By Topic

Comments on "Finite word-length effects of pipelined recursive digital filters" [with reply]

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
$33 $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)
L. B. Jackson ; Dept. of Electr. & Comput. Eng., Rhode Island Univ., Kingston, RI, USA ; KyungHi Chang ; W. G. Bliss

The author comments that it is generally inappropriate to use stochastic models for coefficient quantization errors in digital filters, as proposed by Chang and Bliss (see ibid., vol.42, p.1983-95, Aug. 1994), since the associated effects are deterministic and amenable to linear analysis. Chang et. al. reply that the statistical analysis of coefficient quantization noise in digital filters is a useful technique because it gives theoretical and practical results without resorting to lengthy case-by-case trials. The realization problem of digital filters can thus be simplified analytically by statistical approaches. Furthermore, statistical approaches have an advantage of supplying unified tools for round-off and coefficient quantization noise.

Published in:

IEEE Transactions on Signal Processing  (Volume:43 ,  Issue: 12 )