Title :
The design of weighted minimax quadrature mirror filters
Author :
Lim, Y.C. ; Yang, Rong Huan ; Koh, Soo-Ngee
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
fDate :
5/1/1993 12:00:00 AM
Abstract :
A technique for converting the constrained nonlinear optimization problem encountered in the design of weighted minimax quadrature mirror filters into an iterative unconstrained nonlinear optimization problem is presented. This renders the design of weighted minimax quadrature mirror filters possible. The technique is very efficient, typically taking about seven iterations to converge. A rapidly converging iterative procedure for solving the above nonlinear unconstrained optimization problem is also presented. This procedure typically requires less than five iterations to converge
Keywords :
digital filters; iterative methods; optimisation; constrained nonlinear optimization; convergence; design; iterative unconstrained nonlinear optimization; weighted minimax quadrature mirror filters; Decoding; Filter bank; Frequency; Hydrogen; Interpolation; Least squares methods; Low pass filters; Minimax techniques; Mirrors; Speech;
Journal_Title :
Signal Processing, IEEE Transactions on
