| Paper: | SPCOM-P3.4 | ||
| Session: | Joint Source/Channel Coding and Quantization | ||
| Time: | Wednesday, May 19, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing for Communications: Compression, Coding, and Modulation | ||
| Title: | ON EMBEDDED SCALAR QUANTIZATION | ||
| Authors: | Gary J. Sullivan; Microsoft Corporation | ||
| Abstract: | This paper studies the rate-distortion performance of scalar quantizers having a large (effectively infinite) number of steps and using the same step size for all steps having non-zero reconstruction values. Quantizers of this form have been shown to have good performance for a variety of sources, and are precisely optimal for the Laplacian source. Performance is particularly investigated for embedded quantization, in which the representation of a source quantity is refined successively by forming finer quantizers from further segmenting the steps of coarser quantizer constructions. Although the use of a double-wide dead-zone has dominated prior embedded quantization practice, it is shown that any rational number can be maintained as a stable dead-zone ratio. Two forms are investigated in more depth – quantizers with dead-zone ratios of 1 and 2, and a ratio of 1 is shown to often provide a significant performance advantage (up to 1 dB). Performance is explored primarily in the context of the generalized Gaussian pdf using the squared-error distortion measure, but should also apply in other contexts. | ||
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