Multirate systems and filter banks
Multirate systems and filter banks
Theory and design of two-dimensional filter banks: a review
Multidimensional Systems and Signal Processing - Special issue: multidimensional filter banks and wavelets: basic theory and cosine modulated filter banks
IEEE Transactions on Signal Processing
Two-dimensional perfect reconstruction FIR filter banks withtriangular supports
IEEE Transactions on Signal Processing
Two-dimensional orthogonal filter banks and wavelets with linearphase
IEEE Transactions on Signal Processing
Efficient Design of High-Complexity Cosine Modulated Filter Banks Using th Band Conditions
IEEE Transactions on Signal Processing
Nonseparable two- and three-dimensional wavelets
IEEE Transactions on Signal Processing
A Class of Multiresolution Directional Filter Banks
IEEE Transactions on Signal Processing
Digital filter bank design quadratic-constrained formulation
IEEE Transactions on Signal Processing
Theory and design of two-parallelogram filter banks
IEEE Transactions on Signal Processing
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In this paper, an efficient design algorithm is proposed to design the recently introduced two-dimensional (2D) critically sampled modified DFT (MDFT) modulated filter bank. First of all, the original perfect-reconstruction (PR) condition in frequency-domain of the filter bank is transformed into a spatial-domain condition, which is a set of quadratic equations with respect to the prototype filter (PF). Then, with the derived PR equations, the design problem is formulated into an unconstrained optimization problem that involves PR condition and stopband energy of the PF. An iterative algorithm is proposed to solve the optimization problem. The convergence of the algorithm is proved. Numerical results and comparison with existing method are included to show the effectiveness of the proposed design algorithm.