DocumentCode
2901598
Title
Design of IIR Variable Fractional Delay Digital Filters
Author
Kwan, Hon Keung ; Jiang, Aimin
Author_Institution
Dept. of Electr. & Comput. Eng., Windsor Univ., Ont.
fYear
2007
fDate
27-30 May 2007
Firstpage
2714
Lastpage
2717
Abstract
In this paper, a novel method for designing IIR variable fractional delay (VFD) digital filters with variable and fixed denominator is presented. First of all, a peak-constrained weighted least-squares (PCWLS) method is employed to design a set of FIR fixed fractional delay (FD) filters according to given specifications. The PCWLS FIR filters are implemented by the projected least-squares (PLS) algorithm. An iterative WLS model reduction technique is utilized to design denominators, which can guarantee the stability of designed IIR VFD filter if the iteration converges. The numerator of IIR fixed FD filters can be designed by two approaches: The Approach 1 solves linear equations based on the orthogonality principle; and the Approach 2 formulates the numerator design problem as a standard quadratic programming (QP) problem. The coefficients of IIR fixed FD filters are finally approximated by polynomial functions of FD. Three sets of examples are given to demonstrate the effectiveness of the proposed method.
Keywords
IIR filters; least squares approximations; quadratic programming; reduced order systems; IIR filter; fixed denominator; numerator design problem; peak-constrained weighted least-squares method; projected least-squares algorithm; quadratic programming problem; variable denominator; variable fractional delay digital filters; Delay; Design methodology; Digital filters; Finite impulse response filter; IIR filters; Iterative algorithms; Nonlinear filters; Quadratic programming; Reduced order systems; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
Conference_Location
New Orleans, LA
Print_ISBN
1-4244-0920-9
Electronic_ISBN
1-4244-0921-7
Type
conf
DOI
10.1109/ISCAS.2007.378522
Filename
4253238
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