Topics in Low Noise  and Time-Varying Digital Signal Proces-sing
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{'SignBlockName': 'Helen A. Walston', 'PO_EMAI': None, 'PO_PHON': None}
In this research program, two important problem areas in the field of           digital signal processing are examined.  The first topic deals with the         design of finite-impulse response (FIR) digital filters with fixed              length coefficients.  For cases where the filter length is too long to          make use of optimal techniques, the coefficients are quantized with an          error spectrum shaping quantizer.  This technique allows the error due          to rounding to be weighted in a desired fashion within the frequency            band.  The second topic of research is in the area of linear                    time-varying signal processing.  An important feature of such                   processing is that both the analysis and design can be approached               within a standard framework, permitting the solution to be accomplished         in a uniform manner.
{'FirstName': 'David', 'LastName': 'Munson', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David C Munson', 'EmailAddress': 'dcmunson@umich.edu', 'PI_PHON': '7347643317', 'NSF_ID': '000272328', 'StartDate': '05/15/1985', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Illinois at Urbana-Champaign', 'CityName': 'URBANA', 'ZipCode': '618013620', 'PhoneNumber': '2173332187', 'StreetAddress': '506 S WRIGHT ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'IL13', 'ORG_UEI_NUM': 'Y8CWNJRCNN91', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ILLINOIS', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '1453', 'Text': 'COMMU SYSTEMS & SIGNAL PROCESS'}
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