Referenced Items are not available for this document.
A genetic algorithm (GA) technique for the approximation of nonlinear transfer functions is proposed in this paper. It is shown that the GA approximation method gives better accuracy than the classical Chebyshev approximation, which is sometimes considered to be the best one on the minimax criterion. Application of this technique to behavioral-level simulation is also discussed
Published in:
Telecommunications in Modern Satellite, Cable and Broadcasting Services, 1999. 4th International Conference on
(Volume:1
)
Date of Conference: 1999
- Page(s):
- 247 - 250 vol.1
- Meeting Date :
- 13 Oct 1999-15 Oct 1999
- Print ISBN:
- 0-7803-5768-X
- INSPEC Accession Number:
- 6536730
- Conference Location :
- Nis
- Digital Object Identifier :
- 10.1109/TELSKS.1999.804737
- Product Type:
- Conference Publications
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