Upgrading E-learning of basic measurement algorithms based on DSP and MATLAB Web Server

Milos Sedlacek, Ondrej Tomiska

Abstract

The paper presents an upgraded version of an application of MATLAB web server, one of MATLAB toolboxes, for teaching/learning some selected measurement algorithms important in processing discrete-time signals in measurement. The original version is described in [1] and [2]. The topics included are DFT/FFT (demonstration of DFT basic properties and DFT application in spectrum analysis and detection of week tones close to a strong tone), FIR filters (including the important moving average filter), basic IIR filters and some basics of stochastic signal processing in time domain and amplitude domain including finding SNR using correlation analysis. This upgraded version of MATLAB web server application is currently replacing an old one in teaching signal processing at Department of Measurement of the CTU in Prague, Faculty of Electrical Engineering, for both the students studying in Czech and (mostly Erasmus students) in English.

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IMEKO-TC4-2007-063.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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