700.650 (15W) Signal Processing for Communications

Wintersemester 2015/16

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Overview

Lecturer
Course title german
Signal Processing for Communications
Type
Lecture - Course (continuous assessment course )
Hours per Week
2.0
ECTS-credits
4.0
Registrations
10 (25 max.) Anzahl der tatsächlich angemeldeten Studierenden
Organisational Unit
Language of Instruction
German
Course begins on (set in LVOnline)
05.10.2015
eLearning
go to Moodle-Course

Time and place

Tag von - bis Raum Details
Mo, 05.10.2015 15:00 - 16:30 B04, L4104 wöchentlich
Mo, 12.10.2015 15:00 - 16:30 B04, L4104 wöchentlich
Mo, 19.10.2015 15:00 - 16:30 B04, L4104 wöchentlich
Mo, 09.11.2015 15:00 - 16:30 B04, L4104 wöchentlich
Mo, 16.11.2015 15:00 - 16:30 B04, L4104 wöchentlich
Mo, 23.11.2015 15:00 - 16:30 B04, L4104 wöchentlich
Mo, 30.11.2015 15:00 - 16:30 B04, L4104 wöchentlich
Mo, 07.12.2015 15:00 - 16:30 B04, L4104 wöchentlich
Mo, 14.12.2015 15:00 - 16:30 B04, L4104 wöchentlich
Mo, 11.01.2016 15:00 - 16:30 B04, L4104 wöchentlich
Mo, 18.01.2016 15:00 - 16:30 B04, L4104 wöchentlich
Mo, 25.01.2016 15:00 - 16:30 B04, L4104 wöchentlich

Course Information

Learning Outcome

- Signal analysis in communications - Analog modulation - Digital modulation - Quantization - Equalization - Channel estimation

Methodology

- Lectures - Exercizes - Numerical exercizes using Matlab Students are strongly encouraged to take also the Lab Signal processing for Communications

Course overview

The class deals with signal processing for communication systems. Focus is given to the physical layer and the use of signals to model and analyze the full transmission chain. Analog and digital modulation will be explained as well as key algorithms as the optimal receiver and equalization. The student will become familiar not only with communication systems but also will acquire familiarty with deterministic and stochastics signals and processing of data which has application in many different fields of information and communication technology.

Topics

  • Introduction to signal processing and physical layer communications
  • Overview of signals, stochastic processes and systems
  • Complex signals and base band representation of systems
  • Communication medium: examples of wireline/wireless channels and noise
  • Principles of analog modulation: linear modulation, quadrature modulation, AM, FM
  • Quantization: uniform and optimal quantization of analog signals
  • Orthonormal functions representation of signals in digital modulation
  • Digital modulation and the optimal receiver in a noise channel
  • Transmission in dispersive channels: maximum likelhood sequence estimation (MLSE)
  • The Viterbi algorithm in the context of MLSE
  • Linear equalization: zero forcing digital equalizer and whitening filter
  • MMSE equalization and Wiener digital filter
  • Principles of channel estimation: the LMS algorithm

Keywords

Communication systems, signal processing

Course target

Learn about: - modeling and design the physical layer of a communication system - analyzing the performance - using signal theory in the context of communications - applying signal processing to improve performance - use analythic tools and simulation tools (Matlab)

Prior knowledge no registration requirements

- Signal theory (analog and digital signals, filtering, Fourier transform) - Probability theory and stochastic processes - Elements of communication engineering (Nachrichtentechnik)

Literature

- Class notes - Digital Communications (Proakis) - Digital and analog communication systens (Couch)

Exam information

Grading scheme

Note/Grade Benotungsschema

Degree programmes

  • Bachelor's degree programme Information Technology (SKZ: 289, Version: 09W.2)
    • Fach: Informationstechnische Vertiefung (Compulsory subject)
      • Lehrveranstaltungen im Umfang von 9 ECTS ( 6.0h VK,VO,KU / 9.0 ECTS)
        • 700.650 Signal Processing for Communications (2.0h VC / 3.0 ECTS)
  • Bachelor's degree programme Information Technology (SKZ: 289, Version: 06W.1)
    • Fach: Compulsory Elective Courses in Information Technology (Compulsory elective)
      • Lecture ( 4.0h VK / 8.0 ECTS)
        • 700.650 Signal Processing for Communications (2.0h VC / 3.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Networks and Communications: Fundamentals (NC) (Compulsory subject)
      • Signal Processing for Communications V ( 0.0h VK / 4.0 ECTS)
        • 700.650 Signal Processing for Communications (2.0h VC / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Technical Complements (NC, ASR) (Compulsory elective)
      • Wahl aus dem LV-Katalog (Anhang 5) ( 0.0h VK, VO, KU / 12.0 ECTS)
        • 700.650 Signal Processing for Communications (2.0h VC / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Technical Complements (NC, ASR) (Compulsory elective)
      • Wahl aus dem LV-Katalog (Anhang 5) ( 0.0h VK, VO, KU / 12.0 ECTS)
        • 700.650 Signal Processing for Communications (2.0h VC / 4.0 ECTS)
  • Master's degree programme Information Technology (SKZ: 489, Version: 06W.3)
    • Fach: Technischer Schwerpunkt (Embedded Communications and Signal Processing) (Compulsory subject)
      • 1.1-1.3 Vorlesung mit Kurs oder Vorlesung mit Seminar ( 6.0h VK/VS / 12.0 ECTS)
        • 700.650 Signal Processing for Communications (2.0h VC / 4.0 ECTS)
  • Master's degree programme Information Technology (SKZ: 489, Version: 06W.3)
    • Fach: Additional Technical Module I (Compulsory subject)
      • 2.1-2.2 Lecture with Exercises or Lecture with Seminar ( 4.0h VK/VS / 8.0 ECTS)
        • 700.650 Signal Processing for Communications (2.0h VC / 4.0 ECTS)
  • Master's degree programme Information Technology (SKZ: 489, Version: 06W.3)
    • Fach: Additional Technical Module II (Compulsory subject)
      • 3.1-3.3 Lecture with Exercises or Lecture with Seminar ( 6.0h VK/VS / 12.0 ECTS)
        • 700.650 Signal Processing for Communications (2.0h VC / 4.0 ECTS)
  • Doctoral programme Doctoral programme in Interactive and Cognitive Environments (ICE) (SKZ: 094, Version: 10W.1)
    • Fach: Fach 1 (§ 3 Abs. 3) (Compulsory subject)
      • Lehrveranstaltungen gem. § 3 Abs. 3 ( 0.0h XX / 20.0 ECTS)
        • 700.650 Signal Processing for Communications (2.0h VC / 5.0 ECTS)

Equivalent courses for counting the exam attempts

Wintersemester 2018/19
  • 700.650 VC Signal Processing for Communications (2.0h / 4.0ECTS)
Wintersemester 2017/18
  • 700.650 VC Signal Processing for Communications (2.0h / 4.0ECTS)
Wintersemester 2016/17
  • 700.650 VC Signal Processing for Communications (2.0h / 4.0ECTS)
Wintersemester 2012/13
  • 700.650 VK Signal Processing Architectures (2.0h / 4.0ECTS)