ECG data compression using truncated singular value decomposition
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...In this paper, we shall explore the simple SV count as a fitness criterion in the PSO optimization framework because of its simplicity and effectiveness, as shown in the classification of hyperspectral remote sensing images [16]....
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...Data compression using the SVD has been extensively studied, for example in the compression of ECG signals [6] and for images [7], [8]....
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...and the energy ratio [6] represents the fraction of the energy retained in the rank- approximation...
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...[10,11,16], and image compression and reconstruction [1,2, 9 ,15,19,20,22,27,28]....
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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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...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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...[23]) provides a better performance than previous wavelet-based methods (Hilton [22] and Djohan et al....
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"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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