Random wavelet transforms, algebraic geometric coding, and their applications in signal compression and de-noising
Conference
·
OSTI ID:95233
- Univ. of Illinois, Chicago, IL (United States)
- Argonne National Lab., IL (United States). Mathematics and Computer Science Div.
The concepts of random wavelet transforms and discrete random wavelet transforms are introduced. It is shown that these transforms can lead to simultaneous compression and de-noising of signals that have been corrupted with fractional noises. Potential applications of algebraic geometric coding theory to encode the ensuing data are also discussed.
- Research Organization:
- Argonne National Lab., IL (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-31109-ENG-38
- OSTI ID:
- 95233
- Report Number(s):
- ANL/MCS/CP--86649; CONF-9506223--1; ON: DE95013736
- Country of Publication:
- United States
- Language:
- English
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