King-Chu Hung

TL;DR: The 1-D reversible round-off nonrecursive discrete periodic wavelet transform is applied to overcome the WLG magnification effect in terms of the mechanisms of error propagation resistance and significant normalization of octave coefficients to enable the design of a multivariable quantization scheme that can obtain a compression performance with the approximate characteristics of linear distortion.

TL;DR: A novel electrocardiogram (ECG) data compression method with full wavelet coefficients is proposed, based on the reversible round-off nonrecursive one-dimensional discrete periodized wavelet transform (1-D NRDPWT), which performs overall stages decomposition with minimum register word length and resists truncation error propagation.

TL;DR: The experimental results show that the new EP-based quantization scheme can obtain high compression performance and keep linear distortion behavior efficiency, and guarantees fast quality control even for the prediction model mismatching practical distortion curve.

TL;DR: A non-recursive 1-D discrete periodized wavelet transform and a reversible round-off linear transformation (RROLT) theorem are developed that can resist truncation error propagation in decomposition processes and can obtain a superior compression performance, particularly in high CR situations.

TL;DR: Experimental results reveal that the proposed feature is suitable for combination with some morphometric parameters for performance improvement, and the performance differences in the three ImageJ-generated datasets derived by variant setting parameters are not significant.