227-0436-00L  Digital Communication and Signal Processing

SemesterSpring Semester 2020
LecturersA. Wittneben
Periodicityyearly recurring course
Language of instructionEnglish


227-0436-00 VDigital Communication and Signal Processing2 hrs
Wed10:15-12:00ETZ H 91 »
A. Wittneben
227-0436-00 UDigital Communication and Signal Processing2 hrs
Wed08:15-10:00ETZ H 91 »
A. Wittneben

Catalogue data

AbstractA comprehensive presentation of modern digital modulation, detection and synchronization schemes and relevant aspects of signal processing enables the student to analyze, simulate, implement and research the physical layer of advanced digital communication schemes. The course both covers the underlying theory and provides problem solving and hands-on experience.
ObjectiveDigital 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 a seminar block, in which the students develop their analytical and experimental (simulation) problem solving skills. After a review of major aspects of wireless communication we discuss, simulate and present the performance of novel cooperative and adaptive multiuser wireless communication systems. As part of this seminar each students has to give a 15 minute presentation and actively attends the presentations of the classmates. In Part III we cover parameter estimation and synchronization. Based on the classical discrete detection and estimation theory we develop maximum likelihood inspired digital algorithms for symbol timing and frequency synchronization.
ContentPart I: 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 II: Seminar block on cooperative wireless communication
• review of the basic concepts of wireless communication
• multiuser amplify&forward relaying
• performance evaluation of adaptive A&F relaying schemes and student presentations

Part III: Parameter estimation and synchronization
• Discrete detection theory
• Discrete estimation theory
• Synthesis of synchronization algorithms
• Frequency estimation
• Timing adjustment by interpolation
Lecture notesLecture notes.
Literature[1] Oppenheim, A. V., Schafer, R. W., "Discrete-time signal processing", Prentice-Hall, ISBN 0-13-754920-2.
[2] Haykin, S., "Adaptive filter theory", Prentice-Hall, ISBN 0-13-090126-1.
[3] Van Trees, H. L., "Detection , estimation and modulation theory", John Wiley&Sons, ISBN 0-471-09517-6.
[4] Meyr, H., Moeneclaey, M., Fechtel, S. A., "Digital communication receivers: synchronization, channel estimation and signal processing", John Wiley&Sons, ISBN 0-471-50275-8.
Prerequisites / NoticeFormal prerequisites: none
Recommended: Communication Systems or equivalent

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits6 credits
ExaminersA. Wittneben
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examinationoral 30 minutes
Additional information on mode of examinationAt about midterm the lecture comprises in Part II a seminar, in which the students perform computer simulations relating to cutting edge research problems in the area of Cooperative Communication. As part of the seminar, the students present their results to the class. These presentations are a "compulsory continuous performance assessment" and are graded on a pass/fail basis. If a student fails in the first presentation, he/she is invited to a second attempt based on a detailed and constructive critical appreciation of the first failed attempt. Participation in the oral "session examination" requires having passed this "compulsory continuous performance assessment".
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

No public learning materials available.
Only public learning materials are listed.


No information on groups available.


There are no additional restrictions for the registration.

Offered in

Electrical Engineering and Information Technology MasterCore SubjectsWInformation
Electrical Engineering and Information Technology MasterRecommended SubjectsWInformation
Electrical Engineering and Information Technology MasterAdvanced Core CoursesWInformation
Electrical Engineering and Information Technology MasterSpecialization CoursesWInformation
Electrical Engineering and Information Technology MasterSpecialization CoursesWInformation
Electrical Engineering and Information Technology MasterRecommended SubjectsWInformation