Optimization of Synthesis Oversampled Complex Filter Banks
arXiv:0907.3654 · doi:10.1109/TSP.2009.2023947
Abstract
An important issue with oversampled FIR analysis filter banks (FBs) is to determine inverse synthesis FBs, when they exist. Given any complex oversampled FIR analysis FB, we first provide an algorithm to determine whether there exists an inverse FIR synthesis system. We also provide a method to ensure the Hermitian symmetry property on the synthesis side, which is serviceable to processing real-valued signals. As an invertible analysis scheme corresponds to a redundant decomposition, there is no unique inverse FB. Given a particular solution, we parameterize the whole family of inverses through a null space projection. The resulting reduced parameter set simplifies design procedures, since the perfect reconstruction constrained optimization problem is recast as an unconstrained optimization problem. The design of optimized synthesis FBs based on time or frequency localization criteria is then investigated, using a simple yet efficient gradient algorithm.
Cited by in corpus (6)
- A Panorama on Multiscale Geometric Representations, Intertwining Spatial, Directional and Frequency Selectivity
- A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal
- CHOPtrey: contextual online polynomial extrapolation for enhanced multi-core co-simulation of complex systems
- Analysis of Signals via Non-Maximally Decimated Non-Uniform Filter Banks
- Sparse Signal Reconstruction for Nonlinear Models via Piecewise Rational Optimization
- Generic Feasibility of Perfect Reconstruction with Short FIR Filters in Multi-channel Systems