Title :
Least-Squares Design of Variable Maximally Linear FIR Differentiators
Author :
Shyu, Jong-Jy ; Pei, Soo-Chang ; Huang, Yun-Da
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan
Abstract :
In this correspondence, the design of variable maximally linear (VML) FIR differentiators by least-squares method is proposed. The VML differentiator is designed such that its maximally flat frequency is adjustable. The used transfer function is formulated in a variable frame, and the Farrow structure can be applied for the implementation of VML FIR differentiators. For comparison, the non-variable optimal design of maximally linear FIR differentiators is also proposed. The experiments show that the variable design indeed possesses the flat characteristics as the independent optimal design.
Keywords :
FIR filters; least mean squares methods; transfer functions; FIR filter; Farrow structure; Lagrange multiplier approach; least-squares design; maximally flat frequency; nonvariable optimal design; transfer function; variable maximally linear FIR differentiators; FIR filter; Lagrange multiplier approach; least-squares method; maximally flat filter; variable filter; variable maximally linear differentiator;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2009.2025809