Design of one-dimensional and two-dimensional IIR digital filters using IRLS technique

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" Design of one-dimensional and two-dimensional IIR digital filters using IRLS technique "
S. M. Basha

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	1112930
Doc. No	:	TLpq304452157
Main Entry	:	S. M. Basha
Title & Author	:	Design of one-dimensional and two-dimensional IIR digital filters using IRLS technique\ S. M. Basha
College	:	King Fahd University of Petroleum and Minerals (Saudi Arabia)
Date	:	1997
student score	:	1997
Degree	:	M.S.
Page No	:	110
Abstract	:	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.
Subject	:	Applied sciences
	:	Electrical engineering