Wavelet sampling theorems for irregularly sampled signals
โ Scribed by Wen Chen; Shuichi Itoh; Junji Shiki
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 623 KB
- Volume
- 82
- Category
- Article
- ISSN
- 1042-0967
No coin nor oath required. For personal study only.
โฆ Synopsis
A formula for recovering the original signal from its irregularly sampled values using wavelets, which extends the Walter sampling theorem to the irregular sampling case and generalizes the PaleyWiener 1/4-Theorem by removing the symmetricity constraint for sampling, is presented.
๐ SIMILAR VOLUMES
Wavelets and the Sampling Theorem ### 2.1 Introduction Processing continuous -time (CT) signals is a major step and requirement in different applications, including communication systems, control systems, power systems, power electronics, image processing, and biomedical applications. Furthermore,