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Signal Processing
Learn to analyse, manipulate, and interpret signals in engineering systems.
Topics
Exam‑style questions with instant feedback.
Section 1: Signals Basics
Section 2: Systems Fundamentals
Section 3: Fourier Series
Section 4: Continuous Fourier Transform
Section 5: Laplace Transform
Section 6: Sampling Theory
Section 7: Z-Transform
Section 8: Discrete Fourier Transform
Section 9: Filter Design
Section 10: Random Signals
What you’ll achieve
Understand continuous and discrete signal representations.
Apply Fourier analysis and transform methods to signals.
Design and implement filters for real-world signal applications.
Explore digital signal processing in communications, audio, and imaging.
Develop analytical and problem-solving skills for engineering signal applications.
Course overview
Everything you need to excel in Signal Processing
Signal Processing introduces the principles and techniques used to analyse continuous and discrete signals. Students study Fourier series and transforms, filtering, sampling, and digital signal processing (DSP) methods. The course emphasises applications in communications, audio, image processing, and control systems. By integrating theory with practical exercises, learners gain the ability to extract meaningful information from signals, design filters, and implement DSP algorithms, providing essential skills for electrical, computer, and telecommunications engineering.
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