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dc.contributor.advisorJauregui, S.
dc.contributor.authorBell, Edison Lee
dc.dateSeptember 1975
dc.date.accessioned2012-11-20T00:26:33Z
dc.date.available2012-11-20T00:26:33Z
dc.date.issued1975-09
dc.identifier.urihttp://hdl.handle.net/10945/21000
dc.description.abstractThis thesis investigates the problem of automatic transcription of the Morse signal, and describes and documents several approaches to filtering, processing and decoding it for transcription. The baseband signal is first modeled as a modified random telegraph wave. A discrete Kalman filter and a linear smoother are then used to process the demodulated signal in order to gain a measure of the effectiveness and applicability of this model. It is shown experimentally that this model and processing yield a significant reduction in the transcription error rate. Next a Viterbi decoder algorithm based on a simple Markov model of the code is incorporated in a more general model for pre-detection Kalman filtering. It is shown that this filter permits acceptable recovery of Morse signals whose average signal-to-noise ration is as low as -14 dB in a 3 kHz bandwidth.en_US
dc.description.urihttp://archive.org/details/processingofmanu1094521000
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleProcessing of the manual morse signal using optimal linear filtering, smoothing and decodingen_US
dc.typeThesisen_US
dc.contributor.secondreaderPowers, V. Michael
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentDepartment of Electrical Engineering
dc.subject.authorMorse codeen_US
dc.subject.authorKalman filteren_US
dc.subject.authorlinear smoothingen_US
dc.subject.authorViterbi decoderen_US
dc.description.serviceLieutenant, United States Navyen_US
etd.thesisdegree.nameDegree of Electrical Engineeren_US
etd.thesisdegree.levelProfessional Degreeen_US
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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