Two-dimensional signal and image processing
Two-dimensional signal and image processing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
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The paper presents a method for designing 2-D linear-phase FIR filters with an equiripple magnitude response. The filter design problem is transformed into an equivalent nonlinear optimization problem. In order to improve the speed of convergence, a two-step solution procedure of the considered problem is proposed. In the first step, a genetic algorithm is applied. The final point from the genetic algorithm is used as the starting point for a local optimization method. The proposed technique is applied to the design of 2-D FIR linear-phase filters with different symmetries. Design examples are included.