Name
Title | ||
|---|---|---|
Modified artificial bee colony optimisation based FIR filter design with experimental validation using field-programmable gate array. |
Abstract | ||
|---|---|---|
Optimisation based design of finite impulse response (FIR) filters has been an active area of research for quite some time. The various algorithms proposed for FIR filter design aim at meeting a set of desired specifications in the frequency domain. Evolutionary algorithms have been found to be very effective for FIR filter design because of the non-linear, non-differentiable and non-convex nature... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1049/iet-spr.2015.0214 | IET Signal Processing |
Keywords | Field | DocType |
evolutionary computation,FIR filters | Frequency domain,Evolutionary algorithm,Simulation,Control theory,Filter (signal processing),Field-programmable gate array,Electronic engineering,Fir filter design,Finite impulse response,Mathematics,Filter design | Journal |
Volume | Issue | ISSN |
10 | 8 | 1751-9675 |
Citations | PageRank | References |
2 | 0.37 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Atul Kumar Dwivedi | 1 | 14 | 1.33 |
| Subhojit Ghosh | 2 | 24 | 9.71 |
| Narendra D. Londhe | 3 | 98 | 13.85 |