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.
Download:
IMEKO-TC4-2007-063.pdf
DOI:
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Event details
IMEKO TC:
TC4
Event name:
TC4 Symposium 2007
Title:
XVth IMEKO TC4 International Symposium on Novelties in Electrical Measurements and Instrumentation (together with 12th IMEKO TC4 Workshop on ADC Modelling and Testing)
Place:
Iasi, ROMANIA
Time:
19 September 2007 - 21 September 2007