In the course Signal Analysis, you develop the mathematical and practical foundation needed to analyze and model signals and systems at the core of modern engineering.
The course provides an in-depth understanding of linear time-invariant (LTI) systems and the mathematical theory underlying signal processing. Core topics include Fourier series, the Fourier transform (continuous- and discrete-time), sampling and reconstruction, the Z-transform, and system analysis using poles and zeros.
You will learn how to compute and interpret the frequency content of signals, analyze how LTI systems affect inputs in both time and frequency domains, and determine when sampling can be performed without loss of information. Through mandatory computer exercises in MATLAB, you gain hands-on experience implementing and simulating systems, connecting theory to practical applications.
The course forms a fundamental basis for further studies in signal processing, communications, control systems, and computer engineering.
