These two courses combine lectures and problem classes in nonlinear signal processing theory and applications. The theoretical part lays foundations in the area of memoryless nonlinearities (limiters/quantizers/classifiers), nonlinear dynamical systems (nonlinear filters/oscillators/chaos theory), nonlinear statistics (higherorder statistics and information theory), as well as parallel distributed processing (neural networks). The application part is devoted to the modeling of natural signals with nonlinear systems, algorithms for time series analysis and signal synthesis, and nonlinear devices in digital communications systems.
As a prerequisite, students should have prior knowledge in digital signal processing theory and, preferentially, in adaptive systems.
Day  Date  Start  End  Remark 
Thu  05.03.2015  09:15  10:45  
Thu  12.03.2015  09:15  10:45  
Thu  19.03.2015  09:15  10:45  
Thu  26.03.2015  09:15  10:45  
Thu  23.04.2015  09:15  10:45  
Thu  30.04.2015  09:15  10:45  
Thu  07.05.2015  09:15  10:45  
Thu  21.05.2015  09:15  10:45  
Thu  28.05.2015  09:15  10:45  
cancelled  
Thu  18.06.2015  09:15  10:45  
Thu  25.06.2015  09:15  10:45  
Thu  02.07.2015  09:15  10:45 
For downloading the lecture slides you need a password. If you have been registered for the course, you should have been received it.
Lecture  Slides 
Course Organization  
Introduction  
Memoryless Systems: System Representation 

Memoryless Systems: Signal Characterization 

Memoryless Systems: 
1_3_Memoryless_Systems_Signal_Processing.pdf 1_3_Memoryless_Systems_Signal_Processing.pptx 
Fading Memory Systems: System Representation 
2_1_Fading_Memory_Systems_System_Representation.pdf 
Fading Memory Systems: Signal Characterization 
2_2_Fading_Memory_Systems_Signal_Characterization.pdf 
Fading Memory Systems: Signal Processing 
2_3_Fading_Memory_Systems_Signal_Processing.pptx 
NonFading Memory Systems: System Representation 

NonFading Memory Systems: System Representation 

NonFading Memory Systems: Signal Processing 
Please consult the TUGonline systems for exam dates.
Grading is based on four homework assignments, one for each major block. You are strongly encouraged to work in pairs! The due date for all four homeworks is July 03, 2015. Please submit your homeworks at our mailbox in Inffeldgasse 16c / ground floor. You can find a map HERE. Please also submit your code files to christian.knoll@tugraz.at.
Please use the newsgroup provided by the ZID at tugraz.lv.nlsignalprocessing for discussion of the assignments.
What do you have to submit? A written report (one per group, a group consists of at most 2 students) containing your results, figures and the corresponding discussions for all problems marked with a house icon. For analytic problems you can also hand in handwritten sheets, as long as they are readable. Make sure your report contains enough information such that your results are traceable. Mail your Matlabfiles to christian.knoll<at>tugraz.at. Take a look at and apply our homework guidelines to avoid unecessary point penalties.
Important: Please read and apply our SPSC homework guidelines.
Lesson  Handout  Slides  Files  Sample Solutions 
1  Median Filtering  handout1  slides1  matlab1  
2  Static Nonlinearities  slides2  matlab2  solutions2.1_and_2.4  
3  Fading Memory Nonlinearities  handout3  slides3  matlab3  samplesolutions 
4  Infinite Memory Nonlinearities 
