DOI: 10.1109/itcom.1999.781436
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Abstract: The Gaussian TVA.R process is of primary interest because of its wide applicability to the modeling real-world sources, e.g., speech signals and rasterized image signals. We then investigated and constructed the rate-distortion function R ( D ) for the class of time-varying nonstationary Gaussian signals. The numerical evaluations of the R ( D ) function for 1-D Gaussian TVAR processes are also presented.

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