Signal Processing Course
This course equips you with practical signal processing expertise for audio in electronics. Learn to clean speech signals, eliminate hum and noise, design filters and compressors, and produce clear documentation using MATLAB or Python. Develop reliable, reproducible processing workflows suitable for labs, product development, and demonstrations.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
Gain essential skills in signal processing to confidently inspect, clean, and enhance speech audio. Master digital audio fundamentals, waveform and spectrogram analysis, and metrics like SNR. Apply practical techniques including filtering, spectral subtraction, compression, and de-essing with MATLAB or Python, while creating reproducible reports and structured listening tests.
Elevify advantages
Develop skills
- Master audio inspection to quickly identify noise, hum, and artifacts in professional waveforms.
- Design practical filters like HPF, notch, and spectral denoisers using MATLAB or Python.
- Build efficient speech cleanup workflows combining HPF, notch, noise reduction, compression, and EQ.
- Control dynamics and EQ with gates, compressors, and de-essers for pristine speech clarity.
- Create reproducible reports logging settings, plots, and results for dependable signal analysis.
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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