Course details
Spectral analysis of digital signals
QB2 Acad. year 2003/2004 Winter semester
Fundamental terms and definitions. Methods of spectral analysis for regularly sampled signals. Nonparametric methods for power spectrum estimation - periodogram, Bartlett, Welch and Blackman-Tukey methods. Windowing. Fast algorithms of DFT for general number of samples. Parametric methods for power spectrum estimation - AR, ARMA and MA estimations, Prony's method, Pisarenko Harmonic Decomposition, minimum-variance spectral estimation. Spectral analysis for irregularly sampled signals. Higher-order spectral analysis. Applications of spectral analysis.
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Learning objectives
Aim of the course is to provide students with theory of detemining spectral characteristics of digital signals, their properties and conditions under which the methods can be used.