Research Initiation:  Optimum Signal Detection in Asynchro- nous Gaussian Multiple-Access Channels
{'Code': '05040003', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'MIP', 'LongName': 'Division of Microelectronic Information Processing Systems'}}
{'SignBlockName': 'Linda Coley', 'PO_EMAI': None, 'PO_PHON': None}
The objective of this research project is to develop analytical tools           for the study of the error probability and computational complexity of          decentralized multi-user detectors and the performance limits                   achievable by coding.  To approach the analysis of the error                    probability of these signal detection problems, the techniques of               optimum sequence detection in colored non-Gaussian noise will be                applied.  Computational complexity will be studied to determine whether         polynomial-time rules exist with near-minimum probability of error.             The primary objectives of the analysis of performance limits are to             determine whether existing results that assume symbol-synchronization           among users holds in the completely asynchronous case, and to analyze           the dependence of system performance on signal energies.
{'FirstName': 'Sergio', 'LastName': 'Verdu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sergio Verdu', 'EmailAddress': 'verdu@princeton.edu', 'NSF_ID': '000313701', 'StartDate': '05/01/1985', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Princeton University', 'CityName': 'PRINCETON', 'ZipCode': '085442001', 'PhoneNumber': '6092583090', 'StreetAddress': '1 NASSAU HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Jersey', 'StateCode': 'NJ', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NJ12', 'ORG_UEI_NUM': 'NJ1YPQXQG7U5', 'ORG_LGL_BUS_NAME': 'THE TRUSTEES OF PRINCETON UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '1453', 'Text': 'COMMU SYSTEMS & SIGNAL PROCESS'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1985&All=true', 'xml': '8504752.xml'}