Certificate of Achievement
has completed the following course:
Foundations of Signals and Systems: Analyse and Process Digital Signals
The course explored the foundations of signals and systems. It covered signal properties, system behavior, and transformation techniques like Fourier and Laplace. Hands-on MATLAB labs provided practical experience in signal visualization and processing. Students developed skills in signal analysis, convolution techniques, and understanding digital representation impacts. The course established a strong foundation for success in technical fields
5 weeks, 6 hours per week
Tomaso Erseghe
Professor on Network Science, Social Network Analytics, and Signals and Systems
University of Padova
Transcript
Learning outcomes
- Apply mathematical principles to analyze continuous and discrete signals.
- Investigate the properties of linear time-invariant systems.
- Experiment Fourier and Laplace transforms for signal analysis.
- Implement signal processing techniques using MATLAB.
- Explain the effects of sampling and filtering on digital signals.
Syllabus
The course will address the following key topics: Fundamental mathematical analysis of signals, including energy, power, and periodicity. Introduction to system properties such as linearity, stability, and time invariance. Techniques of signal transformation, including Fourier and Laplace transforms. Convolution and its applications in filtering and signal processing. Discrete-time signals and systems, including sampling and digital signal representation. Practical labs using MATLAB for signal visualization and processing.
Issued on 16th January 2026
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This certificate represents proof of learning. It is not a formal qualification, degree, or part of a degree.
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