SIG - 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
Approving CModule SIG_BaTIN
Prof. Dr. Rainer Bartz
Professor Fakultät IME
Level Bachelor
Semester in the year winter semester
Duration Semester
Hours in self-study 78
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.
Final exam
written exam
Minimum standard
Exam Type
written exam

Learning goals

basic concepts (signal, system, characteristics)

discrete time reference signals (impulse, step, ...) and their characteristics
Fourier series of discrete-time signals
z-transform of discrete-time signals
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

students acquire fundamental knowledge on theory and applications of discrete-time signals and systems

they understand the behavior of typical systems

they can apply algorithms for convolution, z-transform, and others
they are able to understand a system model, and to analyze it in time and frequency domain
they can apply system theory to real-world systems

students can implement a discrete-time system based on given requirements
Expenditure classroom teaching
Type Attendance (h/Wk.)
Lecture 2
Exercises (whole course) 1
Exercises (shared course) 0
Tutorial (voluntary) 0
Special literature
Special requirements
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)
Separate exam

Learning goals

sampling input and output signals of a continuous-time (CT) system
basic algorithms of signal processing

software implementation of a DT system from a requirements specification

students can use state of the art tools for system simulation, and implementation
they understand the relationship between CT and DT systems and can explain the most important effects

students are able to solve problems in small teams

they can implement basic algorithms for signal processing
- based on Matlab scripts
- on a DSP platform (Texas Instruments C6713 with Code Composer Studio)
Expenditure classroom teaching
Type Attendance (h/Wk.)
Practical training 1
Tutorial (voluntary) 0
Special literature
Special requirements
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
Separate exam

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