2026-09-18T22:49:39Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/326092022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Gerald Jay Sussman.
Hung, Elmer S
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-05-15T20:15:30Z
2006-05-15T20:15:30Z
1994
1994
http://hdl.handle.net/1721.1/32609
31311676
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
Includes bibliographical references (p. 212-216).
by Elmer S. Hung.
M.S.
216 p.
10508546 bytes
10522022 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science
Parameter estimation in chaotic time series
Thesis
application/pdf
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="b48dd6f7-100f-4ad7-84e8-55ecf7526687">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Language>eng</Language>
<Title>Parameter estimation in chaotic time series</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>1994</PublicationDate>
<Authors>
<Author>
<DisplayName>Hung, Elmer S</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>http://dspace.mit.edu/handle/1721.1/7582</License>
<Keyword>Electrical Engineering and Computer Science</Keyword>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>