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Optimal One-Bit Quantization
Snowbird, Utah March 29-March 31
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DCC.2005.66Data Compression Conference (DCC'05)
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Alessandro Magnani, Stanford University, CA
Arpita Ghosh, Stanford University, CA
Robert M. Gray, Stanford University, CA
We consider the problem of finding the optimal one-bit quantizer for symmetric source distributions, with the Euclidean norm as the measure of distortion. For fixed rate quantizers, we prove that for (symmetric) monotonically decreasing source distributions with ellipsoidal level curves, the centroids of the optimal 1-bit quantizer must lie on the major axis of the ellipsoids. Under the same assumptions on the source distribution, the centroids of the optimal one-bit variable-rate quantizer lie on one of the axes of the ellipsoid. If further, the source distribution f(x) is log-concave in x, the optimal 1-bit xed-rate quantizer is unique and symmetric about the origin. (The Gaussian is an example of a distribution that satisfies all these conditions.) Under a further set of conditions on the source distributions, we show that there is a threshold below which the optimal xed rate and variable rate quantizer are the same.
Citation:
Alessandro Magnani, Arpita Ghosh, Robert M. Gray, "Optimal One-Bit Quantization," dcc, pp.270-278, Data Compression Conference (DCC'05), 2005
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