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Entropy | Vol.20, Issue.6 | | Pages
Rate-Distortion Function Upper Bounds for Gaussian Vectors and Their Applications in Coding AR Sources
In this paper, we give upper bounds for the rate-distortion function (RDF) of any Gaussian vector, and we propose coding strategies to achieve such bounds. We use these strategies to reduce the computational complexity of coding Gaussian asymptotically wide sense stationary (AWSS) autoregressive (AR) sources. Furthermore, we also give sufficient conditions for AR processes to be AWSS.
Original Text (This is the original text for your reference.)
Rate-Distortion Function Upper Bounds for Gaussian Vectors and Their Applications in Coding AR Sources
In this paper, we give upper bounds for the rate-distortion function (RDF) of any Gaussian vector, and we propose coding strategies to achieve such bounds. We use these strategies to reduce the computational complexity of coding Gaussian asymptotically wide sense stationary (AWSS) autoregressive (AR) sources. Furthermore, we also give sufficient conditions for AR processes to be AWSS.
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ar processes coding strategies ratedistortion function rdf gaussian vector computational complexity coding gaussian asymptotically wide sense stationary awss autoregressive ar sources
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,.Rate-Distortion Function Upper Bounds for Gaussian Vectors and Their Applications in Coding AR Sources. 20 (6),.
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