The spectral analysis of impulse processes
dc.contributor.author | Beutler, Frederick J. (Frederick Joseph) | en_US |
dc.contributor.author | Leneman, Oscar A. Z. | en_US |
dc.date.accessioned | 2006-04-17T15:30:35Z | |
dc.date.available | 2006-04-17T15:30:35Z | |
dc.date.issued | 1968-03 | en_US |
dc.identifier.citation | Beutler, Frederick J., Leneman, Oscar A.Z. (1968/03)."The spectral analysis of impulse processes." Information and Control 12(3): 236-258. <http://hdl.handle.net/2027.42/33203> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B7MFM-4DX43CV-T1/2/c62d37d14467938cee8a39b5cf7cb765 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/33203 | |
dc.description.abstract | An expression for the spectral density of the impulse process s(t) = {if236-1} is derived under the assumption that [alpha]n}} is a stationary process, and that n}} is a stationary point process independent of [alpha]n}}. The spectral density appears as an infinite series in terms of the correlation of [alpha]n}} and the interval statistics of n}}. The same result was obtained by Leneman by a different argument under considerably more restrictive conditions of validity.Various models of impulse processes are discussed relative to random sampling of random processes. Random and systematic loss of samples, separate read-in and read-out jitters, and correlated random scaling errors can all be represented by appropriate assumptions on [alpha]n}} and n}}.Finally, closed form expressions are calculated for the spectral density of s(t) and the sampled process under combinations of the sampling errors mentioned in the preceding paragraph. | en_US |
dc.format.extent | 1008145 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 | The spectral analysis of impulse processes | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Science (General) | en_US |
dc.subject.hlbsecondlevel | Information and Library Science | en_US |
dc.subject.hlbsecondlevel | Computer Science | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Computer, Information and Control Engineering Program, The University of Michigan, Ann Arbor, Michigan 48104 USA | en_US |
dc.contributor.affiliationother | Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, Massachusetts 02173 USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/33203/1/0000591.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/S0019-9958(68)90327-6 | en_US |
dc.identifier.source | Information and Control | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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