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NEW DESIGN METHODS FOR TWO-DIMENSIONAL CIRCULARLY SYMMETRIC DIGITAL FILTERS Thesis submitted for the degree of Doctor of Philosophy CHAN Chun Leung B.Sc.(Eng.), MIEEE, MIERE Department of Electrical and Electronic Engineering University of Hong Kong July 1988

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Page 1: NEW DESIGN METHODS FOR TWO-DIMENSIONAL CIRCULARLY ...cronus.uwindsor.ca/units/isplab/ISPLab.nsf... · one-dimensional filters. The first method employs a new spectral transformation

NEW DESIGN METHODS FOR TWO-DIMENSIONAL

CIRCULARLY SYMMETRIC DIGITAL FILTERS

Thesis submitted for the degree of

Doctor of Philosophy

CHAN Chun Leung

B.Sc.(Eng.), MIEEE, MIERE

Department of Electrical and Electronic Engineering

University of Hong Kong

July 1988

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ABSTRACT

Two-dimensional digital filters have found increasing

applications in various areas. The present thesis

concentrates on the topic of the design of a common kind of

two-dimensional digital filters :- circularly symmetric

filters. Although there are a number of existing design

methods for this kind of filters, many of them can be

further improved to give better performance. Numerous new

efficient design methods with high performance will be

described in this thesis. The design methods aims for three

different kinds of filters : (i) zero phase non-recursive

digital filters, (ii) recursive digital filters and (iii)

linear phase recursive digital filters.

For the design of zero-phase circular symmetric

non-recursive digital filters, a method of an enhanced

McClellan transformation is introduced. It can give good

circular approximation even at large radii of frequency.

Three design methods are introduced for circularly

symmetric recursive digital filters. In order to reduce the

computational time, all these methods make use of the

ii

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one-dimensional filters. The first method employs a new

spectral transformation while the other two methods use

non-linear optimization.

For the linear phase circularly symmetric digital filter

design, three new methods are introduced. In order to

reduce the computational time and achieve the convergence of

iteration easily, the numerator and the denominator of the

filter transfer function are designed separately. In the

linear phase approximation, the first method employs the

hypergeometric series. The second method utilizes the

Bessel polynomial while the third method uses non-linear

optimization.

All the newly introduced methods are easy-to-use. Most

of them can give digital filters suitable for implementation

by VLSI second-order digital filter modules. Some of them

use sum .of powers-of-two values as the filter coefficients

so that the designed filters are suitable for multiplierless

filter implementation. Besides, some of the methods have

been further extended for multidimensional ellipsoidally and

spherically symmetric digital filter designs. Finally, for

each method, several typical examples will be given to

illustrate its performance.

iii

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