Paper Info
Title
Low power FIR filter design using modified multi-objective artificial bee colony algorithm.
Abstract
Inspite of the significance of the requirement of low power consumption, most of the existing techniques on FIR filter design have only concentrated on minimizing the ripples in pass band and stop band. In this regard the present work proposes an optimization based approach for filter design, which not only minimizes the pass band and stop band ripples but also aims at reducing the power consumption during filter execution. The tradeoff between pass band ripple, stop band ripple and power consumption avoids the use of the classical single objective based optimization approaches. Hence the filter design task has been framed as a multi-objective optimization problem and solved using a modified version of multi-objective artificial bee colony algorithm. The final solution obtained post convergence of the algorithm provides a set of optimal filters (Pareto front) which maintains a tradeoff between the multiple specifications. It allows the designer to choose a particular filter (coefficients) based on the requirement and/or application. The applicability of the proposed approach has been evaluated by comparing the ripples and power consumption with other state of the art evolutionary algorithms. In addition to the numerical results, the filters derived have been validated experimentally by implementing them in Vitex-7 FPGA. A multi-objective optimization based approach formulated for FIR filter design.The design aims at reducing the power consumption in addition to minimizing the pass band and stop band ripples.A modified version of the multi-objective ABC algorithm has been proposed.Filters designed using the proposed approach has been compared with other state of the art algorithms.The proposed low power approach has been validated experimentally using FPGA.
Year
DOI
Venue
2016
10.1016/j.engappai.2016.06.006
Eng. Appl. of AI
Keywords
Field
DocType
Digital FIR filters,FPGA,Evolutionary algorithms,Multi-objective artificial bee colony algorithm,Low power design
Passband,Artificial bee colony algorithm,Mathematical optimization,Evolutionary algorithm,Computer science,Multi-objective optimization,Finite impulse response,Ripple,Optimization problem,Filter design
Journal
Volume
Issue
ISSN
55
C
0952-1976
Citations 
PageRank 
References 
8
0.51
25
Authors
3
Name
Order
Citations
PageRank
Atul Kumar Dwivedi1141.33
Subhojit Ghosh2249.71
Narendra D. Londhe39813.85