Contributions to the Theory of Modeling of Stochastic       Processes
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
{'SignBlockName': 'george hazelrigg', 'PO_EMAI': None, 'PO_PHON': None}
This research seeks to develop a theory for recursively updated            models for stochastic processes based on covariance data.  A general            pole-zero structure for the modeling filters is being considered while          the order of the filters is permitted to increase with the number of            covariance samples.  The structure of the filters and the                       identification schemes to be developed rely on a certain approximate            separation principle that applies to the tasks of identifying poles             and zeros of a power spectrum.  A second issue to be investigated               concerns the development of fast algorithms for spectral                        factorization.  Recent advances hold the promise of giving rise to              novel and fast spectral factorization algorithms.
{'FirstName': 'Tryphon', 'LastName': 'Georgiou', 'PI_MID_INIT': 'T', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tryphon T Georgiou', 'EmailAddress': 'tryphon@uci.edu', 'NSF_ID': '000264261', 'StartDate': '09/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Iowa State University', 'CityName': 'AMES', 'ZipCode': '500112103', 'PhoneNumber': '5152945225', 'StreetAddress': '1350 BEARDSHEAR HALL', 'StreetAddress2': '515 MORRILL ROAD', 'CountryName': 'United States', 'StateName': 'Iowa', 'StateCode': 'IA', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'IA04', 'ORG_UEI_NUM': 'DQDBM7FGJPC5', 'ORG_LGL_BUS_NAME': 'IOWA STATE UNIVERSITY OF SCIENCE AND TECHNOLOGY', 'ORG_PRNT_UEI_NUM': 'DQDBM7FGJPC5'}
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{'Code': '145900', 'Text': 'COMMUNICATIONS SYSTEMS'}
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