Abstract
We introduce a novel method for representing and coding wideband signals using permutations. The signal samples are first sorted, and then encoded using differential pulse code modulation. We show that our method is optimal for DPCM coding and develop a novel algorithm for encoding the permutation information efficiently. We show that the new algorithm achieves coding gains over Huffman coding.
Original language | English (US) |
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Title of host publication | Proceedings - 4th IEEE Southwest Symposium on Image Analysis and Interpretation |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 237-241 |
Number of pages | 5 |
ISBN (Electronic) | 0769505953 |
DOIs | |
State | Published - 2000 |
Externally published | Yes |
Event | 4th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2000 - Austin, United States Duration: Apr 2 2000 → Apr 4 2000 |
Publication series
Name | Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation |
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Volume | 2000-January |
Other
Other | 4th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2000 |
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Country/Territory | United States |
City | Austin |
Period | 4/2/00 → 4/4/00 |
Bibliographical note
Publisher Copyright:© 2000 IEEE.
Keywords
- Character generation
- Decoding
- Discrete transforms
- Discrete wavelet transforms
- Encoding
- High performance computing
- Image coding
- Modulation coding
- Time frequency analysis
- Wideband