Students are able to
- explain and apply linear and nonlinear modulation schemes (k2,k3)
- explain and design optimum and sub-optimum receivers for different channel types (k2,k3)
- explain and design an optimum non-coherent receiver for an AWGN channel (k2,k3)
- explain and derive a least-square channel estimator (k2,k3)
- explain and apply machine learning for digital communication systems (k2,k3)
- analyze digital communication systems using different performance metrics (k3,k4)
- explain the principles of state-of-the-art digital communication systems (k2)
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- Linear and nonlinear modulation schemes
- Optimum and sub-optimum coherent receiver for AWGN and ISI channels
- Optimum non-coherent receiver for AWGN channel
- Least-square channel estimation
- Machine learning for digital communication systems
- Performance metrics (error performance, bandwidth efficiency, ...)
- State-of-the-art digital communication systems: orthogonal division multiplexing (OFDM), molecular communications
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