13E034AOS - Adaprive Signal Processing
|Adaprive Signal Processing
|Electrical Engineering and Computing
|Type of study
|bachelor academic studies
|Lecturer (for classes)
|Lecturer/Associate (for practice)
|Lecturer/Associate (for OTC)
|Signal Processing 1
|Objective of the course is to present adaptive signal processing techniques. The focus is usage of adaptive signal processing concepts in telecommunications and audio systems.
|Students will learn techniques of adaptive signal processing suitable for solving of practical problems. They will be taught adaptive filter structures and related adaptive algorithms. They will be trained to design a solution for practical problems related to telecommunications and processing of audio signals. They will be trained to use MATLAB (MATLAB clone) in simulation of adaptive systems.
|Contents of lectures
|Discrete stochastic processing and models, Wiener filters, linear prediction, method of steepest descent, least - mean - square adaptive filters, Kalman filters, adaptive filters using infinite - duration impulse response structure, adaptive filtering application, adaptive systems based on sub - band decomposition, blind equalisation.
|Contents of exercises
|Algorithms analysis and synthesis in MATLAB (MATLAB clone). Programing of DSP processor (evaluation board).
|Number of hours per week during the semester/trimester/year
|Study and Research
|Methods of teaching
|lectures, lectures, exercises, laboratory exercises, homeworks
|Knowledge score (maximum points 100)
|Activites during lectures