Yao-Shan Hung

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Error propagation and word-length-growth are two intrinsic effects influencing the performance of wavelet-based ECG data compression methods. To overcome these influences, a non-recursive 1-D discrete periodized wavelet transform (1-D NRDPWT) and a reversible round-off linear transformation (RROLT) theorem are developed. The 1-D NRDPWT can resist truncation(More)
In this paper, a novel electrocardiogram (ECG) data compression method with full wavelet coefficients is proposed. Full wavelet coefficients involve a mean value in the termination level and the wavelet coefficients of all octaves. This new approach is based on the reversible round-off nonrecursive one-dimensional (1-D) discrete periodized wavelet transform(More)
In this paper, a novel ECG data compression method based on the reversible round-off non-recursive 1-D discrete periodized wavelet transform (1-D NRDPWT) is proposed. The reversible round-off 1-D NRDPWT can perform overall stages decomposition with minimum register word length and resist quantization error propagation. A non-linear word length reduction(More)
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