Digital Communication and Signal Processing 2017

8th Semester, D-ITET, 6 credits

Course Number

Digital communication systems are characterized by ever increasing requirements on data rate, spectral efficiency and reliability. Due to the huge advances in very large scale integration (VLSI) we are now able to implement extremely complex digital signal processing algorithms to meet these challenges. As a result the physical layer (PHY) of digital communication systems has become the dominant function in most state-of-the-art system designs. In this course we discuss the major elements of PHY implementations in a rigorous theoretical fashion and present important practical examples to illustrate the application of the theory. In Part I we treat discrete time linear adaptive filters, which are a core component to handle multiuser and intersymbol interference in time-variant channels. Part II is presented in form of a seminar, designed to give the students hands-on experience in modern cooperative wireless communication techniques. Based on different relaying strategies, we develop a theoretical and simulative analysis of multiuser networks. In Part III we cover parameter estimation and synchronization. Based on the classical discrete detection and estimation theory we develop digital algorithms for symbol timing and frequency synchronization.

Prof. Dr. Armin Wittneben

Teaching Assistants
Tim Rüegg
Gregor Dumphart

Discussion: Wednesday, 08:15-09:00 and 11:10-11:55, ETZ H91, starting March 01, 2017
Lecture: Wednesday, 09:15-11:00, ETZ H91, starting February 22, 2017

Handouts and Problem Sets
A document with all relevant organizational information about the course can be found here.
Lecture handouts and the problem sets can be found here (access restricted to domain

Part 1: Linear adaptive filters for digital communication
  • Finite impulse response (FIR) filter for temporal and spectral shaping
  • Wiener filters
  • Method of steepest descent
  • Least mean square adaptive filters
Part 2: Seminar block on cooperative wireless communication
  • Review of the basic concepts of wireless communication
  • Multiuser amplify & forward and decode & forward relaying strategies
  • Performance evaluation of adaptive A&F and D&F relaying schemes and oral student presentations
Part 3: Parameter estimation and synchronization
  • Discrete detection theory
  • Discrete estimation theory
  • Synthesis of synchronization algorithms
  • Frequency estimation

Main References: