Signal Processing Course
This course equips you with hands-on expertise in audio signal processing for electronics applications. Learn to clean speech audio, eliminate hum and noise, design filters and compressors, and create reproducible documentation using MATLAB or Python. Develop reliable processing workflows suitable for laboratory experiments, product development, and demonstrations.

4 to 360 hours of 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, and essential metrics like SNR. Apply real-world techniques such as 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: construct HPF, notch, and spectral denoisers using MATLAB or Python.
- Build speech cleanup chains: create efficient HPF-notch-NR-compression-EQ workflows rapidly.
- Control dynamics and EQ: apply gates, compressors, and de-essers for pristine speech clarity.
- Produce reproducible reports: document settings, plots, and outcomes 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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