Information Rates of Densely Sampled Gaussian Data: Distributed Vector Quantization and Scalar Quantization with Transforms∗


Motivated by the question of the efficiency of dense sensor networks for sampling and encoding spatial random fields, this paper investigates the rates attainable by several lossy schemes for coding a Gaussian random field to a specified mean-squared error distortion based on sampling at asymptotically large rates. In the first, a densely sampled, spatio… (More)


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