Teaching / Courses taught at Jacobs University

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    vorlesungen_7Instructor: Prof. Dr.-Ing. Werner Henkel

    The course is actually a combination of standard DSP contents and applications in digital communications. The standard DSP contents are linear transforms, Sampling theorem, quantization, networks with delay elements difference equations, filter structures (implementations in C/Matlab), z-transform, frequency-domain characterization (Parseval), DFT, window functions, frequency response of frequency-selective filters, fast convolution (overlap save, overlap add), power spectral density, periodogram, design of poles and zeros, least squares identification and prediction (LPC, Toeplitz algorithms), design of digital filters (short introduction to wave digital filters), sampling rate conversion, subband coding, FFT algorithms, quadrature mirror filters, filter banks, two-dimensional transforms, discrete cosine transform, (wavelets) and an introduction to video coding.

    The communications part is essentially an introduction to digital communications with channel properties, passband and complex baseband description, PAM, QAM, matched filter, whitened matched filter, equalizer structures and its adaptation with LMS and ZF. An introduction to multicarrier transmission (OFDM, DMT) and the relation to filter banks will be given, too. OFDM and DMT are the transmission methods used in every current wireless and wireline system (LTE, DSL, DVB-t,…).

    Overall, the course provides a complete coverage of digital signal processing and the essential basics of digital communications. The course is hence mandatory for ECE and a must for other students with a focus towards signal processing, video and audio, and communications.

    Lecture at Jacobs University.  [Course Page]

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    Claude ShannonInstructor: Prof. Dr.-Ing. Werner Henkel

    Information theory serves as the most important foundation for communication systems. The course provides an analytical framework for modeling and evaluating point-to-point and multi-point communication. After a short rehearsal of probability and random variables and some excursion to random number generation, the key concept of information content of a signal source and information capacity of a transmission medium are precisely defined, and their relationships to data compression algorithms and error control codes are examined in detail. The course aims to install an appreciation for the fundamental capabilities and limitations of information transmission schemes and to provide the mathematical tools for applying these ideas to a broad class of communications systems.

    Aside from source and channel aspects, an introduction to security is given, including public-key cryptography. Information theory is standard in every communications-oriented Bachelor’s program.

    Lecture at Jacobs University.  [Course Page]

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    Instructor: Prof. Dr.-Ing. Werner Henkel

    Error correcting codes (convolutional codes, block codes, Turbo codes, LDPC codes, etc.) play an essential role in modern digital high data-rate transmission systems. They are part of almost every modern communication and storage/recording device, like your CD player, your DSL home Internet access, and your mobile phone, to name just a few.

    This course will focus on theory, construction, and algorithms for error correcting codes, and will highlight the application in communication systems. For modern communications, coding knowledge is a must.

    This course is also a valid choice in the CSE graduate program.

    Lecture at Jacobs University.  [Course Page]

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    Street-copper-bundleInstructor: Prof. Dr.-Ing. Werner Henkel

    Starting from basic knowledge in Digital Communications, this course will discuss Digital Subscriber Line transmission in quite some detail, still providing insights into counterpart wireless transmission schemes, such as WLAN and DVB-T. In order to obtain the basic foundation for digital communications, the course discusses matched filter, whitened matched filter, equalizer structures (linear, DFE, Tomlinson-Harashima) and equalizer adaptation with zero forcing and MMSE/LMS. We will apply these concepts to baseband and single-carrier transmission. Multicarrier transmission (OFDM/DMT) as the most current technology in wireline and wireless transmission will be treated thoroughly.

    The wireline channel will be highlighted. Starting from channel properties of twisted pair and coaxial cables, all current wireline transmission methods will be studied in detail. Although the focus will be on twisted-pair transmission, cable modems (including hybrid fiber-coax) will be touched, as well. In xDSL and cable modems, we find almost every transmission method, like PAM, QAM, CAP, and multicarrier.

    Lecture at Jacobs University.  [Course Page]

     


  • sincInstructor: Prof. Dr.-Ing. Werner Henkel

     

    This course offers a comprehensive exploration of signals and systems which is the key knowledge for almost all electrical engineering tasks. Continuous-time and discrete-time concepts/methods are developed in parallel, highlighting their similarities and differences. Introductory treatments of the applications of these basic methods in such areas as filtering, communication, sampling, discrete-time processing of continuous-time signals, and feedback, will be discussed.

    To this end, all the major linear transforms are introduced, like Fourier series, Fourier transform, Laplace transform, unilateral Laplace transform, Discrete Fourier Transform, diagonalization of a convolutional Toeplitz matrix (eigenvalues/eigenvectors of a Toeplitz matrix), and z-transform. Additionally, Hilbert transform, delay and group delay, stability and minimum phase were discussed. Furthermore, AM and FM modulation is shortly introduced.

     

    Lecture at Jacobs University. [Campusnet link] [Course page]

  • AM_P3_3stOrder

    Instructors: Uwe Pagel, Prof. Dr.-Ing. Werner Henkel

    The concepts of signal and systems will be applied throughout the lab course by experimental and simulation means. The lab course is offered in conjunction with the course on Signals and Systems. The concepts of signals and systems are generic and applications can be found in several areas like communications, speech and image processing, or process control. The goal of the lab is to apply these concepts through a combined approach of experiments and simulations. The experiments will provide the students with practical experience and allow the students to relate the experiments to signals and systems theory. Topics: Step response of RLC circuits, filters (RLC circuits), Fourier transform and Fourier series, sampling, digital filters, modulation, control experiment.

     

    Lecture at Jacobs University. [Lab page]

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    lab3_2

    Instructor: Prof. Dr.-Ing. Werner Henkel

    Remote control of measurement equipment with Matlab and LabVIEW.

     

     

     

     

    Lecture at Jacobs University.  [Course Page]

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    Course instructor: Prof. Dr.-Ing. Werner Henkel, Dr. Khodr Saaifan

    Students who complete this course will master the methods of analyzing linear electric circuits through the use of the basic laws of electrical engineering starting with Kirchhoff’s laws and ideal circuit element models. Methods of analysis of circuits taught include node voltage and mesh current methods, superposition, and Thevenin/Norton transformations. These methods are first developed with resistive circuits and applied under DC conditions. Transients in first-order circuits are analyzed through the use of differential equations. After a description of the representation of sinusoidal waveforms by phasors, the methods developed earlier are used to study and analyze AC circuits. The theory of the electrical transformer is explained, and the next objective is to apply the laws of circuits to electric power systems. The concept of phasor power and its constituents, and the importance of power factor are taught.

     

    Lab instructor:  Oana Graur

     

    By the end of the lab course students should have hands-on experience in designing basic circuits containing components such as resistors, capacitors, operational amplifiers, AC to DC converters, and filters. Along with using lab testing equipment such as multimeters (DMMs), function generators, dual-channel oscilloscopes, students will also be introduced to the LTSpice software simulation platform.

     

    This course and the associated lab are for Lafayette students only.

    Lecture at Jacobs University.  [Course page]