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
fDate :
10/1/2001 12:00:00 AM
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;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on