Abstract
We present a complete characterization and design of orthogonal infinite impulse response (IIR) and finite impulse response (FIR) filter banks in any dimension using the Cayley transform (CT). Traditional design methods for one-dimensional orthogonal filter banks cannot be extended to higher dimensions directly due to the lack of a multidimensional (MD) spectral factorization theorem. In the polyphase domain, orthogonal filter banks are equivalent to paraunitary matrices and lead to solving a set of nonlinear equations. The CT establishes a one-to-one mapping between paraunitary matrices and para-skew-Hermitian matrices. In contrast to the paraunitary condition, the para-skew-Hermitian condition amounts to linear constraints on the matrix entries which are much easier to solve. Based on this characterization, we propose efficient methods to design MD orthogonal filter banks and present new design results for both IIR and FIR cases.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 760-769 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Image Processing |
| Volume | 14 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2005 |
Keywords
- Cayley transform (CT)
- Filter banks
- Multidimensional (MD) filter banks
- Nonseparable filter design
- Orthogonal filter banks
- Paraunitary
- Polyphase
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Graphics and Computer-Aided Design
- Software
- Theoretical Computer Science
- Computational Theory and Mathematics
- Computer Vision and Pattern Recognition
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