Signal Processing Course
Acquire expertise in practical audio signal processing for electronics: purify speech audio, eliminate hum and noise, adjust filters and compressors, and produce clear documentation using MATLAB or Python. Construct dependable, repeatable processing chains suitable for laboratory work, product development, and demonstrations. This course equips participants with essential techniques for real-world applications in signal enhancement and analysis.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This concise, hands-on Signal Processing Course imparts the ability to examine, purify, and enhance speech audio effectively. Participants will grasp fundamental digital audio concepts, analyse waveforms and spectrograms, and evaluate critical metrics such as signal-to-noise ratio. Through practical exercises, apply filtering, spectral subtraction, compression, and de-essing techniques using MATLAB or Python, culminating in comprehensive, reproducible reports and structured listening assessments.
Elevify advantages
Develop skills
- Mastery in audio inspection: swiftly identify noise, hum, and artefacts in professional waveforms.
- Practical filter design: construct high-pass filters, notch filters, and spectral denoisers using MATLAB or Python.
- Speech cleanup workflow: develop efficient high-pass filter–notch–noise reduction–compression–equalisation chains.
- Control of dynamics and equalisation: apply gates, compressors, and de-essers for pristine speech.
- Reproducible reporting: record 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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