ECG data compression using truncated singular value decomposition
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Cites background from "ECG data compression using truncate..."
...SVD takes the periodic input matrix and produces the singular vales of the matrix [118]....
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Cites methods from "ECG data compression using truncate..."
...Matrix decomposition or matrix factorization techniques like Singular Value Decomposition (SVD) are well known techniques for dimensionality reduction and compression [25], [26]....
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Additional excerpts
...The SVD [10], [11] of a matrix Xm×n is given as X = UΣV where U ∈ Rm×m, V ∈ Rn×n, and Σm×n=[diag{σ1, · · · , σr}:0], r = min(m, n), and σ1, σ2, · · · , σr are the singular values....
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References
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34,729 citations
"ECG data compression using truncate..." refers background in this paper
...Therefore, the SVD of the matrix can be performed as [20], where are the left and right singular vectors, respectively....
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"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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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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