Biological versus Subspace Methods in Sound Localization

dc.contributor.authorDadu, Saurabhen_US
dc.contributor.departmentISRen_US
dc.contributor.departmentCDCSSen_US
dc.date.accessioned2007-05-23T10:11:45Z
dc.date.available2007-05-23T10:11:45Z
dc.date.issued2001en_US
dc.description.abstractSound localization is determining the location of sound sources usingthe measurements of the signals received by an array ofsensors. Humans and animals possess the natural ability of localizingsound. Researchers have tried to model nature's way of solvingthis problem and have come up with different methods based on variousneuro-physiological studies. Such methods arecalled biological methods. <p>On the other hand, there is another community ofresearchers who has looked at this problem from pure signalprocessing point of view. Among the more popular methods for solvingthis problem using signal processing techniques are the subspacemethods. <p>In this thesis, a comparative study is done betweenbiological methods and subspace methods. Further, an attempt hasbeen made to incorporate the notion of head-related transfer functionin the modeling of subspace methods. The implementationof a biological localization algorithm on a DSP board is also presented.en_US
dc.format.extent1515410 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/6254
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; MS 2001-3en_US
dc.relation.ispartofseriesCDCSS; MS 2001-1en_US
dc.subjectSensor-Actuator Networksen_US
dc.titleBiological versus Subspace Methods in Sound Localizationen_US
dc.typeThesisen_US

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