Title :
Optimal design of variable fractional-delay digital filters
Author_Institution :
Dept. of Inf. Sci., Toho Univ., Chiba, Japan
fDate :
6/23/1905 12:00:00 AM
Abstract :
This paper presents a closed-form solution for obtaining the optimal coefficients of variable FIR filters with continuously adjustable fractional-delay (FD) response. The design is formulated as a weighted-least-squares (WLS) approximation problem without discretizing the frequency and fractional-delay parameters. Compared with the existing WLS method, the discretization-free one can yield a closed-form optimal solution with considerably reduced computational complexity
Keywords :
FIR filters; delay filters; digital filters; filtering theory; frequency response; least squares approximations; signal processing; FIR filters; WLS method; closed-form solution; computational complexity; continuously adjustable fractional-delay response; digital signal processing; optimal coefficients; variable fractional-delay digital filters; weighted-least-squares approximation; Closed-form solution; Computational complexity; Digital filters; Digital signal processing; Electronic mail; Finite impulse response filter; Frequency response; Information science; Lagrangian functions; Polynomials;
Conference_Titel :
Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
Print_ISBN :
0-7803-7011-2
DOI :
10.1109/SSP.2001.955295
