S5 - TP Signal and local network

This module provides a comprehensive foundation in signal processing, bridging continuous-time theory and digital applications. It begins with essential mathematical tools from signal theory, such as Fourier analysis and convolution, then introduces random processes to model unpredictable signals and noise. A detailed study of analog filters covers their analysis, stability, and various classic types. The pivotal sampling chapter explains the bridge to the digital domain, focusing on the conditions for lossless conversion and quantization effects. Finally, the course culminates with the core mathematical framework for digital processing, including Discrete Fourier Transforms and the Z-transform, laying the groundwork for digital filter analysis and design.