Résumé de section

  • Module aim
    The aim of this course is to provide tools for analyzing the properties of a signal and examining what happens to it as it passes through a system.

    Prerequisites
    Prior knowledge of mathematical concepts such as integrals, derivatives, and complex numbers is required.

    Indicative Module Content

        •       - Introduction to deterministic signals
        •      - Sampling of analog signals
        •      - Discrete signals
        •      - Random processes
        •      - Signals and systems
        •      - Synthesis of digital filters
        •      - Introduction to spectral analysis and estimation
    • Prerequisite tests play a crucial role in signal processing education by assessing essential knowledge and competencies. They help identify and address early weaknesses, ensuring students have a solid foundation to comprehend advanced topics. Familiarity with mathematical concepts like integrals, derivatives, and complex numbers is vital for mastering signal processing principles and applications.