DAPSO and PSO-VAF in Linear Phase Digital Low Pass FIR Filter Design
نویسندگان
چکیده
منابع مشابه
Design of Optimum Linear Phase Low Pass Fir Filter Using Hybrid Pso and Gsa Evolutionary Algorithm
The digital filters play an important role in the field of science and technology. Due to phase linearity and stability digital FIR filters are used in number of applications. The various design technology are developed for the designing of the digital filters using evolutionary techniques like particle swarm optimization(PSO), genetic algorithm(GA), differential evolution(DE) etc. and the modi...
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Digital filters have found important applications in an increasing number of fields in science and engineering, and design techniques have been developed to achieve desired filter characteristics. This paper presents an optimization technique for the design of optimal digital FIR low pass filter. The design of digital FIR filters possible by solving a system of linear equations. In this paper, ...
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The everyday broadening field of signal processing has digital filters to play a major role. Linear phase FIR filters are used in vast number of applications due to their nature of phase linearity as well as frequency stability. The traditional non-optimization methods available for filter design suffer from the problem of need for analog to digital conversion and also the inefficient control o...
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Digital Filters are generally used in the present era of communication and computation. Good performance of Digital filters is demanding one & hence it’s a challenge to design a digital finite impulse response (FIR) filter satisfying all the necessary and required conditions. Various artificially intelligent optimization techniques evolve for optimized design of digital filter. This paper demon...
متن کاملNovel Particle Swarm Optimization for Low Pass FIR Filter Design
This paper presents an optimal design of linear phase digital low 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...
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ژورنال
عنوان ژورنال: Circuits and Systems
سال: 2014
ISSN: 2153-1285,2153-1293
DOI: 10.4236/cs.2014.53008