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dc.contributor.authorHoward, Roy
dc.date.accessioned2017-09-27T10:22:18Z
dc.date.available2017-09-27T10:22:18Z
dc.date.created2017-09-27T09:48:09Z
dc.date.issued2017
dc.identifier.citationHoward, R. 2017. PDF evolution of a pulse train: A Characteristic function and adaptive spline approach.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/57081
dc.identifier.doi10.1109/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.titlePDF evolution of a pulse train: A Characteristic function and adaptive spline approach
dc.typeConference Paper
dcterms.source.title2017 International Conference on Noise and Fluctuations, ICNF 2017
dcterms.source.series2017 International Conference on Noise and Fluctuations, ICNF 2017
dcterms.source.isbn9781509027606
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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