Why the study?
Does the discrete cosine transform (DCT) provide better data compression than the Walsh-Hadamard transform (WHT) for human vectorcardiographic data?
Does the discrete cosine transform (DCT) provide better data compression than the Walsh-Hadamard transform (WHT) for human vectorcardiographic data?
The discrete cosine transform achieves higher compression ratios (3:1 to 5:1) compared to the Walsh-Hadamard transform for vectorcardiographic data.
Answers are grounded in this paper and cite their sources.
DCT may improve vectorcardiographic data storage; leaves open diagnostic fidelity for clinical use.
In this study the use of two-dimensional transforms for compressing human vectorcardiographic (VCG) data is investigated. The VCG signal is two-dimensional in nature, one dimension consisting of the spatial axes and the other consisting of the samples in time along a particular spatial axis. The discrete cosine transform (DCT) and the Walsh-Hadamard transform (WHT) were used. The variance criterion was employed for selecting components to be retained. The training set was formed from 225 VCG records from three different diagnostic classes. The DCT yielded compression ratios from 3:1 to 5:1, while compression ratios of around 2:1 were obtained with the WHT.
No takes yet. Share an insight, caveat, or question.
Dyer et al. (1985) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: