Discrete cosine transform: algorithms, advantages, applications
Discrete cosine transform: algorithms, advantages, applications
Multirate systems and filter banks
Multirate systems and filter banks
Wavelets and subband coding
Signal Processing with Lapped Transforms
Signal Processing with Lapped Transforms
Subband Image Coding
Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets
Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets
IEEE Transactions on Signal Processing
The GenLOT: generalized linear-phase lapped orthogonal transform
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
A generalized algorithm for linear-phase paraunitary filter banks
IEEE Transactions on Signal Processing
Linear phase cosine modulated maximally decimated filter banks withperfect reconstruction
IEEE Transactions on Signal Processing
Design of efficient M-band coders with linear-phase andperfect-reconstruction properties
IEEE Transactions on Signal Processing
Digital filter bank design quadratic-constrained formulation
IEEE Transactions on Signal Processing
Hi-index | 0.00 |
In this work, a new efficient design techniquefor orthogonal block transforms, lapped orthogonal transformsand 4-channel perfect reconstruction subband filter banks isdeveloped. The technique consists of permutation and sign changeoperations on a reference vector. This approach can be thoughtof as a generalization of the Hadamard transform in the sensethat the reference vector {\mbox{h }}_{0} (which will be a prototype low-pass filteralso forming one of the basis functions of the transform) willin general have components that are not identically 1's. Thedesign technique, a constructive method based on Hadamard arrays,provides a convenient means to explore new transforms. The meritof our method is that the number of unknowns and equality constraintsare both reduced significantly which render the design proceduremuch more feasible while guaranteeing at the same time linearphase.