TEACHING BASIC MEASUREMENT ALGORITHMS AT UNIVERSITY VIA INTERNET

Jan Blaška, Miloš Sedláček
Abstract:
Present-day measurement is oriented to processing digital signals, that is sequences of quantized samples of analog signal. Processing is performed by means of combinations of standard and special numerical algorithms. Knowledge of the basic signal processing algorithms is therefore necessary for successful design of complete algorithm for a given measurement task. The contribution shows a modern mean of teaching basic signal processing algorithms used in measurement without forcing students to come to computer laboratory. Students need only to have at their disposal a computer provided with a common web browser. The contribution describes materials for teaching three basic algorithms (DFT/FFT, digital filters, and correlation), but the described procedure can be used for teaching other digital processing algorithms as well. All what is necessary for using this type of teaching is MATLAB, the toolbox(es) necessary for the given application, and the new component of MATLAB, called MATLAB Web Server, installed on one computer only (the server). The described method need not of course be used only by university students.
Keywords:
MATLAB, internet, distant teaching, signal processing
Download:
IMEKO-TC4-2002-225.pdf
DOI:
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