Paper Info
Title
Design of variable fractional delay FIR filters using genetic algorithm
Abstract
This paper presents a new method for design of variable fractional delay (VFD) FIR digital filters using a genetic algorithm. In this method, each sub-filter of Farrow structure is designed separately with defined accuracy and bandwidth. Also, a variable mutation probability is employed, which improves the accuracy of the solution. Compared with existing methods, it reduces the computational complexity and enhances the design flexibility. Sum-of-power-of-two (SOPOT) representation is applied to the filter coefficients. Therefore, SOPOT coefficients of Farrow structure are determined using a simple genetic algorithm without recourse to computational techniques. Using the SOPOT representation, the filter multipliers can be built with simple shift registers and adders. This results in a high-speed and low-power filter implementation.
Year
DOI
Venue
2003
10.1109/ICECS.2003.1301973
Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International Conference
Keywords
Field
DocType
fir filters,adders,digital filters,genetic algorithms,integrated circuit design,low-power electronics,probability,shift registers,farrow structure sub-filter,sopot coefficients,computational complexity,design flexibility,filter coefficients,filter multipliers,genetic algorithm,high-speed low-power filter implementation,sub-filter accuracy,sub-filter bandwidth,sum-of-power-of-two representation,variable fractional delay fir digital filter design,variable mutation probability
Shift register,Digital filter,Adder,Algorithm,Electronic engineering,Bandwidth (signal processing),Mutation probability,Genetic algorithm,Mathematics,Computational complexity theory,Filter design
Conference
Volume
ISBN
Citations 
1
0-7803-8163-7
2
PageRank 
References 
Authors
0.55
3
3
Name
Order
Citations
PageRank
Khadijeh Khamei120.55
Abdolreza Nabavi24717.09
Shaahin Hessabi326931.97