2. Description of analog signals in the frequency range: Fourier series, Fourier transformation, autocorrelation, power spectral density, Hilbert transformation
3. Measurement and processing of analog sensor signals: pure current and pure voltage circuits, analog measuring instruments, analog filters, carrier amplifiers, analog signal processing with operational amplifiers, AC measuring bridges, floating sensor, instrumentation amplifier, analog oscilloscope, analog function generator
4. Analog-digital converter and description of digital signals in the frequency range: A/D conversion, sample and hold element, quantification, discrete-time Fourier series, DTFT, scan theorem, over-sampling, down-sampling, DFT, Z transformation
5. Measurement and processing of digital signals: discrete-time estimation of energy spectra, structure function, digital filters, designing of digital filters, bus systems and integration into LabView, signal detection, statistical analysis and modeling of signals, ARMA models, prediction error, maximum likelihood estimation, digital multimeter, digital oscilloscope
6. Introduction to mathematical morphology: basic morphological operations - dilation, erosion, opening, closing, hough transformation, segmentation methods, Sobel filters, watershed transformation
The lecture will be supplemented with integrated exercises using practical examples in Matlab and LabView as well as with using instruments to generate and process signals.