Rate distortion lower bound for a special class of nonlinear estimation problems
dc.contributor.author | Washburn, Jr. , R. B. | en_US |
dc.contributor.author | Teneketzis, Demosthenis | en_US |
dc.date.accessioned | 2006-04-07T20:51:15Z | |
dc.date.available | 2006-04-07T20:51:15Z | |
dc.date.issued | 1989-04 | en_US |
dc.identifier.citation | Washburn, Jr., R. B., Teneketzis, D. (1989/04)."Rate distortion lower bound for a special class of nonlinear estimation problems." Systems & Control Letters 12(3): 281-286. <http://hdl.handle.net/2027.42/27991> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6V4X-482B479-D/2/19b37928cc506653b1a3be345693f32b | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/27991 | |
dc.description.abstract | A rate distortion lower bound of minimum mean square error is presented for a special class of discrete time nonlinear filtering problems which have measurements that can be expressed as a memoryless nonlinear function of a Gaussian distributed space process with additive Gaussian noise. The lower bound is exactly and practically computable for a large class of nonlinearities and is proved to be asymtotically tighter than Cramer-Rao type bounds in the limit of low signal-to-noise ratio. | en_US |
dc.format.extent | 383745 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Rate distortion lower bound for a special class of nonlinear estimation problems | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Management | en_US |
dc.subject.hlbsecondlevel | Industrial and Operations Engineering | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109-2122, U.S.A. | en_US |
dc.contributor.affiliationother | ALPHATECH, Inc., 111 Middlesex Turnpike, Burlington, MA 01803-4901, U.S.A. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/27991/1/0000424.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0167-6911(89)90061-3 | en_US |
dc.identifier.source | Systems & Control Letters | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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