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INFB  Digital Signal, Audio and Video Processing I CourseINF
Lecturers : Prof. Dr. Thomas Schrader   eMail
Term3
Course Classification : Informatics Bachelor, Core elective modules B-INF-ProfilCH4
Language : Englisch/Deutsch 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
• linear algebra
• procedural and object oriented 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 space, time, frequency and spectral domains,
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 and practice in MATLAB
• Signals and systems
• Tools in time and space domain
• Tools in spectral domain
• Use of MATLAB application to acquire and process signals
• Application examples
• Solving practical problems in theory and practice 

Literature : Smith S. W.: The Scientist and Engineers Guide to Digital Signal Processing, 1997-1998, www.DSPGuide.com
Werner M.: Digitale Signalverarbeitung mit MATLAB, Vieweg Verlag 2003.
Meffert B., Hochmuth O.: Werkzeuge der Signalverarbeitung, Pearson 2004.
Gonzales R.C., Woods R.E.: Digital Image Processing, Pearson 2003.
Gonzales R.C., Woods R.E.,Eddins S.L.: Digital Image Processing using MATLAB, Pearson 2004.
Abmayr: Einführung in die digitale Bildverarbeitung
Haberäcker: Masterkurs Computergrafik und Bildverarbeitung Schweizer W.: MATLAB kompakt, Oldenbourg 2005. 


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