A simple and efficient method of computing entropy constrained scalar quantizer
A simple and powerful method of designing entropy constrained scalar quantizer is presented in this paper. The method is based upon numerical minimization of the distortion function D instead of solving non-linear equations. Compared to the existing algorithms, this algorithm can be used to a variet...
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Format: | Tagungsbericht |
Sprache: | eng |
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Zusammenfassung: | A simple and powerful method of designing entropy constrained scalar quantizer is presented in this paper. The method is based upon numerical minimization of the distortion function D instead of solving non-linear equations. Compared to the existing algorithms, this algorithm can be used to a variety of distribution functions including real world statistically found ones, and it converges very fast. |
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DOI: | 10.1109/ICOSP.2000.891741 |