Long name	Signal Processing
Approving CModule	SIG_BaTIN
Responsible	Prof. Dr. Rainer Bartz Professor Fakultät IME
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

basic concepts (signal, system, characteristics)

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

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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

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they understand the behavior of typical systems

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they can apply algorithms for convolution, z-transform, and others

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they are able to understand a system model, and to analyze it in time and frequency domain

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they can apply system theory to real-world systems

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students can implement a discrete-time system based on given requirements

Type	Attendance (h/Wk.)
Lecture	2
Exercises (whole course)	1
Exercises (shared course)	0
Tutorial (voluntary)	0

none

sampling input and output signals of a continuous-time (CT) system

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basic algorithms of signal processing

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software implementation of a DT system from a requirements specification

students can use state of the art tools for system simulation, and implementation

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they understand the relationship between CT and DT systems and can explain the most important effects

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students are able to solve problems in small teams

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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.)
Practical training	1
Tutorial (voluntary)	0

none