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INFB  Digital Signal, Audio and Video Processing I CourseINF
Lecturers : Prof. Dr. sc. techn. Harald Loose   eMail | Homepage
Term3
Course Classification : Informatics Bachelor, Core elective modules B-INF-ProfilCH4
Language : english Type L E
Type of examination : PL  Credits
Method of evaluation : written examination 120 min 
Requirements :  
Cross References :  
Previous knowledges : Active knowledge of
• analysis and numerical mathematics
• procedural programming
• algorithms and data structures 
Aids and special features : Mode of assessment
Successful completion of practical exercises 
Teaching aims : Students will recognize signals in their typical manifestations know and be able to record, filter and quantize signals,
understand the differences between location, time, frequency and spectral ranges,
know standard algorithms for typical problems in the areas of: signals in location and time ranges, signals in spectral ranges,
know and be able to apply the universal tool, MATLAB, using examples from signal processing. 
Contents :

• Introduction to MATLAB, Simulink and selected toolboxes, for example data acquisition and data processing
• Signals and systems
• Location and time range tools
• Spectral range tools
• Digital filters and transformations
• Use of MATLAB application to record and process signals
• Application examples
• Solving practical problems in theory and practice 

Literature : Werner M.: Digitale Signalverarbeitung mit MATLAB, Vieweg Verlag 2003.
Meffert B., Hochmuth O.: Werkzeuge der Signalverarbeitung, Pearson 2004.
Schweizer W.: MATLAB kompakt, Oldenbourg 2005.
Angermann A. u.a.: Matlab-Simulink-Stateflow, Oldenbourg 2005.
Grόningen D. von: Digitale Signalverarbeitung, Fachbuchverlag Leipzig 2004. 


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