Title :
M-channel lifting factorization of perfect reconstruction filter banks and reversible M-band wavelet transforms
Author :
Chen, Ying-Jui ; Amaratunga, Kevin S.
Author_Institution :
Wavelet Group in the Intelligent Eng. Syst. Lab, Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
An intrinsic M-channel lifting factorization of perfect reconstruction filter banks (PRFBs) is presented as an extension of Sweldens´ conventional two-channel lifting scheme. Given a polyphase matrix E(z) of a finite-impulse response (FIR) M- channel PRFB with det(E(z))=z-K, K∈Z, a systematic M-channel lifting factorization is derived based on the Monic Euclidean algorithm. The M-channel lifting structure provides an efficient factorization and implementation; examples include optimizing the factorization for the number of lifting steps, delay elements, and dyadic coefficients. Specialization to paraunitary building blocks enables the design of paraunitary filter banks based on lifting. We show how to achieve reversible, possibly multiplierless, implementations under finite precision, through the unit diagonal scaling property of the Monic Euclidean algorithm. Furthermore, filter-bank regularity of a desired order can be imposed on the lifting structure, and PRFBs with a prescribed admissible scaling filter are conveniently parameterized.
Keywords :
FIR filters; discrete cosine transforms; matrix decomposition; signal reconstruction; wavelet transforms; M-channel lifting factorization; Monic Euclidean algorithm; admissible scaling filter; cascade algorithm; dyadic coefficients; extended two-channel lifting scheme; filter-bank regularity; finite-impulse response filter banks; greatest common divisor; laurent polynomials; multiplierless approximations; paraunitary building blocks; perfect reconstruction filter banks; polyphase matrix; reversible M-band wavelets; Channel bank filters; Delay; Discrete cosine transforms; Discrete wavelet transforms; Filter bank; Finite impulse response filter; Helium; Matrix decomposition; Polynomials; Wavelet transforms;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
DOI :
10.1109/TCSII.2003.820233