By Topic

Problem dimensionality reduction in design of optimal IIR filters

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)
Tarczynski, A. ; Univ. of Westminster, London

A typical design of a digital IIR filter that is optimal in the sense of the weighted least squares criterion is performed by using a numerical optimisation procedure capable of searching for local minima of highly non-linear functions of vector arguments. Normally such a search is carried out inside a multidimensional space of filter parameters or, if constraints are imposed, inside a subset of the space. The dimensionality of the space is therefore equal to the number of tuneable parameters of the filter. In this article we show that this approach to designing WLS optimal filters can be effectively changed in such a way that the number of dimensions of the search space is significantly smaller than the number of tuneable coefficients. The proposed modification not only reduces the dimensionality of the filter design problem. It can also improve robustness of the design procedure and reduce errors by delivering more accurate approximations of the local minima.

Published in:

Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on  (Volume:5 )

Date of Conference:

2002