Signal Processing Course
Master practical audio signal processing for electronics applications: clean speech signals, eliminate hum and noise, fine-tune filters and compressors, and document outcomes clearly using MATLAB or Python. Develop reliable, reproducible processing workflows suited for laboratory work, product development, and demonstrations.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
Gain practical skills to confidently inspect, clean, and optimise speech audio. Master digital audio fundamentals, waveform and spectrogram analysis, plus key metrics such as SNR. Apply real-world techniques like filtering, spectral subtraction, compression, and de-essing with MATLAB or Python, while producing clear, reproducible reports and structured listening tests.
Elevify advantages
Develop skills
- Master audio inspection: swiftly identify noise, hum, and artefacts in professional waveforms.
- Design practical filters: create HPF, notch, and spectral denoisers using MATLAB or Python.
- Build speech cleanup workflows: assemble efficient HPF-notch-NR-compression-EQ chains quickly.
- Control dynamics and EQ: apply gates, compressors, and de-essers for pristine speech clarity.
- Produce reproducible reports: record 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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