Title :
Optimal design of variable fractional-delay digital filters
Author_Institution :
Dept. of Inf. Sci., Toho Univ., Chiba, Japan
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; circuit optimisation; computational complexity; delays; digital filters; least squares approximations; network synthesis; WLS method; continuously adjustable fractional-delay response; discretization-free method; fractional-delay parameters; frequency parameters; optimal coefficients; optimal design; optimal solution; reduced computational complexity; variable FIR filters; variable fractional-delay digital filters; weighted-least-squares approximation; Computational complexity; Digital filters; Digital signal processing; Finite impulse response filter; Frequency response; Interpolation; Lagrangian functions; Polynomials; Sampling methods; Signal processing;
Conference_Titel :
Signal Processing and its Applications, Sixth International, Symposium on. 2001
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6703-0
DOI :
10.1109/ISSPA.2001.949766
