Instrument noise and weighting factors in data analysis
Abstract
The presence of random instrument noise is shown to be a cause of error in the data analysis if two conditions are satisfied: a weighting scheme must be used to interpret the collected data, and the value of the weighting factor must be dependent on a measured variable. The mathematical source of this error is derived for a general noise signal, variable, and source distribution. A detailed example as might be applied to a real system is included to show the expected magnitude and trends of the generated error terms.
 Publication:

Experiments in Fluids
 Pub Date:
 1990
 Bibcode:
 1990ExFl....9R.290H
 Keywords:

 Data Processing;
 Instrument Errors;
 Laser Doppler Velocimeters;
 Raman Spectroscopy;
 Weighting Functions;
 Probability Distribution Functions;
 Temperature Measurement;
 Velocity Measurement;
 Instrumentation and Photography