Design of one-dimensional and two-dimensional IIR digital filters using IRLS technique
General Material Designation
[Thesis]
First Statement of Responsibility
S. M. Basha
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
King Fahd University of Petroleum and Minerals (Saudi Arabia)
Date of Publication, Distribution, etc.
1997
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
110
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
M.S.
Body granting the degree
King Fahd University of Petroleum and Minerals (Saudi Arabia)
Text preceding or following the note
1997
SUMMARY OR ABSTRACT
Text of Note
In this thesis a design technique called iteratively reweighted least-squares (IRLS) is used to design 1-D and 2-D IIR digital filters in the Lp norm sense. In this technique, by selecting the weights in each iteration based on the error in previous iterations, a solution to the Lp approximation problem is found by solving a weighted least-squares problem. In order to successfully design the IIR digital filters using the IRLS technique a convergence control parameter is determined in a manner suitable for the IIR filter design problem. A comparison of various 1-D and 2-D IIR filters designed using the IRLS technique and the Davidon Fletcher Powell (DFP) unconstrained optimization technique is also made, and the relative computational complexity of the two techniques is discussed. Comparisons with some other recent techniques both for 1-D and 2-D IIR digital filters are also presented.