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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pulido, J. Zarowski, C.J. |
| Copyright Year | 2003 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada (Pulido, J.; Zarowski, C.J.) |
| Abstract | The wavelet transform is an innovative tool for function approximation and signal compression. It has some advantages in the analysis of signals compared to other orthogonal systems. However, as with other classical orthogonal systems, it presents problems as excessive oscillations in the partial sums and the Gibbs phenomenon can arise S. E. Kelly (1996). In other orthogonal systems this problem is solved using summability methods but these methods cannot be implemented as they are in wavelet expansions. Walter and Shen (1998), propose an alternative method for wavelet systems. However, its practical implementation presents computational problems. This paper considers a modification of Walter and Shen (1998), for approximation of signals hi the interval [0, /spl infin/] where, through the truncation of sums, we obtain a better computational behavior. |
| Starting Page | 573 |
| Ending Page | 576 |
| File Size | 179073 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780379780 |
| DOI | 10.1109/PACRIM.2003.1235846 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-08-28 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sampling methods Function approximation Wavelet packets Wavelet transforms Signal analysis Wavelet analysis Convergence Multiresolution analysis Kernel |
| Content Type | Text |
| Resource Type | Article |
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