Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Combined system-level redundancy and modular arithmetic for fault tolerant digital signal processing

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

3 Author(s)
Jenkins, W.K. ; Coordinated Sci. Lab., Urbana, IL, USA ; Schnaufer, B.A. ; Mansen, A.J.

This paper proposes combining system-level modular redundancy with the arithmetic modularity of residue number system (RNS) arithmetic to achieve fault tolerance in high speed digital signal processing (DSP) systems. Double, triple, and quadruple modular redundancy are combined with RNS modularity for realizing important DSP computational kernels. The discussion includes the development of the serial-by-modulus (SBM) RNS architecture in which residue digits are processed sequentially in circuits that handle only one modular operation at a given time, thereby sacrificing speed for circuit simplicity. As a potential application of the SBM concept, a variable-word-length sum-of-products signal processing kernel is developed based on a serial-by-modulus RNS architecture. Because the RNS is not a weighted number representation, if the instantaneous dynamic range requirement can be estimated it may be possible to perform the computation with only enough residue digits to provide the necessary dynamic range

Published in:

Computer Arithmetic, 1993. Proceedings., 11th Symposium on

Date of Conference:

29 Jun-2 Jul 1993