Name
Abstract | ||
|---|---|---|
The conventional Embedded Zerotree Wavelet (EZW) algorithm takes advantage of the hierarchical relationship among subband coefficients of the pyramidal wavelet decomposition. Nevertheless, it performs worse when used with Wavelet Packets as the hierarchy becomes more complex. In order to address this problem we propose a new technique that considers no relationship among coefficients, and is therefore suitable for use withWavelet Packets. So in this work, an embedded ECG compression scheme is presented using Wavelet Packets that shows better ECG compression performance than the conventional EZW. |
Year | Venue | Keywords |
|---|---|---|
2006 | EUSIPCO | data compression,electrocardiography,medical signal processing,wavelet transforms,ecg compression scheme,ezw algorithm,electrocardiogram,embedded wavelet packets-based algorithm,embedded zerotree wavelet algorithm,pyramidal wavelet decomposition,subband coefficients,ecg compression,electrocardiogram (ecg),embedded zerotree wavelet,wavelet packets (wp),channel bank filter,filter bank,filtering theory |
DocType | ISSN | Citations |
Conference | 2219-5491 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manuel Blanco-Velasco | 1 | 94 | 6.09 |
| F. Cruz-Roldan | 2 | 71 | 6.10 |
| Godino-Llorente, J.I. | 3 | 180 | 14.39 |
| Kenneth E Barner | 4 | 354 | 39.58 |