Abstract
Nonlinearities are often encountered in the analysis and processing of real-world signals. This paper develops new signal decompositions for nonlinear analysis and processing. The theory of tensor norms is employed to show that wavelets provide an optimal basis for the nonlinear signal decompositions. The nonlinear signal decompositions are also applied to signal processing problems.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
| Pages | 260-271 |
| Number of pages | 12 |
| Volume | 2825 |
| DOIs | |
| State | Published - 1996 |
| Event | Wavelet Applications in Signal and Image Processing IV - Denver, CO, United States Duration: Aug 6 1996 → Aug 6 1996 |
Other
| Other | Wavelet Applications in Signal and Image Processing IV |
|---|---|
| Country/Territory | United States |
| City | Denver, CO |
| Period | 8/6/96 → 8/6/96 |
Keywords
- nonlinear signal processing
- tensor spaces
- wavelets
ASJC Scopus subject areas
- Applied Mathematics
- Computer Science Applications
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
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