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The PLSI Method of Stabilizing Two-Dimensional Nonsymmetric Half-Plane Recursive Digital Filters

By Gangatharan N and Reddy PS


<p/> <p>Two-dimensional (2D) recursive digital filters find applications in image processing as in medical X-ray processing. Nonsymmetric half-plane (NSHP) filters have definitely positive magnitude characteristics as opposed to quarter-plane (QP) filters. In this paper, we provide methods for stabilizing the given 2D NSHP polynomial by the planar least squares inverse (PLSI) method. We have proved in this paper that if the given 2D unstable NSHP polynomial and its PLSI are of the same degree, the PLSI polynomial is always stable, irrespective of whether the coefficients of the given polynomial have relationship among its coefficients or not. Examples are given for 2D first-order and second-order cases to prove our results. The generalization is done for the <inline-formula><graphic file="1687-6180-2003-381073-i1.gif"/></inline-formula>th order polynomial.</p

Topics: PLSI, NSHP, stability, Lagrange, autocorrelation, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Technology, T, DOAJ:Electrical and Nuclear Engineering, DOAJ:Technology and Engineering, Telecommunication, TK5101-6720, Electronics, TK7800-8360
Publisher: Springer
Year: 2003
DOI identifier: 10.1155/S1110865703303099
OAI identifier:
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