PDF evolution of a pulse train: A Characteristic function and adaptive spline approach
dc.contributor.author | Howard, Roy | |
dc.date.accessioned | 2017-09-27T10:22:18Z | |
dc.date.available | 2017-09-27T10:22:18Z | |
dc.date.created | 2017-09-27T09:48:09Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Howard, R. 2017. PDF evolution of a pulse train: A Characteristic function and adaptive spline approach. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/57081 | |
dc.identifier.doi | 10.1109/ICNF.2017.7986003 | |
dc.description.abstract |
© 2017 IEEE. By adaptively approximating the characteristic function to the required power by cubic spline functions, the probability density function of a sum of pulse functions with random amplitude and delay, can be approximated with good accuracy and over a wide range. The efficacy of the approach is shown by the determination of the probability density function evolution of a pulse train. Simulation results justify the approach. | |
dc.title | PDF evolution of a pulse train: A Characteristic function and adaptive spline approach | |
dc.type | Conference Paper | |
dcterms.source.title | 2017 International Conference on Noise and Fluctuations, ICNF 2017 | |
dcterms.source.series | 2017 International Conference on Noise and Fluctuations, ICNF 2017 | |
dcterms.source.isbn | 9781509027606 | |
curtin.department | Department of Electrical and Computer Engineering | |
curtin.accessStatus | Fulltext not available |
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