Digital Sampling Uncertainty Worksheet Features 
This drill-down worksheet provides a useful tool for evaluating measurement uncertainty due to digital sampling error.

Estimating digital sampling uncertainty involves defining a representative "signal" to be sampled and specifying a sampling rate, a sampling aperture time, a quantization precision (sampling full scale and significant bits), an impulse response and hysteresis, a sampling noise level, and a sensor bias uncertainty.  Estimating measurement uncertainty due to digital sampling also involves deciding on a model or methodology for eventual conversion of digitized data back to analog values.

Parameter Identification
The upper section of the Worksheet displays the measuring (or subject) parameter name, description, measurement area, input value, nominal units and tolerance units. You can enter brief descriptive information about the digital sampling uncertainty analysis in the description box. The Input Value typically displays the nominal value for the subject or measuring parameter, but you can specify some other reference value for computing the digital sample uncertainty.

Digital Sampling Uncertainty Error Sources
The Digital Sampling Information section of the Worksheet identifies sampling uncertainty error sources for estimating the total digital sampling uncertainty. 

• Sampling Rate

• Sampling Full Scale and Significant Bits

• Aperture Time

• Impulse Response

• Sampling Noise

• Sensor Error

Information buttons, located to the left of each error source name, provide useful descriptions and definitions.

In some instances, values or limits for an error source can be entered directly in the Digital Sampling Information table.  In most cases, the error source worksheets need to be activated by clicking the button to the right of the error source name, if available. A coefficient can be entered for each error source to increase or decrease the relative weighting of its contribution to the overall digital sampling uncertainty. The default value is 1.0.