Abstract
MultiWave data compression algorithm is based on the multiresolution wavelet technique for decomposing Electrocardiogram (ECG) signals into their coarse and successively more detailed components. At each successive resolution, or scale, the data are convolved with appropriate filters and then the alternate samples are discarded. The data compression rates and the percentage distortion levels at each resolution are obtained. The performance of the MultiWave data compression algorithm is shown to be superior to another algorithm.
Original language | English (US) |
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Pages (from-to) | 1462-1469 |
Number of pages | 8 |
Journal | IEICE Transactions on Information and Systems |
Volume | E76-D |
Issue number | 12 |
State | Published - Dec 1 1993 |
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Artificial Intelligence