On Periodic Pulse Interval Analysis with Outliers and Missing Observations

Simple item page
dc.contributor.authorSadler, Brian M.en_US
dc.contributor.authorCasey, Stephen D.en_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T10:01:15Z
dc.date.available2007-05-23T10:01:15Z
dc.date.issued1996en_US
dc.description.abstractAnalysis of periodic pulse trains based on time of arrival is considered, with perhaps very many missing observations and contaminated data. A period estimator is developed based on a modified Euclidean algorithm. This algorithm is a computationally simple, robust method for estimating the greatest common divisor of a noisy contaminated data set. The resulting estimate, while not maximum likelihood, is used as initialization in a three-step algorithm that achieves the Cramer-Rao bound for moderate noise levels, as shown by comparing Monte Carlo results with the Cramer-Rao bounds. An extension using multiple independent data records is also developed that overcomes high levels of contamination.en_US
dc.format.extent1123542 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/5736
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1996-6en_US
dc.subjectdigital communicationsen_US
dc.subjectestimationen_US
dc.subjectfilteringen_US
dc.subjectrobust information processingen_US
dc.subjectsignal processingen_US
dc.subjectparameter estimation of pulse trainsen_US
dc.subjectnumber theoryen_US
dc.subjectharmonic analysisen_US
dc.subjectIntelligent Control Systemsen_US
dc.titleOn Periodic Pulse Interval Analysis with Outliers and Missing Observationsen_US
dc.typeTechnical Reporten_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
TR_96-6.pdf
Size:
1.07 MB
Format:
Adobe Portable Document Format
Download

Collections

Institute for Systems Research Technical Reports