Cheng-Tung Ku

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: 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: A linear quality control design based on the reversible round-off non-recursive discrete periodized wavelet transform (RRO-NRDPWT) is proposed for high efficient ECG data compression and results show that the proposed system can obtain much better quality control performance than that of other wavelet-based systems.

TL;DR: A modified run-length coding algorithm associated with an efficient quantization scheme is proposed for the realization of a RRO-NRDPWT-based ECG data compression system that can be competitive to other wavelet-based approaches in compression performance.