Scheduled System Maintenance:
On Wednesday, July 29th, IEEE Xplore will undergo scheduled maintenance from 7:00-9:00 AM ET (11:00-13:00 UTC). During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Binomial logic: extending stochastic computing to high-bandwidth signals

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Kuehnel, R. ; Yakima Training Center, Yakima Res. Station, WA, USA

Stochastic logic, also known as stochastic computing, provides very low computation hardware area, fault tolerance, and efficient hardware implementations for high clock rates. It has long been defined as the processing of signals encoded as Bernoulli random sequences. This assumed definition has created its most notable restriction: the requirement to sample much faster than the Nyquist rate, severely limiting the allowable signal bandwidth. We demonstrate that stochastic logic can be extended beyond Bernoulli sequences to include binomial (N, p) representations where N > 1. By expanding the definition of stochastic computing we create a new design methodology that enables the engineer to obtain greater signal bandwidth by increasing the circuit size.

Published in:

Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on  (Volume:2 )

Date of Conference:

3-6 Nov. 2002