EVALUATION OF UNCERTAINTY IN DIGITAL PROCESSING OF QUANTIZED DATA |
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| Nicola Locci, Carlo Muscas, Emilio Ghiani |
- Abstract:
- The paper deals with the uncertainty in measurement based on digital signal processing algorithms, like those achievable with the virtual instruments. The correct estimation of bias and uncertainty is discussed with reference to a simple case study. Three possible approaches to this question are examined and compared. It is shown how a Monte Carlo method, based on numerical simulations and implemented with commercial software packages, can allow virtual instruments to perform an auto-evaluation of both bias and uncertainty affecting their results. Some theoretical considerations, computer simulations and experimental tests are shown to support the proposed technique.
- Keywords:
- measurement uncertainty, digital signal processing, virtual instruments, sampled data
- Download:
- IMEKO-TC4-2001-056.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC4
- Event name:
- TC4 Symposium 2001
- Title:
11th IMEKO TC4 Symposium on Trends in Electrical Measurements and Instrumentation (together with 6th IMEKO TC4 Workshop on ADC Modelling and Testing)
- Place:
- Lisbon, PORTUGAL
- Time:
- 13 September 2001 - 14 September 2001