File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Generation of noise sequences with desired non-Gaussian distribution and covariance

TitleGeneration of noise sequences with desired non-Gaussian distribution and covariance
Authors
KeywordsRandom sequences
Generation
Radar simulation
Issue Date2002
PublisherIEEE.
Citation
IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering Proceedings, Beijing, China, 28-31 October 2002, v. 2, p. 1105-1108 How to Cite?
AbstractIt is necessary to generate a noise sequence in the simulation of the communication system and signal processing. In the design of some practical system such as radar system, we Must generate a stationary noise sequence with a specified non-Gaussian probability density function and a desired power spectrum to test the performance of the system. For this purpose, this paper presents a method by which such a clutter sequence can be generated. The examples are also demonstrated to show the effectiveness of the proposed method.
Persistent Identifierhttp://hdl.handle.net/10722/46379
ISSN

 

DC FieldValueLanguage
dc.contributor.authorShen, Men_HK
dc.contributor.authorSun, Len_HK
dc.contributor.authorChan, FHYen_HK
dc.date.accessioned2007-10-30T06:48:37Z-
dc.date.available2007-10-30T06:48:37Z-
dc.date.issued2002en_HK
dc.identifier.citationIEEE Region 10 Conference on Computers, Communications, Control and Power Engineering Proceedings, Beijing, China, 28-31 October 2002, v. 2, p. 1105-1108en_HK
dc.identifier.issn0886-1420en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46379-
dc.description.abstractIt is necessary to generate a noise sequence in the simulation of the communication system and signal processing. In the design of some practical system such as radar system, we Must generate a stationary noise sequence with a specified non-Gaussian probability density function and a desired power spectrum to test the performance of the system. For this purpose, this paper presents a method by which such a clutter sequence can be generated. The examples are also demonstrated to show the effectiveness of the proposed method.en_HK
dc.format.extent271578 bytes-
dc.format.extent13817 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE Region 10 Conference on Computers, Communications, Control and Power Engineering Proceedings-
dc.rights©2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectRandom sequencesen_HK
dc.subjectGenerationen_HK
dc.subjectRadar simulationen_HK
dc.titleGeneration of noise sequences with desired non-Gaussian distribution and covarianceen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0886-1420&volume=2&spage=1105&epage=1108&date=2002&atitle=Generation+of+noise+sequences+with+desired+non-Gaussian+distribution+and+covarianceen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/TENCON.2002.1180317-
dc.identifier.scopuseid_2-s2.0-84988267126-
dc.identifier.hkuros81955-
dc.identifier.issnl0886-1420-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats