Optimizing binary decision systems by manipulating transmission intervals
Author
Lexa, Michael; Johnson, Don
Date
2003-02-16Abstract
We study the optimization of a binary decision system where quantized (soft) decisions are transmitted across an additive white Gaussian noise channel. We adjust the bit transmission intervals to maximize the Chernoff distance at the output of the channel. At low channel signal-to-noise ratios (when the probability of a bit error is higher), we find unequal transmission intervals yield significant gains in terms of Chernoff distance and the information transfer ratio over the equal transmission case. This paper is a companion paper to Johnson and Rodriguez-Diaz (2003) wherein the gains of unequal bit transmissions are studied in terms of minimum squared error.
Description
Conference Paper
Citation
Published Version
Keyword
Type
Conference paper
Citable link to this page
https://hdl.handle.net/1911/20059Metadata
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