Signal ProcessingCourse code: 317111 | 8 ECTS credits
Basic information
Level of Studies:Master applied studies
Year of Study:1
Semester:2
Requirements:
Goal:Signal processing introduction. Principles of signal processing and practical applications.
Outcome:Students can understand the principles and capabilities of signal processing and its visualization through practical examples and application possibilities.
Contents of the course
Theoretical instruction:
Introduction.
Signal processing history. Application examples.
Signal visualization (Matlab, Python, Excel).
Discrete complex exponential signal. Music signal synthesis.
Fourier analysis. Discrete-time Fourier transforms (DTFT). Fast Fourier transforms. Application in spectral analysis and oscilloscopes.
Linear filters. Convolution. Ideal and real filters. Filter design. Application of convolution in GPS systems.
Interpolation and sampling. Continuous time signals. Sampling theorem. Processing continuous signals at discrete time. Simulink examples.
Stochastic signal processing. Quantisation. Analog-to-digital converter (ADC) and digital-to-analog converter (DAC).
Statistical signal processing. Application in communication systems.