Research Initiation:  Stationary Stochastic Models For      Flicker Noise Based on Internal-Valued Probability
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
{'SignBlockName': 'Radhakisan Baheti', 'PO_EMAI': None, 'PO_PHON': None}
The development of alternative statistical models for flicker (1/f)             noise in a framework broader than that of numerical probability.  Such          models are needed for flicker noise phenomena that occur in stable,             time-invariant systems, yet exhibit power spectra that are not                  attributable to stationary processes in the usual sense of the term.            Our experience with the area of interval-valued probability leads us            to speculate that the sought models may be found there, and we put              forward systematic procedures for searching that area.  This is one of          the rare instances in which the usual concept of numerical probability          fails to yield satisfactory models, and an alternative concept seems            more promising.
{'FirstName': 'Adrian', 'LastName': 'Papamarcou', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Adrian Papamarcou', 'EmailAddress': 'adrian@glue.umd.edu', 'NSF_ID': '000188330', 'StartDate': '06/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Maryland, College Park', 'CityName': 'COLLEGE PARK', 'ZipCode': '207425100', 'PhoneNumber': '3014056269', 'StreetAddress': '3112 LEE BUILDING', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'MD04', 'ORG_UEI_NUM': 'NPU8ULVAAS23', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MARYLAND, COLLEGE PARK', 'ORG_PRNT_UEI_NUM': 'NPU8ULVAAS23'}
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{'Code': '1454', 'Text': 'SYSTEMS THEORY'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8809325.xml'}