Title :
Minimax Design of Variable Fractional-Delay FIR Digital Filters by Iterative Weighted Least-Squares Approach
Author :
Shyu, Jong-Jy ; Pei, Soo-Chang ; Chan, Cheng-Han ; Huang, Yun-Da
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Kaohsiung, Kaohsiung
fDate :
6/30/1905 12:00:00 AM
Abstract :
In this letter, an iterative weighted least-squares (LS) approach is proposed for the design of variable fractional-delay (VFD) finite impulse response (FIR) digital filters in minimax sense. For deriving the elements of relevant matrices, there is no need for numerical integration or closed-form formulation and they obey given specifications. Comparing with the existing method, the proposed method does not lead to a misleading problem, and the performance of convergence is also better. Especially, it is found that the used LS weighting function is only dependent on the frequency, not on the tunable parameter, which makes it easier for the minimax design of VFD FIR digital filters.
Keywords :
FIR filters; iterative methods; least squares approximations; logic design; minimax techniques; LS weighting function; finite impulse response digital filters; iterative weighted least-squares approach; minimax design; tunable parameter; variable fractional-delay FIR digital filters; Convergence; Delay; Digital filters; Finite impulse response filter; Frequency response; Iterative methods; Minimax techniques; Signal design; Signal processing; Signal processing algorithms; Finite impulse response (FIR) digital filter; iterative weighted least-squares approach; variable filter; variable fractional-delay filter;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2008.2005049
