Permutation Based Design of Orthogonal Block Transformsand Filter Banks
Multidimensional Systems and Signal Processing
Discrete Lagrangian Methods for Designing Multiplierless Two-Channel PR-LP Filter Banks
Journal of VLSI Signal Processing Systems
Computer algebra handbook
M-channel cosine modulated filter banks with linear phase analysis and synthesis filters
Signal Processing - Special section: Multimodal human-computer interfaces
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Efficient design of cosine-modulated filter banks via convex optimization
IEEE Transactions on Signal Processing
M-channel linear phase cosine modulated filter banks with perfect reconstruction
MUSP'06 Proceedings of the 6th WSEAS international conference on Multimedia systems & signal processing
Adaptive filtering using filter banks and sparse subfilters
ICECS'05 Proceedings of the 4th WSEAS international conference on Electronics, control and signal processing
Biorthogonal exponentially modulated filter bank
Signal Processing
| Hi-index | 35.69 |
Formulate the filter bank design problem as an quadratic-constrained least-squares minimization problem. The solution of the minimization problem converges very quickly since the cost function as well as the constraints are quadratic functions with respect to the unknown parameters. The formulations of the perfect-reconstruction cosine-modulated filter bank, of the near-perfect-reconstruction pseudo-QMF bank, and of the two-channel biorthogonal linear-phase filter bank are derived using the proposed approach. Compared with other design methods, the proposed technique yields PR filter banks with much higher stopband attenuation. The proposed technique can also be extended to design multidimensional filter banks