# 700.650 (15W) Signal Processing for Communications

## Wintersemester 2015/16

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Erster Termin der LV
05.10.2015 15:00 - 16:30 , B04, L4104 Off Campus
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## Überblick

Lehrende/r
LV-Titel englisch
Signal Processing for Communications
LV-Art
Vorlesung-Kurs (prüfungsimmanente LV )
Semesterstunde/n
2.0
ECTS-Anrechnungspunkte
4.0
Anmeldungen
10 (25 max.)
Organisationseinheit
Unterrichtssprache
Deutsch
LV-Beginn
05.10.2015
eLearning

## Intendierte Lernergebnisse

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

## Lehrmethodik inkl. Einsatz von eLearning-Tools

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

## Inhalt/e

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.

## Themen

• 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

## Schlagworte

Communication systems, signal processing

## Lehrziel

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)

## Erwartete Vorkenntnisse

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

## Literatur

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

## Position im Curriculum

• Bachelorstudium Informationstechnik (SKZ: 289, Version: 09W.2)
• Fach: Informationstechnische Vertiefung (Pflichtfach)
• 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)
• Bachelorstudium Informationstechnik (SKZ: 289, Version: 06W.1)
• Fach: Informationstechnische Vertiefung (Wahlfach)
• Vorlesung mit Kurs (6.1 / 6.2) ( 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) (Pflichtfach)
• 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) (Wahlfach)
• 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) (Wahlfach)
• 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 Technology (SKZ: 489, Version: 06W.3)
• Fach: Technischer Schwerpunkt (Embedded Communications and Signal Processing) (Pflichtfach)
• 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)
• Masterstudium Information Technology (SKZ: 489, Version: 06W.3)
• Fach: Technische Ergänzung I (Pflichtfach)
• 2.1-2.2 Vorlesung mit Kurs oder Vorlesung mit Seminar ( 4.0h VK/VS / 8.0 ECTS)
• 700.650 Signal Processing for Communications (2.0h VC / 4.0 ECTS)
• Masterstudium Information Technology (SKZ: 489, Version: 06W.3)
• Fach: Technische Ergänzung II (Pflichtfach)
• 3.1-3.3 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)
• Doktoratsstudium Internationales PhD-Doktoratsstudium "Interactive and Cognitive Environments" (SKZ: 094, Version: 10W.1)
• Fach: Fach 1 (§ 3 Abs. 3) (Pflichtfach)
• Lehrveranstaltungen gem. § 3 Abs. 3 ( 0.0h XX / 20.0 ECTS)
• 700.650 Signal Processing for Communications (2.0h VC / 5.0 ECTS)

## Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung

Wintersemester 2020/21
• 700.650 VK Signal Processing for Communications (2.0h / 4.0ECTS)
Wintersemester 2019/20
• 700.650 VK Signal Processing for Communications (2.0h / 4.0ECTS)
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)