ECG data compression using truncated singular value decomposition
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Cites methods from "ECG data compression using truncate..."
...In the transform-based methods [11-22], the domain of the original signal is transformed into another domain by using the orthogonal transformations such as principal component analysis (PCA) [11,12], discrete cosine transformation (DCT) [13], singular value decomposition (SVD) [14] and wavelet transformation (WT) [15-22]....
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Cites background from "ECG data compression using truncate..."
...TSVD has numerous applications in science, engineering, and math with examples including linear system identification [1], [2], collaborative filtering [3], [4], low-rank matrix denoising [5], [6], data compression [7], and numerical partial differential equations [8]....
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14 citations
Cites methods from "ECG data compression using truncate..."
...ECG compression methods are proposed based on discrete cosine transform and singular value decomposition in [9, 12] and in [10], respectively....
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14 citations
References
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34,729 citations
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...Therefore, the SVD of the matrix can be performed as [20], where are the left and right singular vectors, respectively....
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690 citations
"ECG data compression using truncate..." refers methods in this paper
...The compression techniques for an ECG have been extensively discussed [ 1 ] and can be classified into the following three major categories....
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521 citations
445 citations
"ECG data compression using truncate..." refers methods in this paper
...[23]) provides a better performance than previous wavelet-based methods (Hilton [22] and Djohan et al....
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374 citations
"ECG data compression using truncate..." refers methods in this paper
...2) Direct time-domain techniques: including amplitude zone time epoch coding (AZTEC), delta coding, and entropy coding [2]–[4]....
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