On the sampling theorem for wavelet subspaces
✍ Scribed by Xingwei Zhou; Wenchang Sun
- Publisher
- SP Birkhäuser Verlag Boston
- Year
- 1999
- Tongue
- English
- Weight
- 343 KB
- Volume
- 5
- Category
- Article
- ISSN
- 1069-5869
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📜 SIMILAR VOLUMES
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.
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,