Rank $M$ Wavelets with $N$ Vanishing Moments
SIAM Journal on Matrix Analysis and Applications
The lifting scheme: a construction of second generation wavelets
SIAM Journal on Mathematical Analysis
Efficient state-space approach for FIR filter bank completion
Signal Processing
Worst-case error analysis of lifting-based fast DCT-algorithms
IEEE Transactions on Signal Processing - Part II
FIR paraunitary filter banks given several analysis filters: factorizations and constructions
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Matrix factorizations for reversible integer mapping
IEEE Transactions on Signal Processing
Design of efficient M-band coders with linear-phase andperfect-reconstruction properties
IEEE Transactions on Signal Processing
Integer DCTs and fast algorithms
IEEE Transactions on Signal Processing
On the perfect reconstruction problem in N-band multirate maximallydecimated FIR filter banks
IEEE Transactions on Signal Processing
M-band compactly supported orthogonal symmetric interpolatingscaling functions
IEEE Transactions on Signal Processing
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This paper presents a matrix factorization method for implementing orthonormal M-band wavelet reversible integer transforms. Based on an algebraic construction approach, the polyphase matrix of orthonormal M-band wavelet transforms can be factorized into a finite sequence of elementary reversible matrices that map integers to integers reversibly. These elementary reversible matrices can be further factorized into lifting matrices, thus we extend the classical lifting scheme to a more flexible framework.