DocumentCode
1546800
Title
Random sampling applied to the measurement of a DC signal immersed in noise
Author
Carrica, Daniel ; Benedetti, Mario ; Petrocelli, Roberto
Author_Institution
Laboratorio de Instrumentacion y Control, Universidad Nacional de Mar del Plata, Argentina
Volume
50
Issue
5
fYear
2001
fDate
10/1/2001 12:00:00 AM
Firstpage
1319
Lastpage
1323
Abstract
This paper introduces the use of random sampling for the recovery of DC signals immersed in noise. This technique avoids the use of antialiasing filters even if the disturbance frequencies are higher than the maximum sampling frequency available. The use of random sampling and a moving average filter for the measurement of DC signals is mathematically and experimentally demonstrated
Keywords
Gaussian noise; analogue-digital conversion; digital filters; moving average processes; signal sampling; DC measurement; Gaussian distribution; digital processing; moving average filter; noise immersed DC signals; normalized variance; random sampling; signal recovery; uncertain interval; Distortion measurement; Filters; Frequency measurement; Information filtering; Instruments; Laboratories; Noise measurement; Sampling methods; Signal processing; Signal sampling;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/19.963204
Filename
963204
Link To Document