Passive sonar ML estimator for ship propeller speed

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dc.contributor.authorLourens J.G.
dc.date.accessioned2011-05-15T15:57:31Z
dc.date.available2011-05-15T15:57:31Z
dc.date.issued1997
dc.description.abstractThe optimal estimator in the maximum likelihood sense for the propeller speed of a ship, using underwater radiated cavitation noise generated by the propeller blades, is derived. From the result the amount of blades on the propeller can also be derived. Results obtained for real sonar data using a digital implementation of the estimator will be presented.
dc.description.versionConference Paper
dc.identifier.citationProceedings of the South African Symposium on Communications and Signal Processing, COMSIG
dc.identifier.urihttp://hdl.handle.net/10019.1/10444
dc.subjectDigital signal processing
dc.subjectMathematical models
dc.subjectShip propellers
dc.subjectSpeed
dc.subjectStatistical methods
dc.subjectUnderwater radiated cavitation noise
dc.subjectSonar
dc.titlePassive sonar ML estimator for ship propeller speed
dc.typeConference Paper
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