Analog to Digital Conversion and Data Compression
{'Code': '05010800', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}
{'SignBlockName': 'John Cozzens', 'PO_EMAI': None, 'PO_PHON': None}
Both fundamental theory and design algorithms are developed for systems         which convert analog data into digital representation.  The examples of         principal interest are oversampled analog-to-digital converters (ADC)           and vector quantization systems.  The latter emphasizes low-rate                communications and data storage systems where the PI has made                   significant contributions in the past.  The former emphasizes recently          developed architectures for high rate ADC by using scalar feedback              binary quantizers at a sampling rate much higher than the Nyquist rate.                                                                                                                                                                         An additional research topic is the interplay between these systems, e.         g. the use of an oversampled ADC front end to a data compression system         using vector quantization.  The main application area for this work is          speech transmission and recognition.                                            Signals exist mainly in analog form, thus prior to digital processing           they must be sampled and converted to finite-length computer words by a         process called quantization.  This task is performed by the so-called           analog-to-digital converter (ADC).  The PI brings new mathematical              methods to bear on the analysis of oversampled ADC's, a particularly            attractive class of quantizers from the implementation point of view.
{'FirstName': 'Robert', 'LastName': 'Gray', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Robert M Gray', 'EmailAddress': 'rmgray@stanford.edu', 'NSF_ID': '000100510', 'StartDate': '10/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Stanford University', 'CityName': 'STANFORD', 'ZipCode': '943052004', 'PhoneNumber': '6507232300', 'StreetAddress': '450 JANE STANFORD WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '16', 'CONGRESS_DISTRICT_ORG': 'CA16', 'ORG_UEI_NUM': 'HJD6G4D6TJY5', 'ORG_LGL_BUS_NAME': 'THE LELAND STANFORD JUNIOR UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
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[{'Code': '4710', 'Text': 'DES AUTO FOR MICRO & NANO SYS'}, {'Code': '4720', 'Text': 'SIGNAL PROCESSING SYS PROGRAM'}]
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