On symmetric multiple description coding

We derive a single-letter lower bound on the minimum sum rate of multiple description coding with symmetric distortion constraints. For the binary uniform source with the Hamming distortion measure, this lower bound can be evaluated with the aid of a certain minimax theorem. A similar minimax theore...

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Veröffentlicht in:2013 IEEE Information Theory Workshop (ITW) S. 1 - 5
Hauptverfasser: Lin Song, Shuo Shao, Jun Chen
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.09.2013
Schlagworte:
Distortion measurement
Encoding
Joints
Markov processes
Tin
Vectors
Zinc
ISBN:9781479913213, 1479913219
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Abstract We derive a single-letter lower bound on the minimum sum rate of multiple description coding with symmetric distortion constraints. For the binary uniform source with the Hamming distortion measure, this lower bound can be evaluated with the aid of a certain minimax theorem. A similar minimax theorem is established in the quadratic Gaussian setting, which is further leveraged to analyze the special case where the minimum sum rate subject to two levels of distortion constraints (with the second level imposed on the complete set of descriptions) is attained; in particular, we determine the minimum achievable distortions at the intermediate levels.
AbstractList We derive a single-letter lower bound on the minimum sum rate of multiple description coding with symmetric distortion constraints. For the binary uniform source with the Hamming distortion measure, this lower bound can be evaluated with the aid of a certain minimax theorem. A similar minimax theorem is established in the quadratic Gaussian setting, which is further leveraged to analyze the special case where the minimum sum rate subject to two levels of distortion constraints (with the second level imposed on the complete set of descriptions) is attained; in particular, we determine the minimum achievable distortions at the intermediate levels.
Author Lin Song
Shuo Shao
Jun Chen
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  organization: Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
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  surname: Shuo Shao
  fullname: Shuo Shao
  organization: Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
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  surname: Jun Chen
  fullname: Jun Chen
  organization: Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
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Snippet We derive a single-letter lower bound on the minimum sum rate of multiple description coding with symmetric distortion constraints. For the binary uniform...
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StartPage 1
SubjectTerms Distortion measurement
Encoding
Joints
Markov processes
Tin
Vectors
Zinc
Title On symmetric multiple description coding
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