Multirate systems and filter banks
Multirate systems and filter banks
Multirate Digital Signal Processing
Multirate Digital Signal Processing
Subband Image Coding
Digital Signal Processing: A Computer Based Approach
Digital Signal Processing: A Computer Based Approach
IEEE Transactions on Signal Processing
The design of weighted minimax quadrature mirror filters
IEEE Transactions on Signal Processing
On chaotic simulated annealing
IEEE Transactions on Neural Networks
Design of two-dimensional recursive filters by using neural networks
IEEE Transactions on Neural Networks
Design of two-channel quadrature mirror filter bank using particle swarm optimization
Digital Signal Processing
A hybrid method for designing linear-phase quadrature mirror filter bank
Digital Signal Processing
Design of two channel quadrature mirror filter bank: a multi-objective approach
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part II
Efficient design of cosine-modulated filter banks using evolutionary multi-objective optimization
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
An efficient iterative method for nearly perfect reconstruction non-uniform filter bank
International Journal of Speech Technology
Hi-index | 0.08 |
An alternative weighted least-squares (WLS) implementation of a two-channel linear-phase quadrature mirror filter (QMF) banks can be efficiently solved in a parallel manner based on the Hopfield neural network (HNN). The author extends an improved structure of feedback neural network to formulate the error function in the optimization of QMF banks as a Lyapunov energy function to find the Hopfield-related parameters. Once these parameters are obtained and input to the network, the optimal filter coefficients of the QMF banks are therefore derived when the network achieves its final state. As compared to the previously developed neural-based method, the proposed framework can be easily applied to the design of QMF banks without incurring convergence problems. In additions, the architecture of the proposed technique is regular and simple with inherent parallelism and can be easily implemented by using analog VLSI technology in real-time. Simulation results are included to illustrate the proposed neural-based approach can achieve the same performance as the method of WLS.