessing by wavelet denoising, a dimensionality reduction step by wavelet compression and a classical clustering strategy applied to a suitably chosen set of wavelet coefficients. The ability of wavelets to cope with signals of arbitrary or time-dependent regularity as well as to concentrate signal energy in few large coefficients, offers a useful tool to carry out both significant noise reduction and efficient compression. A simulated example and an electrical dataset are considered to illustrate the value of introducing wavelets for clustering such complex data.
