Course Analog Signals and Systems
Responsible: Prof. Dr. Rainer Bartz
Course
Meets requirements of following modules(MID)
Course Organization
Version 

created 
20130620 
VID 
4 
valid from 
WS 2012/13 
valid to 



Course identifiers 

Long name 
Analog Signals and Systems 
CID 
F07_ASS 
CEID (exam identifier) 


Contact hours per week (SWS) 

Lecture 
2 
Exercise (unsplit) 

Exercise (split) 
2 
Lab 

Project 

Seminar 

Tutorial(voluntary) 
1 


Total contact hours 

Lecture 
30 
Exercise (unsplit) 

Exercise (split) 
30 
Lab 

Project 

Seminar 

Tutorial (voluntary) 
15 


Max. capacity 

Exercise (unsplit) 

Exercise (split) 
40 
Lab 

Project 

Seminar 


Total effort (hours): 150
Instruction language
Study Level
Prerequisites
 all mathematical foundation courses of the program
 trigonometric, exponential and logarithmic functions
 limits, infinite series, partial fraction expansion
 differential and integral calculus
 fundamentals of electrical engineering
 RLCcircuits; complex numbers and functions
Textbooks, Recommended Reading
 Carlson, G. E.: Signal and Linear System Analysis, John Wiley & Sons, Inc.
 Girod, B.: Einführung in die Systemtheorie, Teubner Verlag
 von Grünigen, D. Ch.: Digitale Signalverarbeitung, Fachbuchverlag Leipzig
 Hsu, H.P.: Signals and Systems, Schaums Outlines
 Meyer, M.: Signalverarbeitung, Verlag Vieweg
 Ohm, J.R.; Lüke, H. D.: Signalübertragung, SpringerVerlag
 Oppenheim, A.V.; Wilsky, A.S.:Signals & Systems, Prentice Hall
 Werner, M.: Signale und Systeme, Verlag Vieweg
Instructors
 Prof. Dr. Rainer Bartz
 Prof. Dr. Harald EldersBoll
 Prof. Dr. Andreas Lohner
Supporting Scientific Staff
 Dipl.Ing. Martin Seckler
 Dipl.Ing. Norbert Kellersohn
Transcipt Entry
Analog Signals and Systems
Assessment
Total effort [hours] 

wE 
10 
Frequency: 23/year
Course components
Lecture/Exercise
Objectives
Contents
 basic concepts
 signal and system; examples
 classification of signals
 common signals: cos, exp, step, ramp, impulse (Dirac)
 characteristics of signals: symmetry, energy, power, RMS
 oddeven decomposition of signals
 basic operations with signals: timescaling, timereversal, timeshift, and their combinations
 characteristics of systems: memory, causality, stability
 block diagrams and their components
 signals
 Fourier series
 Fourier transform (1D) of CT signals
 definition of the Fourier transform
 Fourier transform pairs and theorems; examples
 Parseval's theorem
 autocorrelation function and energy density spectrum
 crosscorrelation function
 Laplace transform
 doublesided Laplace transform
 the complex splane
 singlesided Laplace transform
 Laplace transform pairs and theorems; examples
 initial and final value theorem
 inverse transform using partial fraction expansion
 relationship to Fourier transform
 sampling
 Fourier transform of impulse train
 ideal sampling
 spectrum of sampled signals
 sampling theorem
 aliasing, examples
 systems; signal transmission
 continuous time (CT) LTI systems
 linear, and timeinvariant (LTI) systems
 working with block diagrams
 impulse input and impulse response
 step input and step response
 convolution integral and its evaluation
 determining characteristics of LTI systems: causality, stability
 Bodeplot of the frequency response
 7 building blocks to construct a Bodeplot
 the transfer function
 polezero plot and stability
 design of CT filter systems
 distortionless transmission
 basic filter types: low pass, high pass, band pass, band stop filter
Acquired Skills
 students acquire fundamental knowledge on theory and applications of continuoustime signals and systems
 they understand the behavior of typical systems
 they can apply important algorithms for convolution, Fourier, and Laplacetransform
 they are able to model a system and to analyze it in time and frequency domain
 they can apply system theory to realworld systems (like electrical circuits)
Additional Component Assessment
Type 

fAP 
(optional) assessed problem solving 
fSP 
supervised/assisted problem solving 
Contribution to course grade 

fAP 
(if offered) rated: 20% 
fSP 
not rated 
Frequency: 1/year
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