Data acquisition systems, and those which monitor the continuously changing value of a parameter, do so for a variety of applications. Among these is statistical analysis, where the objective is to check for patterns of behaviour, or simply to check parameter limits and convey warnings and alarms.
Since computer systems are far happier manipulating discrete values of a parameter, rather than a continuously varying analogue value, it is convenient to measure the value of that parameter at discrete points in time, and pass the time-value pairs to the computer for analysis.
In pursuit of that goal, we will propose a model of a sample-and-hold circuit, and analyse its performance in the time and frequency domains. We will also discuss other applications of sampling, specifically those arising from intentional undersampling.
Experiment Findings Exploring the Sampling Theorem with SPICE
Dear Mark,
After going through your paper i found it interesting as a useful educational material for the sampling theory. Thank you for your effort for demonstrating the complicated functions.
Best wishes
Sampling Theory sets the limits.
As an example if you have a signal s(t). First you find the max frequency in it (let us say F). You have to sample at a rate 2F for not to loss any information.
Please read my paper (Construction of The Sampled Signal Up To Any Frequency While Keeping The Sampling Rate Fixed)
This paper is a good example for real time DSP.
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