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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shamoon, T. Heegard, C. |
| Copyright Year | 1994 |
| Description | Author affiliation: Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA (Shamoon, T.; Heegard, C.) |
| Abstract | A new adaptive algorithm for lossless compression of digital audio is presented. The algorithm is derived from ideas from both dictionary coding and source-modeling. An adaptive Lempel-Ziv (1977) style fixed dictionary coder is used to build a source model that fuels an arithmetic coder. As a result, variable length strings drawn from the source alphabet are mapped onto variable length strings that are on average shorter. The authors show that this algorithm outperforms arithmetic coding or Lempel-Ziv coding working alone on the same source (in their experiments the source is an ADPCM quantizer). Adaptation heuristics for the Lempel-Ziv coder, relevant data structures, and a discussion of audio source modeling (entropy estimation) experiments are described. While the algorithm presented herein is designed to be used as a post-compressor in a lossy audio transform coding system, it is well suited for any instance where non-stationary source outputs must be compressed.< |
| Starting Page | 430 |
| Ending Page | 439 |
| File Size | 566850 |
| Page Count | 10 |
| File Format | |
| ISBN | 0818656379 |
| DOI | 10.1109/DCC.1994.305950 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-03-29 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Compression algorithms Audio coding Entropy Bit rate Audio compression Frequency Adaptive algorithm Dictionaries Arithmetic Transform coding |
| Content Type | Text |
| Resource Type | Article |
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