Title :
Reduction of Symmetric Complex Filters
Author :
Bruekers, Fons ; Kalker, Ton
Author_Institution :
Philips Res. Labs., Eindhoven, Netherlands
Abstract :
Due to their linear-phase property, symmetric filters are an interesting class of finite-impulse-response (FIR) filters. Moreover, symmetric FIR filters allow an efficient implementation. In this paper we extend the classical definition of Hermitian symmetry to a more general symmetry that is also applicable to complex filters. This symmetry is called generalized-Hermitian symmetry. We show the usefulness of this definition as it allows for a unified treatment of even and odd-length filters. Central in this paper is a theorem on the reduction of generalized-Hermitian-symmetric filters to Hermitian-symmetric filters, both with finite precision coefficients. A constructive proof of this theorem is presented and an associated procedure for reducing generalized-Hermitian-symmetric filters is derived. Two of the examples show the application of the reduction procedure and the achieved savings on arithmetic costs. Finally, all three examples show that a special instance of the generalized-Hermitian-symmetric filters with finite precision coefficients, may have lower arithmetic costs than the Hermitian-symmetric filter from which it is derived.
Keywords :
FIR filters; Hermitian-symmetric filters; finite-impulse-response filters; linear-phase property; symmetric FIR filters; symmetric complex filters reduction; Complex filters; FIR filters; digital filters; finite precision; linear-phase filters; symmetry;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2009.2028092