Signals and Systems Course
This course bridges continuous-time signal modeling to digital processing for vibration analysis, covering filtering, sampling, and validation techniques in MATLAB or Python.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Signals and Systems Course provides a practical pathway from continuous-time vibration modelling to clean, usable digital data. Learn to model sinusoids and noise, design analogue bandpass filters, apply sampling theory, and prevent aliasing. Then implement digital LTI filters, validate behaviour in MATLAB or Python, interpret spectra, and extract reliable metrics for accurate system analysis and diagnostics.
Elevify advantages
Develop skills
- Sampling and aliasing control: set safe Fs, prevent spectral folding in practice.
- Analogue bandpass design: choose H1 specs for clean motor vibration measurements.
- Digital filter tuning: configure FIR/IIR H2 for robust noise reduction and stability.
- Vibration signal modelling: build sinusoid-plus-noise x(t) with realistic parameters.
- System-level validation: simulate full chain in MATLAB/Python and verify metrics.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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