Hybrid Linear/Quadratic Time-Frequency Attributes

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)en_US
dc.citation.firstpageII-681en_US
dc.citation.lastpageII-684en_US
dc.citation.locationIstanbul, Turkeyen_US
dc.citation.volumeNumber2en_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.authorCoates, Mark J.en_US
dc.contributor.authorSteeghs, Philippeen_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:36:14Zen_US
dc.date.available2007-10-31T00:36:14Zen_US
dc.date.issued2000-06-01en_US
dc.date.modified2006-06-07en_US
dc.date.note2006-06-07en_US
dc.date.submitted2000-06-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractWe present an efficient method for robustly calculating time-frequency attributes of a signal, including instantaneous mean frequency, bandwidth, and kurtosis. Most current approaches involve a costly intermediate step of computing a (highly oversampled) 2-D bilinear time-frequency representation (TFR), which is then collapsed to the 1-D attribute. Using the principles of hybrid linear/bilinear time-frequency analysis, we propose computing attributes as nonlinear combinations of the (barely oversampled) linear Gabor transform of the signal. The method is both computationally efficient and accurate-it performs as well as the best bilinear techniques based on adaptive TFRs. To illustrate, we calculate an attribute of a seismic cross-section.en_US
dc.identifier.citationR. G. Baraniuk, M. J. Coates and P. Steeghs, "Hybrid Linear/Quadratic Time-Frequency Attributes," vol. 2, 2000.en_US
dc.identifier.urihttps://hdl.handle.net/1911/19713en_US
dc.language.isoengen_US
dc.subject.otherDSP for Communicationsen_US
dc.titleHybrid Linear/Quadratic Time-Frequency Attributesen_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
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