@inproceedings{8fb392f422c64764b3be2e00a44199fd,
title = "Stochastic functions using sequential logic",
abstract = "Stochastic computing is a novel approach to real arithmetic, offering better error tolerance and lower hardware costs over the conventional implementations. Stochastic modules are digital systems that process random bit streams representing real values in the unit interval. Stochastic modules based on finite state machines (FSMs) have been shown to realize complicated arithmetic functions much more efficiently than combinational stochastic modules. However, a general approach to synthesize FSMs for realizing arbitrary functions has been elusive. We describe a systematic procedure to design FSMs that implement arbitrary real-valued functions in the unit interval using the Taylor series approximation.",
keywords = "Finite state machines, Rational functions, Reversible Markov chains, Stochastic computing, Taylor series",
author = "Naman Saraf and Kia Bazargan and Lilja, {David J} and Marc Riedel",
year = "2013",
month = jan,
day = "1",
doi = "10.1109/ICCD.2013.6657094",
language = "English (US)",
isbn = "9781479929870",
series = "2013 IEEE 31st International Conference on Computer Design, ICCD 2013",
publisher = "IEEE Computer Society",
pages = "507--510",
booktitle = "2013 IEEE 31st International Conference on Computer Design, ICCD 2013",
note = "2013 IEEE 31st International Conference on Computer Design, ICCD 2013 ; Conference date: 06-10-2013 Through 09-10-2013",
}