DocumentCode :
767784
Title :
Digital filter bank design quadratic-constrained formulation
Author :
Nguyen, Truong Q.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Volume :
43
Issue :
9
fYear :
1995
fDate :
9/1/1995 12:00:00 AM
Firstpage :
2103
Lastpage :
2108
Abstract :
Formulate the filter bank design problem as an quadratic-constrained least-squares minimization problem. The solution of the minimization problem converges very quickly since the cost function as well as the constraints are quadratic functions with respect to the unknown parameters. The formulations of the perfect-reconstruction cosine-modulated filter bank, of the near-perfect-reconstruction pseudo-QMF bank, and of the two-channel biorthogonal linear-phase filter bank are derived using the proposed approach. Compared with other design methods, the proposed technique yields PR filter banks with much higher stopband attenuation. The proposed technique can also be extended to design multidimensional filter banks
Keywords :
FIR filters; convergence of numerical methods; least squares approximations; minimisation; multidimensional digital filters; quadrature mirror filters; signal reconstruction; PR filter banks; cost function; digital filter bank design quadratic-constrained formulation; least-squares minimization; multidimensional filter banks; near-perfect-reconstruction pseudo-QMF bank; perfect-reconstruction cosine-modulated filter bank; stopband attenuation; two-channel biorthogonal linear-phase filter bank; Attenuation; Channel bank filters; Cost function; Design methodology; Design optimization; Digital filters; Filter bank; Finite impulse response filter; Lattices; Signal synthesis;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.414772
Filename :
414772
Link To Document :
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