20xx年醫(yī)學(xué)專題—eeg-signal-processing-腦電信號(hào)處理方法算法(編輯修改稿)
2024-10-31 17:01 本頁面
【文章內(nèi)容簡(jiǎn)介】 on of PSD Demerits: slow Burg ? arburg(x,p) Merits: accurate approximation of PSD Demerits: line skewing amp。 splitting,MODERN METHODS,BASIC FEATURES,第十三頁，共二十七頁。,MODERN METHODS,BASIC FEATURES,Comparison,第十四頁，共二十七頁。,Principal Component Analysis Use same concept as SVD Decompose data into uncorrelated orthogonal components Autocorrelation matrix is diagonalized Each eigenvector represents a principal component Application ? decomposition, classification, filtering, denoising, whitening.,MODERN METHODS,BASIC FEATURES,第十五頁，共二十七頁。,3,Sparse Representation,Sparse Approximation,1,Sparse Decomposition,2,第十六頁，共二十七頁。,Overcomplete dictionary ? atoms Hilbert space : Signal: Error:
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