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- Title
A REVIEW OF COMPARISON OF VARIOUS LINEAR PHASE FIR FILTER ALGORITHMS TO DESIGN AN OPTIMUM FILTER.
- Authors
SHARMA, MAYANK; KHEDKAR, AKANKSHA; JANGDE, AKANKSHA; PATEL, BHANU PRATAP; DHARMENDRA
- Abstract
For better design of the FIR filter, it is necessary for the designer to know the drawbacks of all the design methods. In this paper, the authors have compared two algorithms to get a better solution to design an optimum FIR filter. A lot of works have been already done in the design of FIR filter. So the methods and analysis of the algorithms help in the design of the filter, which at least removes all the drawbacks of both the filter design algorithms, which has been discussed in this paper. The papers based on the Parks McClellan algorithm, Particle Swarm Optimization method (PSO), Dynamic and Adjustable Particle Swarm Optimization (DAPSO), Particle Swarm Optimization with Variable Acceleration Factor (PSOVAF) in Linear Phase Digital Low Pass FIR Filter, planned Hybrid algorithm are quick and economical evolutionary algorithms, Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO) and Differential Evolution (DE) based algorithms are used to compare them to obtain a solution. Therefore an effective and efficient optimized FIR filter can be designed.
- Subjects
FILTERS &; filtration; LINEAR electric phase filters; PARTICLE swarm optimization; DIFFERENTIAL evolution; MATHEMATICAL optimization
- Publication
I-Manager's Journal on Digital Signal Processing, 2017, Vol 5, Issue 1, p39
- ISSN
2321-7480
- Publication type
Article
- DOI
10.26634/jdp.5.1.13531