Title :
Linear phase paraunitary filter banks: theory, factorizations and designs
Author :
Soman, Anand K. ; Vaidyanathan, P.P. ; Nguyen, Truong Q.
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
fDate :
12/1/1993 12:00:00 AM
Abstract :
M channel maximally decimated filter banks have been used in the past to decompose signals into subbands. The theory of perfect-reconstruction filter banks has also been studied extensively. Nonparaunitary systems with linear phase filters have also been designed. The authors study paraunitary systems in which each individual filter in the analysis synthesis banks has linear phase. Specific instances of this problem have been addressed by other authors, and linear phase paraunitary systems have been shown to exist. This property is often desirable for several applications, particularly in image processing. They begin by answering several theoretical questions pertaining to linear phase paraunitary systems. Next, they develop a minimal factorization for a large class of such systems. This factorization will be proved to be complete for even M. Further, they structurally impose the additional condition that the filters satisfy pairwise mirror-image symmetry in the frequency domain. This significantly reduces the number of parameters to be optimized in the design process. They then demonstrate the use of these filter banks in the generation of M-band orthonormal wavelets. Several design examples are also given to validate the theory
Keywords :
digital filters; filtering and prediction theory; image processing; linear network analysis; linear network synthesis; wavelet transforms; M-band orthonormal wavelets; analysis-synthesis filter banks; frequency domain; image processing; linear phase filters; linear phase paraunitary filter banks; maximally decimated filter banks; minimal factorization; pairwise mirror-image symmetry; paraunitary systems; perfect-reconstruction filter banks; signal decomposition; Channel bank filters; Filter bank; Finite impulse response filter; Frequency; Image coding; Image processing; Network synthesis; Nonlinear filters; Signal design; Signal synthesis;
Journal_Title :
Signal Processing, IEEE Transactions on