Abstract
We investigate the scale-shift operator for discrete-time signals via the action of the hyperbolic Blaschke group. Practical implementation issues are discussed and given for any arbitrary scale, in the framework of very classical discrete-time linear filtering. Our group theoretical standpoint leads to a purely harmonic analysis definition of the Mellin transform for discrete-time signals. Explicit analytical expressions of the atoms of the discrete-time Fourier-Mellin decomposition are provided along with a simple algorithm for their computation. The so-defined scale-shift operator also allows us to establish a mathematical equivalence in between the discrete-time wavelet coefficients of a given discrete-time signal and the corresponding Voice-transform generated by a well-chosen unitary representation of the Hyperbolic Blaschke group, in the classical Hardy space of the unit disc.
| Original language | English |
|---|---|
| Article number | 108830 |
| Journal | Signal Processing |
| Volume | 204 |
| DOIs | |
| State | Published - 1 Mar 2023 |
| Externally published | Yes |
Keywords
- Discrete Wavelet Transform
- Discrete-time Scale-Shift
- Hyperbolic Blaschke group
- Mellin transform
- Voice-Transform
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
Fingerprint
Dive into the research topics of 'Scale-Shift and Harmonic analysis approach to the Mellin transform for Discrete-time signals'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver