Plenary Lecture

Data Aggregations Techniques in Over-Sampling Converters

Professor Sorin Dan Grigorescu
Faculty of Electrical Engineering
POLITEHNICA University of Bucharest
Romania
Email: sorin.grigorescu@upb.ro

Abstract: Data flow reduction in digital instrumentation usually comes with the benefit of statistical processing for noise cancellation and preservation of signals correlation parameters among an overall compression of information. Over-sampling techniques offer the unique characteristic of noise shaping in analog to digital converters providing additional accuracy for measurements with the cost of local signal processing for decimation of data.
We present several techniques of data aggregation regarding sigma-delta modulators used in energy counters and power quality analyzers performing unconventional statistical data processing and data aggregation bought in time and frequency domains. Simulations for code and time interpolation data reduction have been performed for primary data flow of the measurement chain and for data collection aggregation for compact power quality parameters extraction.

Brief Biography of the Speaker:
Sorin Dan Grigorescu was born in Bucharest, Romania on June 8, 1958. He received the degree in electronics and telecommunications (1984) and the Ph.D. (dr. eng.) from the Bucharest Polytechnic Institute in 1996.
He performs research and teaching as Professor of virtual instrumentations and distributed measurement systems at the POLITEHNICA University of Bucharest. His research field includes signal processing, monitoring complex systems, power quality and transducers.
He has published more than 200 scientific papers and 20 books, being the head of research team for several governmental and industrial projects in the fields of instrumentation, power quality and integrated control of the drilling rigs.