Design and optimization of IIR filter structure using hierarchical genetic algorithms
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 481-487 |
| Journal / Publication | IEEE Transactions on Industrial Electronics |
| Volume | 45 |
| Issue number | 3 |
| Publication status | Published - 1998 |
Link(s)
Abstract
A new genetic algorithm (GA) is proposed for digital filtering design. This scheme utilizes a new hierarchical multilayer gene structure for the chromosome formulation. This is a unique structure, which retains the conventional genetic operations, while the genes may take various forms to represent the system characteristics. As a result, both the system structure and the parametric variables can be optimized in a simultaneous manner, without extra computational cost and effort. It has been demonstrated that this technique not only fulfills all types of filter performance requirements, but that the lowest order of the filter can also be found. © 1998 IEEE.
Research Area(s)
- Digital filters, Genetic algorithms
Citation Format(s)
Design and optimization of IIR filter structure using hierarchical genetic algorithms. / Tang, Kit-Sang; Man, Kim-Fung; Kwong, Sam et al.
In: IEEE Transactions on Industrial Electronics, Vol. 45, No. 3, 1998, p. 481-487.
In: IEEE Transactions on Industrial Electronics, Vol. 45, No. 3, 1998, p. 481-487.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
