This paper presents a review of the design approaches of two-dimensional digital filters based on metaheuristic optimization algorithms such as the genetic algorithm, differential evolution and particle swarm optimization. Metaheuristic optimization algorithms have been applied to solve different complicated problems in various fields and they have also been successfully used in digital filter design. Thus, researchers and practitioners have investigated various advanced methods based on metaheuristic optimization algorithms for the design of the two-dimensional digital filter. ![]() In digital filter design, there are several indispensable aims such as stability, reduced computational complexity and computational time. The two-dimensional digital filter has been applied in many important areas such as image processing, television systems and seismic signal processing. The stability of designed filters is described by the position of Pole-Zeros.Abstract: Recently, the design of the two-dimensional digital filter has become a subject of interest in the field of two-dimensional signal processing. The simulation results of the employed examples show an improvement on the transition band. Design of low-pass and high-pass IIR digital filters is proposed in order to provide an estimate of the transition band. It is found that the calculated values are more optimal than the FDA tool and GA available for the design of the filter in MATLAB. This study finds the optimum coefficients of the IIR digital filter through PSO. PSO is a powerful global optimization algorithm introduced in combinatorial optimization problems. This study is based on a heuristic way to design IIR filters. Because the error surface of digital IIR filters is generally nonlinear and multimodal, so global optimization techniques are required in order to avoid local minima. IIR filter is essentially a digital filter with recursive responses. The position of pole-zero is also presented to describe stability and results are compared with Simulated Annealing (SA) method.read more read lessĪbstract: In this article, a novel approach for infinite-impulse response IIR digital filters using particle swarm optimization PSO is presented. The simulation result of the employed examples shows an improvement on transition band and mean-square-error (MSE). It is found that the calculated values are more optimal than fda tool available for the design of filter in MATLAB. Design of Lowpass and High pass IIR digital filter is proposed to provide estimate of transition band. The paper finds the optimum Coefficients of IIR digital filter through GA. GA is a powerful global optimization algorithm introduced in combinatorial optimization problems. This paper presents heuristic way for the designing IIR filters. Since the error surface of digital IIR filters is generally nonlinear and multimodal, global optimization techniques are required in order to avoid local minima. IIR filter is essentially a digital filter with Recursive responses. The stability of designed filters is described by the position of Pole-Zeros.read more read lessĪbstract: This paper presents the design of Optimal Infinite-Impulse Response (IIR) digital filters using Genetic Algorithm (GA). ![]() ![]() The simulation results of the employed examples shows an improvement on transition band. Design of Low-pass and High-pass IIR digital filter is proposed to provide estimate of transition band. It is found that the calculated values are more optimal than fda tool and GA available for the design of filter in MATLAB. This paper finds the optimum coefficients of IIR digital filter through PSO. This Paper is based on a heuristic way for the designing IIR filters. Since the error surface of digital IIR filters is generally nonlinear and multimodal, so global optimization techniques are required in order to avoid local minima. Abstract: An artificial intelligence approach for the design of infinite-impulse response (IIR) digital filters through Particle Swarm Optimization (PSO) is presented.
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