Subject: Subject Sylbus: Physiological Signal Analysis - 338210

Physiological Signal Analysis - 338210
Will not be given the year
Credit
Points
2.0
 
  Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
2        
Possibility to guided reading

Determination of the grade according to progress during the semester and a final examination.


Prerequisites: Random Signals 044202
or Introduction to Biological Signals and Systems 046326
 
Overlapping Courses: Physiological Signal Analysis 048820
Analysis of Biological Signals 338208


1. Characteristics of Physiological Signals, Stationarity, Trends, Etc.
2. Preprocessing Methods.
3. Expansion to Eigen-Functions (the K-L Transform).
4. Estimators of Correlation and Power Spectrum, Their Use in Characterization of Signals.
5. Linear Prediction: Modeling the Signal and Spectral Characterization.
6. Point Processes: Statistics of Events and Intervals.
7. Non-Linear Processing and Characterization: Wiener'S Kernels.
8. Adaptive Filtration.
9. Classification Methods.


Created in 17/10/2021 Time 18:25:29