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This paper presents an optimal design of linear phase digital high pass finite impulse response (FIR) filter using Novel Particle Swarm Optimization (NPSO). NPSO is an improved particle swarm optimization (PSO) that proposes a new definition for the velocity vector and swarm updating and hence the solution quality is improved. The inertia weight has been modified in the PSO to enhance its search capability...
FIR filter design involves multi-modal, multiparameter optimization. Different optimization techniques can be utilized to determine the impulse response coefficient of a filter and try to meet the ideal frequency response characteristics. This paper presents an optimal design of linear phase digital band pass finite impulse response (FIR) filter using Novel Particle Swarm Optimization (NPSO) algorithm...
Recently there has been a lot of research conducted on FIR filter design problem which involves multi-modal, multi-parameter optimization techniques that can be utilized to determine the impulse response coefficient of a filter and try to meet the ideal frequency response characteristics. In this paper a recently proposed multi-objective swarm optimization algorithm called particle swarm optimization...
This paper proposes a novel optimal design of linear phase digital band stop finite impulse response (FIR) filter using Improved Particle Swarm Optimization (IPSO) technique. FIR filter design is a multi-modal optimization problem. An iterative method is introduced to find the optimal solution of FIR filter design problem. Particle Swarm Optimization (PSO) is similar to the Genetic Algorithm (GA)...
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