Signal processing and system identification (E371096)
Katedra:ústav přístrojové a řídící techniky (12110)
Platí do: ??Rozsah:2P+2C
Zakončení:Z,ZKJazyk výuky:EN
Explanation of basic concepts relating to the processing and analysis of signals and their use to obtain a description of a deterministic or stochastic system for the purpose of automatic control. The experimental identification of systems that can be described by linear models is explained in more detail.
• Basic concepts of signal processing and system identification
• Analog and digital filters, classification and their implementation
• Linear time invariant continuous and discrete models
• Discretization, sampling, frequency properties, anti-aliasing filter
• Parametrization of step and frequency responses
• Concepts of probability theory and stochastic processes
• Characteristics of stochastic processes
• Continuous and discrete Fourier Transform
• Power spectrum, periodogram, white noise
• Identification of dynamic systems in the time domain (linear regression)
• Identification of dynamic systems in the frequency domain
• Time-discrete parametric stochastic models of signals and systems
• Kalman filter - optimal filtration based on the internal description of the system
Osnova cvičení
• Hofreiter, M.: Identifikace systémů I, ČVUT v Praze, 2009, 202 s. ISBN 978-80-01-04228-1
• E. W. Kamen and B. S. Heck: Fundamentals of Signals and Systems (2nd Edition), Prentice Hall, 2006
• L. Ljung: System Identification: Theory for the User (2nd Edition), Prentice Hall, 1999
• O. Alkin: Signals and Systems (1st Edition), Taylor & Francis Group, 2014
Klíčová slova
data online/KOS/FS :: [Helpdesk] (hlášení problémů) :: - datum tisku: 10.8.2020, 8:06 © 2011-2017 [CPS] v3.7 (master/180e4e5a/2019-10-09/02:51)