Title :
A practical method for designing FIR digital filters in the complex domain
Author_Institution :
State Univ. of New York, Buffalo, NY
fDate :
8/1/1997 12:00:00 AM
Abstract :
A new method is presented for the design of FIR fillers in the complex domain. The method converts the complex approximation problem into an equivalent real nonlinear optimization problem, which is solved by successive linearization using an effective geometrical linearization technique. The method converges rapidly, and the solution has a guaranteed accuracy. It also has the flexibility of allowing addition of extra constraints such as constant group delay constraints and transition-band magnitude overshoot constraints. Numerical examples are presented to illustrate the performance of the method
Keywords :
FIR filters; convergence of numerical methods; digital filters; linear programming; linearisation techniques; optimisation; FIR digital filters; complex approximation problem; complex domain; constant group delay constraints; convergence; design method; effective geometrical linearization technique; equivalent real nonlinear optimization problem; numerical examples; successive linearization; transition-band magnitude overshoot constraints; Chebyshev approximation; Delay; Design methodology; Digital filters; Finite impulse response filter; Frequency response; Iterative algorithms; Linear programming; Linearization techniques; Optimization methods;
Journal_Title :
Signal Processing, IEEE Transactions on