An efficient evolutionary algorithm applied to the design of two-dimensional IIR filters
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Brief paper: A swarm intelligence approach to the synthesis of two-dimensional IIR filters
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
Stabilization of 2D NSHP recursive digital filters with guaranteed stability using PLSI polynomials
EURASIP Journal on Advances in Signal Processing
IEEE Transactions on Circuits and Systems II: Express Briefs
On the design of 2-D inverse and 2-D Wiener filters
CSECS '10 Proceedings of the 9th WSEAS international conference on Circuits, systems, electronics, control & signal processing
Using Pisarenko harmonic decomposition for the design of 2-D IIR notch filters
WSEAS Transactions on Signal Processing
New general transformations for 2-D FIR and IIR filters' design
WSEAS Transactions on Circuits and Systems
New method for designing 2-D (two-dimensional) IIR comb filters
WSEAS TRANSACTIONS on SYSTEMS
Design of two-dimensional IIR filters using an improved DE algorithm
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
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A new design method for two-dimensional (2-D) recursive digital filters is investigated. The design of the 2-D filter is reduced to a constrained minimization problem the solution of which is achieved by the convergence of an appropriate neural network. The method is tested on a numerical example and compared with previously published methods when applied to the same example. Advantages of the proposed method over the existing ones are discussed as well