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dc.contributor.advisorHippenstiel, Ralph
dc.contributor.advisorCristi, Roberto
dc.contributor.authorCloutier, Martin Andre
dc.dateDecember 1995
dc.date.accessioned2013-04-29T22:49:15Z
dc.date.available2013-04-29T22:49:15Z
dc.date.issued1995-12
dc.identifier.urihttp://hdl.handle.net/10945/31291
dc.description.abstractThis thesis addresses optimal methods for the detection of acoustic signals corrupted by colored noise. In achieving this we provide a study of the characteristics of ambient noise in the ocean and the digital techniques which can be used in the process of detecting known acoustic signals which are corrupted by that noise. Various techniques are studied, in particular the use of matrix decomposition techniques applied to the correlation matrix or to a data matrix, and the matched filter for colored noise. Other methods such as the inverse filter, the differential operator, and the adaptive prediction-error filter will also be looked at for their whitening properties. The theoretical foundations of those techniques are presented as well as the application of each method to the problem. Simulations are conducted for each technique in order to provide quantified performance measurements supporting the use of each method.en_US
dc.description.urihttp://archive.org/details/optimaldigitalde1094531291
dc.format.extent146 p.en_US
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.titleOptimal digital detection of acoustic signals in colored noiseen_US
dc.typeThesisen_US
dc.contributor.departmentElectrical Engineering
dc.contributor.departmentEngineering Acoustic
dc.subject.authorDetection, Ambient noise, Matrix decomposition, Colored noise.en_US
dc.description.funderNAen_US
dc.description.recognitionNAen_US
dc.description.serviceCanadian Armed Forces author.en_US
etd.thesisdegree.nameM.S. in Electrical Engineeringen_US
etd.thesisdegree.nameM.S. in Engineering Acousticen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.disciplineEngineering Acousticen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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