Type of studies | Title |
---|---|
Doctoral Academic Studies | Geodesy and Geoinformatics (Year: 1, Semester: Summer) |
Category | Scientific-professional |
Scientific or art field |
|
ECTS | 10 |
The aim of the course is for students to master advanced techniques for classification and estimation of signals. This implies that they will be able to perform signal characterization in terms of modeling and stochastic modeling of signals in practical problems, which has its cause in nonlinear signal dynamics or measuring noise.
Expected course outcome are the skills that students will acquire in terms of detection, modeling, parameter estimation and signal classification from different engineering fields of practice: in the field of video signals, audio signals, electric signals obtained from measuring devices and systems, etc.
Importance of signals in management. Architecture of the DSP TMS320C2000 platform optimized for the management systems. Frequency spectrum and frequency analysis in management. Application of DFT and FFT algorithms and digital filters in management. Implementation of linear regulators with the square optimization criterion, adaptive management algorithms and fuzzy management. DSP algorithms for sensor and non-sensor engine management (Luenberger Observer, Kalman Observer).
Lectures. Project. Consultations. Study and research.
Authors | Title | Year | Publisher | Language |
---|
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Project | Yes | Yes | 30.00 |
Theoretical part of the exam | No | Yes | 70.00 |
Full Professor
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© 2024. Faculty of Technical Sciences.