Analysis and further results on adaptive entropy-coded quantization

Daniel Harrison, James Modestino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Summary form only given. An adaptive entropy-coded quantizer (AECQ) was recently investigated that used buffer-state feedback to control the quantizer characteristics. Simulation results demonstrated that the buffer underflow/overflow problems that are normally associated with entropy coding could be reduced with minimal rate or distortion penalty. The authors have eliminated buffer underflow and overflow problems by effectively imposing reflecting walls at the buffer endpoints. They developed a method to solve explicitly for the buffer-state probability distribution and the resulting average distortion when memoryless buffer-state feedback is used and when the source is stationary and memoryless. This method was used as a tool in the design of low-distortion AECQ systems, with particular attention to the development of source scale-invariant distortion performance. The introduction of reflecting buffer walls in a properly designed AECQ system resulted in a very small rate-distortion performance penalty. The resulting AECQ system provides an extremely simple and effective solution to the stationary memoryless source coding problem for a wide range of source types.

Original languageEnglish
Title of host publicationUnknown Host Publication Title
Place of PublicationNew York, NY, USA
PublisherPubl by IEEE
Volume25 n 13
StatePublished - Dec 1 1988

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Analysis and further results on adaptive entropy-coded quantization'. Together they form a unique fingerprint.

  • Cite this

    Harrison, D., & Modestino, J. (1988). Analysis and further results on adaptive entropy-coded quantization. In Unknown Host Publication Title (Vol. 25 n 13). Publ by IEEE.