Signal Processing
PDF Course Catalog Deutsche Version: SIG
Version: 4 | Last Change: 20.05.2021 16:12 | Draft: 0 | Status: vom verantwortlichen Dozent freigegeben
Long name | Signal Processing |
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Approving CModule | SIG_BaTIN |
Responsible |
Prof. Dr. Rainer Bartz
Professor Fakultät IME |
Valid from | winter semester 2021/22 |
Level | Bachelor |
Semester in the year | winter semester |
Duration | Semester |
Hours in self-study | 78 |
ECTS | 5 |
Professors |
Prof. Dr. Rainer Bartz
Professor Fakultät IME |
Requirements | elementary functions (polynomial, rational, trigonometric, exponential functions); sequences and series, limits, l'Hospital; polynomial division, partial fraction expansion; systems of linear equations; complex calculus, complex-valued functions, polar and cartesian representation, Euler's formulas; basic programming skills (C preferred); constants, variables, functions, arrays; data types, loops, if..else; structures, arrays of structures; bitwise operators; dada type conversion, registers, number representations; realtime processing; compiler, linker, debugger |
Language | German |
Separate final exam | Yes |
Carlson, G. E.: Signal and Linear System Analysis, John Wiley & Sons, Inc. |
Details | written exam |
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Minimum standard | 50% |
Exam Type | EN Klausur |
Goal type | Description |
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Knowledge | basic concepts (signal, system, characteristics) |
Knowledge | signals: discrete time reference signals (impulse, step, ...) and their characteristics Fourier series of discrete-time signals z-transform of discrete-time signals |
Knowledge | systems; especially discrete-time (DT) LTI sytems signal transmission difference equations and block diagrams DT convolution recursive numerical approach z-transform of a delay element the z-transfer function responses on reference signals general system responses pole-zero plot and stability canonical system structures: DF1, DF2 FIR and IIR filter systems; comparison |
Skills | students acquire fundamental knowledge on theory and applications of discrete-time signals and systems |
Skills | they understand the behavior of typical systems |
Skills | they can apply algorithms for convolution, z-transform, and others |
Skills | they are able to understand a system model, and to analyze it in time and frequency domain |
Skills | they can apply system theory to real-world systems |
Skills | students can implement a discrete-time system based on given requirements |
Type | Attendance (h/Wk.) |
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Lecture | 2 |
Exercises (whole course) | 1 |
Exercises (shared course) | 0 |
Tutorial (voluntary) | 0 |
Requirements are documented by MA1, PI1, MA2, GSP. |
Accompanying material |
compendium with all relevant contents is available (English language) some additional presentation slides electronically available, exercises and solutions electronically available (German language) |
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Separate exam | No |
Goal type | Description |
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Knowledge | sampling input and output signals of a continuous-time (CT) system |
Knowledge | basic algorithms of signal processing |
Knowledge | software implementation of a DT system from a requirements specification |
Skills | students can use state of the art tools for system simulation, and implementation |
Skills | they understand the relationship between CT and DT systems and can explain the most important effects |
Skills | students are able to solve problems in small teams |
Skills | they can implement basic algorithms for signal processing - based on Matlab scripts - on a DSP platform (Texas Instruments C6713 with Code Composer Studio) |
Type | Attendance (h/Wk.) |
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Practical training | 1 |
Tutorial (voluntary) | 0 |
Requirements are documented by MA1, PI1, MA2, GSP. |
Accompanying material | introduction to the lab components electronically available, specification of the lab tasks electronically available, documentation on the tools and software environments electronically available |
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Separate exam | No |
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