Research in Multi-Dimensional Signal Processing
{'Code': '05010800', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}
{'SignBlockName': 'Paul T. Hulina'}
Multi-dimensional signal processing involves the processing of signals          which depend on more than one independent variable.  Signals received           by an array of sensors represent a class of problems in which advantage         can be gained by multi-dimensional signal processing.  The array can be         comprised of spatially distributed sensors or it can be synthesized by          a single sensor mounted on a moving platform.  This research program is         directed at three important areas:  signal synthesis and reconstruction         from partial Fourier domain information, multi-dimensional spectral             estimation, and short time processing of multi-dimensional signals.             There are a number of important issues that will be explored in each of         these areas; in many instances, the research focuses on the study and           development of algorithms and a number of potential directions for              applications.
{'FirstName': 'Alan', 'LastName': 'Oppenheim', 'EmailAddress': None, 'StartDate': '10/15/1984', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Massachusetts Institute of Technology', 'CityName': 'Cambridge', 'ZipCode': '021394301', 'PhoneNumber': '6172531000', 'StreetAddress': '77 MASSACHUSETTS AVE', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA'}
[{'Code': '1453', 'Text': 'COMMU SYSTEMS & SIGNAL PROCESS'}, {'Code': '4720', 'Text': 'SIGNAL PROCESSING SYS PROGRAM'}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1984&All=true', 'xml': '8407285.xml'}