Two-dimensional image convolution by analog computation

dc.creatorSymes, Donald Allen
dc.date.available2011-02-18T19:41:27Z
dc.date.issued1997-05
dc.degree.departmentComputer Scienceen_US
dc.description.abstractVision computing has been a subject of tremendous research interest since the days of the original perceptron in the 1940's [McClelland 88]. The last decade or so has shown a great deal of progress in our understanding of, at least, the early stages of vision and of the underlying structures and processes that perform these early processes in biological systems. Despite the ever-increasing speed and power of digital computing systems, the consensus appears to be that any practical vision system will, necessarily, be a highly parallel, probably analog, computing system.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2346/11642en_US
dc.language.isoeng
dc.publisherTexas Tech Universityen_US
dc.rights.availabilityUnrestricted.
dc.subjectIntegrated circuitsen_US
dc.subjectImage processingen_US
dc.subjectCoding theoryen_US
dc.subjectParallel processingen_US
dc.subjectConvolutionsen_US
dc.titleTwo-dimensional image convolution by analog computation
dc.typeThesis
thesis.degree.departmentComputer Science
thesis.degree.disciplineComputer Science
thesis.degree.grantorTexas Tech University
thesis.degree.levelMasters
thesis.degree.nameM.S.

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