Stationary and non-stationary Spectral Analysis

Official Course Description

Description

Basic definitions. Continued study of AR (auto regressive), MA (moving average) and ARMA-processes. Line spectrum and parametric estimating methods. Sub space based techniques. Non-parametric spectral estimators, data-adaptive techniques and multi window techniques. Non-uniform sampling. Orientation about circular and non-circular processes. Spatial spectral analysis. Non-stationary signals. Spectrogram. Wigner-Ville distribution. Cohen’s class. Ambiguity-spectrum. Doppler-spectrum. Multi-window techniques for non-stationary signals. Orientation about bi-spectrum.

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