Improved Type-Based Detection of Analog Signals

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)en_US
dc.citation.firstpage3717
dc.citation.lastpage3720
dc.citation.locationMunich, Germanyen_US
dc.citation.volumeNumber5en_US
dc.contributor.authorGoncalves, Pauloen_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:44:39Z
dc.date.available2007-10-31T00:44:39Z
dc.date.issued1997-04-01en
dc.date.modified2006-06-07en_US
dc.date.note2006-06-07en_US
dc.date.submitted1997-04-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractWhen applied to continuous-time observations, type-based detection strategies are limited by the necessity to crudely quantize each sample. To alleviate this problem, we smooth the types for both the training and observation data with a linear filter. This post-processing improves the detector performance significantly (error probabilities decrease by over a factor of three) without incurring a significant computational penalty. However this improvement depends on the amplitude distribution and on the quantizer's characteristics.en_US
dc.identifier.citationP. Goncalves and R. G. Baraniuk, "Improved Type-Based Detection of Analog Signals," vol. 5, 1997.
dc.identifier.doihttp://dx.doi.org/10.1109/ICASSP.1997.604676en_US
dc.identifier.urihttps://hdl.handle.net/1911/19899
dc.language.isoeng
dc.subject.otherDSP for Communicationsen_US
dc.titleImproved Type-Based Detection of Analog Signalsen_US
dc.typeConference paper
dc.type.dcmiText
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