Abstract
The notions of time, frequency, and scale are generalized using concepts from unitary operator theory and applied to time-frequency analysis, in particular the wavelet and short-time Fourier transform orthonormal bases and Cohen's class of bilinear time-frequency distributions. The result is an infinite number of new signal analysis and processing tools that are implemented simply by prewarping the signal by a unitary transformation, performing standard processing techniques on the warped signal, and then (in some cases) unwarping the resulting output. These unitarily equivalent, warped signal representations are useful for representing signals that are well modeled by neither the constant-bandwidth analysis of time-frequency techniques nor the proportional-bandwidth analysis of time-scale techniques.
| Original language | English (US) |
|---|---|
| Title of host publication | Digital Speech Processing |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Volume | 3 |
| ISBN (Print) | 0780309464 |
| State | Published - Jan 1 1993 |
| Event | 1993 IEEE International Conference on Acoustics, Speech and Signal Processing - Minneapolis, MN, USA Duration: Apr 27 1993 → Apr 30 1993 |
Other
| Other | 1993 IEEE International Conference on Acoustics, Speech and Signal Processing |
|---|---|
| City | Minneapolis, MN, USA |
| Period | 4/27/93 → 4/30/93 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering