Investigation of Constrained Adaptive Algorithms for        Narrow-Band Signals with Additive White Noise
{'Code': '05040003', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'MIP', 'LongName': 'Division of Microelectronic Information Processing Systems'}}
{'SignBlockName': 'Helen A. Walston', 'PO_EMAI': None, 'PO_PHON': None}
Practical communications systems sometimes contain unknown signals or           signals that are slowly time varying, and that in both cases have               additive noise.  The objective of this research is to design and                analyze novel adaptive filters for narrow-band signals with additive            noise using the recursive prediction error method.  Applications would          be in extracting and eliminating narrow-band components in sonar signal         processing, speech processing and spectral estimation.
{'FirstName': 'Arye', 'LastName': 'Nehorai', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Arye Nehorai', 'EmailAddress': 'nehorai@ese.wustl.edu', 'NSF_ID': '000464656', 'StartDate': '06/15/1986', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Yale University', 'CityName': 'NEW HAVEN', 'ZipCode': '065113572', 'PhoneNumber': '2037854689', 'StreetAddress': '150 MUNSON ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Connecticut', 'StateCode': 'CT', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'CT03', 'ORG_UEI_NUM': 'FL6GV84CKN57', 'ORG_LGL_BUS_NAME': 'YALE UNIV', 'ORG_PRNT_UEI_NUM': 'FL6GV84CKN57'}
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{'Code': '1453', 'Text': 'COMMU SYSTEMS & SIGNAL PROCESS'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1986&All=true', 'xml': '8604351.xml'}