Lehrende: Prof. Dr.-Ing. Michael Muma; Prof. Dr.-Ing. Abdelhak Zoubir
Veranstaltungsart: Übung
Orga-Einheit: FB18 Elektrotechnik und Informationstechnik
Anzeige im Stundenplan: Sto. Sign. & Systeme
Fach:
Anrechenbar für:
Semesterwochenstunden: 1
Unterrichtssprache: Deutsch
Min. | Max. Teilnehmerzahl: - | -
Lehrinhalte: 1. Probability theory and random variables - Introduction to probability theory Random variables - Correlation and covariance - The multivariate Gaussian random distribution - Central limit theorem2. Digital processing of continuous-time signals - Periodic sampling - Reconstruction of bandlimited signals - Discrete-time processing of continuous-time signals3. Stochastic processes - Stationary and ergoticity - Correlation functions and widesense stationary - Properties of crosscorrelation functions - Covariance function - Complex random processes4. Power spectral density - Definition of power-spectral density - Wiener-Khintchine theorem - Properties of the PSD - Cross-power spectral density - DC and RMS values for random processes5. Random signals and linear systems - Input-output relationship - The Gaussian random process - Bandpass, bandlimited and narrow band noise processes - Measurement of power spectral density6. Optimum linear systems - The matched filter - Wiener filters7. Least-squares - Parameter estimation - The method of least squares
Literatur: A.M.Zoubir: Stochastic Signal Processing, Manuscript, 2003E.Hänsler: Statistische Signale, 3. Auflage Springer, 2001P.Z.Peebles Jr.: Probability Variables and Random Signal Principles, 4th. Ed. McGraw-Hill, 2000A.Papoulis: Probability, Random Variables and Stochastic Processes, 3rd. Ed. McGraw-Hill, 1991
Voraussetzungen: nothing
Erwartete Teilnehmerzahl: 80
Stochastische Signale und Systeme A
Prof. Dr.-Ing. Michael Muma
Do, 21. Apr. 2011 [16:15]-Do, 14. Jul. 2011 [17:55]
Stochastische Signale und Systeme B