Title :
Transformation matrix for even-order Lagrange-type variable fractional-delay digital filters
Author_Institution :
Dept. of Inf. Sci., Toho Univ., Funabashi
Abstract :
Lagrange-type variable fractional-delay (VFD) digital filters can be directly implemented as the well-known Farrow structure, but the fixed-coefficient filters (subfilters) are not symmetric or anti-symmetric. This paper presents a transformation matrix for transforming an even-order Lagrange-type VFD filter into a new one whose all the subfilters have either symmetric or anti-symmetric coefficients. As a result, the number of multipliers can be reduced by almost 50%, which not only speeds up the VFD filtering process, but also saves the storage cost for the subfilter coefficients.
Keywords :
delay filters; digital filters; VFD filtering process; even-order Lagrange-type variable fractional-delay digital filters; fixed-coefficient filters; subfilter coefficients; transformation matrix; Digital filters; Digital signal processing; Filtering; Finite impulse response filter; Intelligent structures; Intelligent systems; Lagrangian functions; Polynomials; Signal design; Symmetric matrices;
Conference_Titel :
Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-1355-3
Electronic_ISBN :
978-1-4244-1356-0
DOI :
10.1109/ICIAS.2007.4658570