Students are able to
- assess analog and discrete time systems with regards to basic system properties such as linearity, time-invariance, memory, … (K2, K3, K5),
- plot signals in time- and frequency domain (K3, K6),
- explain, apply, and derive the sampling theorem (K2, K5),
- apply the convolution and correlation operations (K3),
- derive the spectrum of a signal numerically with the help of the DFT and the FFT (K3, K6),
- describe the behavior of discrete-time LTI systems in time- and frequency domain (K2, K3,K6),
- analyze and design digital FIR and IIR filters (K3, K4, K6), and
- apply the LMS adaptive filter algorithm (K2, K3).
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- Basics of Analog Systems Theory
- Discrete Time Signals Fundamentals
- Discrete Time LTI Systems Fundamentals
- Fourier Transform of Discrete Time Signals (DTFT)
- Sampling and Reconstruction
- Correlation
- Spectral Analysis of Discrete Time Signals (DFT, FFT, Short Time Fourier Transformation, Applications)
- z-Transform
- Digital Filters (FIR, IIR)
- Vector/Matrix Representations of Discrete Time Signals and LTI Systems
- Adaptive Filter Basics
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