Volume 5 Issue 1 January - March 2017
Review Paper
A Review of Comparison of Various Linear Phase FIR Filter Algorithms to Design an Optimum Filter
Mayank Sharma*, Akanksha Khedkar**, Akanksha Jangde***, Bhanu Pratap Patel****, Dharmendra Singh*****
*-**** UG Scholar, Department of Electronics and Telecommunication Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur (C.G), India.
***** Assistant Professor, Department of Electronics and Telecommunication Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur (C.G), India.
Sharma, M., Khedkar, A., Jangde, A., Patel, B, P., Dharmendra. (2017). A Review of Comparison of Various Linear Phase FIR Filter Algorithms to Design An Optimum Filter. i-manager’s Journal on Digital Signal Processing, 5(1), 39-45.https://doi.org/10.26634/jdp.5.1.13531
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.
No comments:
Post a Comment