Signal Processing Course
This course equips you with practical expertise in audio signal processing for electronics applications. Learn to clean speech signals, eliminate hum and noise, design effective filters and compressors, and document outcomes clearly using MATLAB or Python. Develop reliable, reproducible processing workflows ideal for laboratory work, product development, and demonstrations.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain essential skills to confidently inspect, clean, and optimise speech audio. Master digital audio fundamentals, waveform and spectrogram analysis, and vital metrics such as SNR. Apply practical techniques including 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 rapidly.
- 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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