A HIGH RESOLUTION DATA-ADAPTIVE TIME-FREQUENCY REPRESENTATION

dc.contributor.advisorParks, Thomas
dc.creatorJONES, DOUGLAS LLEWELLYN
dc.date.accessioned2007-05-09T19:45:10Z
dc.date.available2007-05-09T19:45:10Z
dc.date.issued1987
dc.description.abstractThe short-time Fourier transform and the Wigner distribution are the time-frequency representations that have received the most attention. The Wigner distribution has a number of desirable properties, but it introduces nonlinearities called cross-terms that make it difficult to interpret when applied to real multi-component signals. The short-time Fourier transform has achieved widespread use in applications, but it often has poor resolution of signal components and can bias the estimate of signal parameters. A need exists for a time-frequency representation without the shortcomings of the current techniques. This dissertation develops a data-adaptive time-frequency representation that overcomes the often poor resolution of the traditional short-time Fourier transform, while avoiding the nonlinearities that make the Wigner distribution and other bilinear representations difficult to interpret and use. The new method uses an adaptive Gaussian basis, with the basis parameters varying at different time-frequency locations to maximize the local signal concentration in time-frequency. Two methods for selecting the Gaussian parameters are presented: a method that maximizes a measure of local signal concentration, and a parameter estimation approach. The new representation provides much better performance than any of the currently known techniques in the analysis of multi-modal dispersive waveforms.
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS E.E. 1987 JONES
dc.identifier.citationJONES, DOUGLAS LLEWELLYN. "A HIGH RESOLUTION DATA-ADAPTIVE TIME-FREQUENCY REPRESENTATION." (1987) Diss., Rice University. <a href="https://hdl.handle.net/1911/16073">https://hdl.handle.net/1911/16073</a>.
dc.identifier.urihttps://hdl.handle.net/1911/16073
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectElectronics
dc.subjectElectrical engineering
dc.titleA HIGH RESOLUTION DATA-ADAPTIVE TIME-FREQUENCY REPRESENTATION
dc.typeThesis
dc.type.dcmiText
thesis.degree.departmentElectrical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy
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