Engineering Creativity Award:  Maximum Likelihood Applied   to Spectrum Estimation
{'Code': '07050000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'EEC', 'LongName': 'Div Of Engineering Education and Centers'}}
{'SignBlockName': 'Sue Kemnitzer', 'PO_EMAI': None, 'PO_PHON': None}
The research deals with work in spectrum estimation for                    problems involving finite samples from stationary Gaussian                      stochastic processes.  Emphasis is on the general method for                    achieving estimators with small bias and low variance.                          Theoretical work is in three areas:  1) Implementation via                      lattice filters, 2) Maximum-entropy extension, 3) Complex                       exponentials in noise.  Investigations also involve multi-signal                array processing, beamforming, and delay-doppler radar imaging                  along with mapping of these signal processing algorithms to                     parallel architectures.                                                              This project is one supported under the Creativity Awards                  for Undergraduate Engineering Students.
{'FirstName': 'Michael', 'LastName': 'Miller', 'PI_MID_INIT': 'I', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michael I Miller', 'EmailAddress': 'mim@cis.jhu.edu', 'NSF_ID': '000130278', 'StartDate': '10/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Washington University', 'CityName': 'SAINT LOUIS', 'ZipCode': '63110', 'PhoneNumber': '3147474134', 'StreetAddress': 'ONE BROOKINGS DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Missouri', 'StateCode': 'MO', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'MO01', 'ORG_UEI_NUM': 'L6NFUM28LQM5', 'ORG_LGL_BUS_NAME': 'WASHINGTON UNIVERSITY, THE', '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': '1360', 'Text': 'EWFD-Eng Workforce Development'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8710984.xml'}