Signals and Systems Course
Master signals and systems for real-world engineering: model vibration signals, design analog and digital filters, avoid aliasing, and interpret spectra so you can build reliable sensing, monitoring, and control solutions with confidence.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This Signals and Systems Course gives you a practical path from continuous-time vibration modeling to clean, usable digital data. Learn to model sinusoids and noise, design analog bandpass filters, apply sampling theory, and prevent aliasing. Then implement digital LTI filters, validate behavior 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.
- Analog 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 modeling: 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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