eeg-signal-processing-腦電信號(hào)處理方法算法(編輯修改稿)
2024-10-03 09:04 本頁(yè)面
【文章內(nèi)容簡(jiǎn)介】 dow? good resolution of PSD Demerits: slow ?Burg ? arburg(x,p) Merits: accurate approximation of PSD Demerits: line skewing splitting modern methods Basic features 第十三頁(yè)，共二十七頁(yè)。 modern methods Basic features?Comparison 第十四頁(yè)，共二十七頁(yè)。 ?Principal Component Analysis ?Use same concept as SVD ?Depose data into uncorrelated orthogonal ponents ?Autocorrelation matrix is diagonalized ?Each eigenvector represents a principal ponent ?Application ? deposition, classification, filtering, denoising, whitening. modern methods Basic features第十五頁(yè)，共二十七頁(yè)。 3 Sparse Representation Sparse Approximation 1 Sparse Deposition 2 第十六頁(yè)，共二十七頁(yè)。 ?Overplete dictionary atoms ?Hilbert space : ?
環(huán)評(píng)公示相關(guān)推薦
鄂ICP備17016276號(hào)-1