@inproceedings{f4696a02317b409e8b21663891ae22de,
title = "Detection of communication signals using stochastic quantization",
abstract = "We consider the problem of receiving a communication signal using a stochastic signal converter with uncertain quantization levels. Deeply scaled comparator circuits may offer advantages in size and power, but can exhibit random variations in their parameters. We can take advantage of these devices by incorporating the uncertainty of the devices into the system model used for inference. In this paper, we develop a statistical model for such a converter and show how it can be applied to estimate sequences of symbols. We demonstrate the performance of the converter in a simulated communication receiver.",
keywords = "Analog-to-digital conversion, communication, quantization, stochastic systems",
author = "Corey, {Ryan M.} and Singer, {Andrew C.}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 ; Conference date: 08-11-2015 Through 11-11-2015",
year = "2016",
month = feb,
day = "26",
doi = "10.1109/ACSSC.2015.7421382",
language = "English (US)",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE Computer Society",
pages = "1442--1446",
editor = "Matthews, {Michael B.}",
booktitle = "Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015",
}