Title :
A novel spectral factorization method and its application in the design of filter banks and wavelets
Author :
Nguyen, Truong Q.
Author_Institution :
Lincoln Lab., MIT, Lexington, MA, USA
Abstract :
One of the difficulties encountered in spectral factorization is achieving computational accuracy when computing a spectral factor whose zeros are on the unit circle and/or the order is high. An iterative approach is presented for computing the spectral factor accurately. It is shown that the new method performs well and can be used in the design of filter banks satisfying perfect reconstruction and orthonormal compactly supported wavelets. Design examples are included
Keywords :
digital filters; filtering and prediction theory; iterative methods; wavelet transforms; FIR filters; computational accuracy; filter banks; iterative approach; orthonormal compactly supported wavelets; perfect reconstruction; spectral factorization method; wavelets; Attenuation; Channel bank filters; Digital signal processing; Filter bank; Finite impulse response filter; Iterative methods; Laboratories; Lattices; Polynomials; Signal processing;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0805-0
DOI :
10.1109/TFTSA.1992.274178
