ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:MP-P2.3
Session:Error Resilience
Time:Monday, October 9, 14:20 - 17:00
Presentation: Poster
Topic: Image & Video Communications: Source/channel coding
Title: LOW RATE UNIFORM SCALAR QUANTIZATION OF MEMORYLESS GAUSSIAN SOURCES
Authors: Vadim Sheinin; IBM T. J. Watson Research Center 
 Ashish Jagmohan; IBM T. J. Watson Research Center 
Abstract: The low-rate (< 1 bits per sample) operational rate-distortion performance of uniform scalar quantizers for the memoryless Gaussian source is studied. Approximate analytical expressions for the operational rate-distortion function are derived, and the accuracy of the derived function is verified through simulation. It is shown that in the zero-rate limit the derived operational rate-distortion function is first-order optimal with respect to the Shannon lower bound. The derived function is used to study the performance of uniform scalar quantizers for the Gaussian Wyner-Ziv problem. Lastly, the derived low-rate rate-distortion function is used to provide improved low-rate bit allocation for jointly Gaussian vectors.