On sampling theorem, wavelets, and wavelet transforms
β Scribed by Xiang-Gen Xia; Zhen Zhang
- Book ID
- 119789653
- Publisher
- IEEE
- Year
- 1993
- Tongue
- English
- Weight
- 902 KB
- Volume
- 41
- Category
- Article
- ISSN
- 1053-587X
No coin nor oath required. For personal study only.
π 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,