Signals and Systems Course
This course equips learners with essential skills in signals and systems, focusing on practical applications from continuous-time modeling to digital signal processing for vibration analysis and system diagnostics.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Signals and Systems Course provides a practical route 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 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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