1. Introduction - Review
1.1 General block diagram of a digital communication system
1.2 Characterisation of signals and systems
1.2.1 Periodic signals
1.2.2 Transient signals
1.2.3 Random signals and noise
1.3 LTI - system characterisation
2. Basics of Digital Communications
2.1 Pulse Code Modulation
2.1.1 Sampling theorems for lowpass and bandpass signals
2.1.2 Quantization, coding and SNR calculations
2.2 Pulse shaping for optimum transmission
2.2.1 Inter - Symbol - Interference (ISI)
2.2.2 Nyquist criteria
2.2.3 Raised cosine rolloff filtering
2.3 Filtering for Optimum Detection (Matched Filter, Correlation)
3. Baseband Transmission and Line Coding
3.1 Binary and Multilevel Signaling
3.2 Line Codes and Spectra
3.2.1 General Requirements on Line codes
3.2.2 Line Codes and Applications 3.2.3 Power Spectra and Spectral Efficiency of Binary Line Codes

4. Bandpass modulation of carrier signals
4.1 Digital bandpass modulations overview
4.2 Phase constellation diagram
4.3 Digital Quadrature Modulator and Demodulator Implementation Structures
4.4 Analysis of exemplary digital carrier modulation schemes
5. Digital communication system analysis and simulation
5.1 Eye pattern diagram
5.2 Bit-error-rate calculation
5.3 Simulation and optimization of digital communication systems using MATLAB/SIMULINK/Communication Toolbox

Glover, P.M. Grant: Digital Communications. Pearson Education Limited, London, 2009.
L. W. Couch II: Digital and Analog Communication Systems. Pearson India, 2013

J. G. Proakis: Digital Communications. McGraw-Hill, New York, 2007.
B.Sklar: Digital Communications: Fundamentals and Applications. Prentice Hall, 2020

Introduction
Coding; Types of Coding; Modelling of noisy Digital Communication Channels; Coding Gain

Information Theoretical Analysis of a Communication Link
Digital Communication System Model; Information Measures; Entropy and Redundancy, Equivocation, Irrelevance and Transinformation of a Communication Link; Channel Capacity; Examples

Error Protection Coding (FEC)
• General error protection strategies, Types and Capabilities of Linear Codes; Boundaries of Linear Codes
• Mechanisation of Coding and Decoding of linear Block Codes
• Special linear block codes: Hamming Codes, Simplex Codes, Reed-Muller Codes, cyclic block codes, Reed-Solomon (RS) Codes; Bose-Chaudhuri-Hocquenghem (BCH) Codes
• Error Protection Coding for burst error channels: CRC-Codes, Fire-Codes, Interleaving
• Convolutional Coding: Description of convolutional Codes (Tree-, State- and Trellis-Diagram); Characteristics of convolutional Codes (minimum free distance, catastrophic error propagation etc.); ML-Decoding Principle (hard/soft decision Viterbi decoding); puncturing

Advanced Error Protection Coding
• Concatenated Coding:
serial concatenated coding (Product Codes)
parallel concatenated Coding (Turbo Codes)
• Low-density parity-check codes (LDPC - Gallager-Codes)
• Polar Codes

Lab Exercises:
Simulation of different communication links applying linear block coding and convolutional coding for error protection using MATLAB/SIMULINK/Communication Toolbox

W. Henkel: Channel Coding. Springer, 2025

D. Declercq et al.: Channel Coding: Theory, Algorithms, and Applications:
Academic Press, 2014.