Title :
A quadratic-constrained least-squares approach to the design of digital filter banks
Author :
Nguyen, Truong Q.
Author_Institution :
Lincoln Lab., MIT, Lexington, MA, USA
Abstract :
The author formulates the filter bank design problem as a quadratic-constrained least-square minimization problem. The solution of the minimization problem converges very fast since the cost function and the constraints are quadratic functions with respect to the unknown parameters. The cosine-modulated and the two-channel linear-phase filter banks are designed using the proposed formulation. Compared to other design methods, the proposed technique yields PR (perfect reconstruction) filter banks with much higher stopband attenuation. The filter designed using the new approximation could be used as an initialization filter in a conventional PR filter bank design
Keywords :
digital filters; filtering and prediction theory; least squares approximations; minimisation; approximation; cosine-modulated; cost function; digital filter banks; initialization filter; least-square minimization; perfect reconstruction; quadratic-constrained; stopband attenuation; two-channel linear-phase; Attenuation; Channel bank filters; Cost function; Design optimization; Digital filters; Filter bank; Finite impulse response filter; Laboratories; Lattices; Paper technology;
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
DOI :
10.1109/ISCAS.1992.230255
