Embedded Systems and Signal Processing

Students learn the principles and concepts of modern signal processing with focus on highly integrated digital transmission systems (e.g. mobile-phones, WLAN). In laboratory exercises methods and concepts covered in the lectures are implemented and tested on hardware (FPGAs, DSPs, μCs) by students.

Semester	Summer semester
Allocation in the Curriculum	Master Curriculum, Information Technology Technical specialization "Embedded Communications and Signal Processing" Technical specialization "Mobile and Wireless Systems" Technical supplementary subject I and II
Recommended Semester	2nd
Teacher	Prof. Mario Huemer, Michael Lunglmayr Embedded Systems and Signal Processing Group, Institute of Networked and Embedded Systems Email: Mario.Huemer@aau.at, Michael.Lunglmayr@aau.at
Type of lecture and number of credits	VK 2 SWS, 4 ECTS
Description	This lecture course deals with the architecture of modern wireless communication systems. All main functional blocks of a mobile phone platform including the baseband processor and the RF (radio frequency) transceiver are addressed. A main focus is on the board level and on the chip level architectures. In the "Digital Baseband Transceiver" chapter important baseband algorithms (equalization, channel estimation, OFDM, MIMO signal processing,...), possible implementation options, and corresponding complexity considerations are discussed. The "Analog Transceiver" chapter deals with the analog signal processing tasks of a wireless device, modern transmitter and receiver architectures are discussed and future trends on the way to Software Defined Radio (SDR) architectures are presented. In parallel a practical course will be offered. Systems and algorithms presented in the lecture will be simulated and tested in the MATLAB/SIMULINK environment.
Topics	1. Introductory part (Short review on digital communications) 2. The mobile radio channel 3. Abstract hardware view on a mobile phone terminal platform 4. The digital baseband transceiver 5. Single versus multi carrier techniques (OFDM) 6. Channel estimation, equalization 7. MIMO concepts 8. The analog transceiver 9. Receiver architectures 10. Transmitter architectures
Keywords	Mobile phone platforms, mobile radio channel, digital modulation, equalization, channel estimation, OFDM, RF transceivers
Prior knowledge	Basics in digital communications
Learning objective	Blocks and tasks of mobile phone platforms Data transmission over frequency selective and/or time variant channels Equalization Single versus multi carrier transmission RF transceiver architectures
Recommended Literature	Lecture notes
Language	English
Related Lectures	Mobile Communications
Recommended Lectures	Communications Engineering (Nachrichtentechnik)

[700.650] Signal Processing Architectures

Semester	Winter semester
Allocation in the Curriculum	Master Curriculum, Information Technology Technical specialization "Embedded Communications and Signal Processing" Technical supplementary subject I and II
Recommended Semester
Teacher	Prof. Mario Huemer Embedded Systems and Signal Processing Group, Institute of Networked and Embedded Systems Email: Mario.Huemer@aau.at
Type of lecture and number of credits	VK 2 SWS, 4 ECTS
Description	This lecture course deals with signal processing algorithms and with appropriate implementation architectures that focus on embedded applications. As a consequence low power consumption and low chip area are of great importance for the regarded architectures. The course starts with a short repetition of important signal processing theory and algorithms (FFT, digital filters). In the following the focus lies on implementation oriented issues like fixed point effects and architecture options for various important signal processing algorithms and applications. In parallel a lab will be offered, which will cover the following: MATLAB part: the effects and architectures covered in the lecture are in-depth studied with the help of MATLAB/SIMULINK simulations, Review of VHDL programming Implementation of signal processing architectures on FPGAs
Topics	1. Introduction & review of digital signal processing basics 2. DSP arithmetic 3. DSP hardware: DSPs, FPGAs and ASICs 4. CORDIC-algorithm: theory, architectures and applications 5. Fixed point effects in digital filtering 6. Multirate signal processing (interpolation, decimation, filter banks): theory and low power / low area HW-architectures 7. Low cost digital filters 8. Sigma-delta modulation and oversampling ADCs 9. Numerically controlled oscillators
Keywords
Prior knowledge
Learning objective
Recommended Literature	Lecture notes
Language	English
Related Lectures
Recommended Lectures

[700.660] Information Theory and its Applications in Communication Engineering

Semester	Summer semester
Allocation in the Curriculum	Master Curriculum, Information Technology Technical specialization "Embedded Communications and Signal Processing" Technical specialization "Mobile and Wireless Systems" Technical supplementary subject I and II
Recommended Semester	2nd
Teacher	Prof. Johannes Huber Embedded Systems and Signal Processing Group, Institute of Networked and Embedded Systems Email: Johannes.Huber@uni-klu.ac.at
Type of lecture and number of credits	VK 2 SWS, 4 ECTS
Description	The students acquire fundamental insights into information theoretical methods and their application to the assessment and optimization of digital transmission systems.
Topics	1. Basic terms and concepts in information theory 2. Channel coding 3. Source coding
Keywords	Information, entropy, channel capacity, channel coding, source coding
Prior knowledge	Basics in probability and random variables Basics in communications engineering
Learning objective	Basic concepts in information theory Channel coding Source coding
Recommended Literature	Lecture notes; broad literature (incl. textbooks) on information theory; e. g. Cover, Thomas: Elements of Information Theory, Wiley, 2006.
Language	English
Related Lectures	Embedded Communications, Mobile Communications
Recommended Lectures	Nachrichtentechnik (Communications Engineering), Stochastic 1 (Basics in Probability and Random Variables)

[700.680] Adaptive and Statistical Signal Processing

Semester	Summer semester
Allocation in the Curriculum	Master Curriculum, Information Technology Technical specialization "Embedded Communications and Signal Processing" Technical specialization "Mobile and Wireless Systems" Technical supplementary subject I and II
Recommended Semester	2nd
Teacher	Prof. Mario Huemer, Michael Lunglmayr Embedded Systems and Signal Processing Group, Institute of Networked and Embedded Systems Email: Mario.Huemer@aau.at, Michael.Lunglmayr@aau.at
Type of lecture and number of credits	VK 2 SWS, 4 ECTS
Description	Statistical and adaptive signal processing algorithms can be found at the heart of many electronic systems designed to transmit, receive, store or extract information. These systems include radar, sonar, speech, image analysis, biomedicine, communications, control... and many more. This lecture gives an introduction to the most prominent concepts. We will adopt the theory to a large number of applications from the engineering world (mainly from communications engineering and radar). Algorithms presented in the theory part will be simulated and tested in the MATLAB/SIMULINK environment.
Topics	1. Random Variables and Vectors (short review) 2. Classical Estimation in Signal Processing (Bounds, Linear Models, ML, BLUE, LS) 3. Bayesian Estimation in Signal Processing (MMSE, MAP, LMMSE) 4. Discrete Time Stochastic Processes 5. Wiener Filter and their Applications 6. Adaptive Filter (LMS, RLS algorithms) and their Applications
Keywords	Parameter estimation, optimum filters, adaptive filters, LS, MMSE, LMMSE
Prior knowledge	Basics in probability and random variables Basics in digital signal processing
Learning objective	Design of algorithms for optimum signal parameter estimation Design of Wiener and least squares filters Design of adaptive filters
Recommended Literature	S. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, Prentice Hall, Rhode Island, 1993. D.G. Manolakis, V.K. Ingle, S.M. Kogon, Statistical and Adaptive Signal Processing, Artech House, 2005.
Language	English
Related Lectures	Embedded Communications
Recommended Lectures	Digitale Signalverarbeitung (Digital Signal Processing) Stochastic 1 (Basics in Probability and Random Variables)

Courses and Labs [KU]

[700.601] Embedded Communications

Semester	Summer semester
Allocation in the Curriculum	Master Curriculum, Information Technology Technical specialization "Embedded Communications and Signal Processing" Technical specialization "Mobile and Wireless Systems" Technical supplementary subject I and II
Recommended Semester	2nd
Teacher	Dipl.-Ing. Alexander Onic Embedded Systems and Signal Processing Group, Institute of Networked and Embedded Systems Email: Alexander.Onic@uni-klu.ac.at
Type of lecture and number of credits	KU 2 SWS, 3 ECTS
Description	Various concepts of wireless communication systems and algorithms presented in the Embedded Communications lecture will be implemented, simulated and tested in MATLAB.
Topics	1. Linear modulation schemes 2. Pulse shaping 3. Matched filtering 4. Multipath propagation 5. Bit error simulations 6. OFDM (Orthogonal Frequency Division Multiplexing) 7. Bit loading for OFDM
Keywords	Mobile phone platforms, mobile radio channel, digital modulation, equalization, channel estimation, OFDM, RF transceivers
Prior knowledge	Knowledge of MATLAB is mandatory.
Learning objective	Blocks and tasks of mobile phone platforms Data transmission over frequency selective and/or time variant channels Equalization Single versus multi carrier transmission RF transceiver architectures
Recommended Literature	Lecture notes
Language	English
Related Lectures	Mobile Communications
Recommended Lectures	Communications Engineering (Nachrichtentechnik)

[700.651] Signal Processing Architectures Lab

Semester	Winter semester
Allocation in the Curriculum	Master Curriculum, Information Technology Technical specialization "Embedded Communications and Signal Processing" Technical supplementary subject I and II
Recommended Semester
Teacher	Dipl.Ing. Christian Lederer, Dr.-Ing. Michael Lunglmayr Embedded Systems and Signal Processing Group, Institute of Networked and Embedded Systems Email: Christian.Lederer@aau.at, Michael.Lunglmayr@aau.at
Type of lecture and number of credits	KU 4 SWS, 6 ECTS
Description	This lecture course deals with signal processing algorithms and with appropriate implementation architectures that focus on embedded applications. As a consequence low power consumption and low chip area is of great importance for the regarded architectures. The course starts with a repetition of important signal processing theory and algorithms (Sampling theorem, DFT, FFT, FIR and IIR-filters). In the following the focus lies on implementation oriented issues like fixed point effects and architecture options. We will start with FFT architectures followed by architectures and design issues for fixed point FIR- and IIR-filters. An old, but nowadays more and more important algorithm, the CORDIC algorithm, possible architectures and various applications of the CORDIC will be discussed in the next chapter. Next interpolation and decimation filters and possible low power implementation strategies are regarded. Another important issue in embedded applications is the digital signal generation. We will discuss different architectures for digital signal generators like sine wave generators. Finally we will regard architectures of modern DSPs and FPGAs for embedded applications. In parallel a practical course will be offered, where the effects and architectures are studied with the help of MATLAB/SIMULINK simulations. The course starts with an introduction in MATLAB/SIMULINK and will then focus on practical issues on the appropriate topics covered in the lecture course.
Topics	1. Characterization of digital signals 2. Sampling and reconstruction, sampling theorem 3. DFT and FFT: theory and implementation architectures Digital filter basics 4. Fixed point effects in digital filtering and efficient architectures 5. CORDIC-algorithm: theory, architectures and applications 6. Multirate signal processing (interpolation, decimation) : theory and low power / low area HW-architectures 7. Architectures for digital signal generators (DDS, Polynomial approximation, IIR-implementations, CORDIC) 8. Architectures for digital signal processors 9. FPGAs for signal processing 10. Applications
Keywords
Prior knowledge	Basic digital signal processing knowledge. Basic programming skills.
Learning objective	The SPA practical course is intended to consolidate fundamentals of the lecture (VK) and practice their use. Most exercises target on the use of Matlab, which is a numeric math software which is broadly used for simulation and verification. After simulation the signal processing algorithms will be implemented in VHDL on an FPGA board.
Recommended Literature	Lecture notes
Language	English
Related Lectures	Signal Processing Architectures
Recommended Lectures

Research Seminar and Project

[700.698] Research Seminar on Embedded Systems and Signal Processing

Semester	Winter semester
Allocation in the Curriculum	Master Curriculum, Information Technology Technical specialization " in Embedded Systems and Signal Processing"
Recommended Semester
Teacher	Prof. Mario Huemer Embedded Systems and Signal Processing Group, Institute of Networked and Embedded Systems Email: Mario.Huemer@aau.at
Type of lecture and number of credits	SE 2 SWS, 6 ECTS
Description	In this research seminar topical subjects in the area of Embedded Communications and Signal Processing will be regarded. Based on topical scientific publications on a particular subject participants develop a powerpoint presentation and a paper on the selected topic, and finally give a talk for their fellow students and their supervisor. NOTE: The seminar will be held in blocks. Topics will be presented and assigned in the first meeting. Also the semester's schedule will be presented in the first meeting.
Topics
Keywords
Prior knowledge
Learning objective	improve their knowledge in a particular field. learn to read and interpret scientific publications. prepare a presentation by themselves. practice to give a presentation and to discuss with an audience.
Recommended Literature	Scientific Publications
Language	English
Related Lectures
Recommended Lectures

[700.696] Research Project in Embedded Systems and Signal Processing

Semester	Winter semester
Allocation in the Curriculum	Master Curriculum, Information Technology Research Track
Recommended Semester
Teacher	Prof. Mario Huemer Embedded Systems and Signal Processing Group, Institute of Networked and Embedded Systems Email: Mario.Huemer@aau.at
Type of lecture and number of credits	KU 8 SWS, 12 ECTS
Description	Students work independently on a research oriented project.
Topics
Keywords
Prior knowledge
Learning objective
Recommended Literature
Language	English