Low Pass Fir Filter Design using Genetic Algorithm
Author(s):
Surabhi Chaturvedi , csit, durg; Navneet Kumar Sahu, csit, durg
Keywords:
FIR (Finite Impulse Response), GA (Genetic Algorithm)
Abstract:
Filtering is a class of signal processing, which defines the feature of filters which performs the complete suppression of some aspect of the signal. Digital filters are used in numerous applications from control systems, systems for audio and video processing, and communication systems and for medical applications. Digital filtering can be used to produce very low frequency signals, such as those occurring in biomedical and seismic applications very efficiently. The FIR filter has two major advantages of stability and linear phase, and has been widely used in different applications. An efficient design algorithm for low pass FIR filter design has been presented in this paper which is genetic algorithm. This algorithm provides the flexibility in control of various parameters such as population size, number of generations, crossover probability and so on.
Other Details:
Manuscript Id | : | IJSTEV3I6070
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Published in | : | Volume : 3, Issue : 6
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Publication Date | : | 01/01/2017
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Page(s) | : | 91-95
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