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    Polar coordinate quantizers that minimize mean-squared error

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    http://hdl.handle.net/10217/741
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    Abstract
    A quantizer for complex data is defined by a partition of the complex plane and a representation point associated with each cell of the partition. A polar coordinate quantizer independently quantizes the magnitude and phase angle of complex data. We derive design equations for minimum mean-squared error polar coordinate quantizers and report some interesting theoretical results on their performance, including performance limits for "phase-only" representations. The results provide a concrete example of a biased estimator whose mean-squared error is smaller than that of any unbiased estimator. ...
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    Author(s)
    Scharf, Louis L.; Voran, Stephen D.

    Date Issued
    1994
    Format
    born digital; articles
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    • Faculty Publications - Department of Electrical and Computer Engineering

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