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dc.contributor.advisor Johnson, Don H.
dc.creatorLi, Dongmei
dc.date.accessioned 2009-06-04T00:10:39Z
dc.date.available 2009-06-04T00:10:39Z
dc.date.issued 1995
dc.identifier.urihttps://hdl.handle.net/1911/13970
dc.description.abstract Optimum signal constellation design is crucial to the design of high-performance digital communication systems. Variation in signal set can dramatically change the system performance. Our goal is to design constellations, yield high performance, and satisfy power and waveform constraints. In our investigation, we use the Kullback-Leibler distance as a system performance index to design optimal signal sets for additive Gaussian and non-Gaussian noise channels. We optimize this distance, and therefore detector performance, for M-component signal sets defined in an N-dimensional signal space while constraining signal waveform properties. We obtained optimal signal sets for several noise distributions with the power of the signal spanning across all SNR. Our approach can be generally extended to design signal sets for various channel environments.
dc.format.extent 80 p.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectElectronics
Electrical engineering
dc.title Signal constellation design for Gaussian and non-Gaussian channels
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Electrical and Computer Engineering
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Science
dc.identifier.citation Li, Dongmei. "Signal constellation design for Gaussian and non-Gaussian channels." (1995) Master’s Thesis, Rice University. https://hdl.handle.net/1911/13970.


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