By Topic

Quantization error analysis of the distributed arithmetic

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)

This paper gives a detailed description of coefficient quantization errors of the distributed arithmetic, which means a recently introduced technique for the realization of the inner product of two vectors where conventional multipliers and adders are replaced by a memory and an accumulator. For systems excited by uniformly distributed white noise, an expression for the total power of the output error is derived. It may be compared with an earlier error analysis which, as will be shown, is too pessimistic for small vector lengths. In that case the total round-off error is partly correlated with the input signals while for large vector lengths usual errors due to the quantization of individual coefficients vanish and thus the total error can be described by an independent noise source at the output.

Published in:

Circuits and Systems, IEEE Transactions on  (Volume:24 ,  Issue: 12 )