Learn to analyse, manipulate, and interpret signals in engineering systems.
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Understand continuous and discrete signal representations.
Apply Fourier analysis and transform methods to signals.
Design and implement filters for real-world signal applications.

Course Overview
Course Overview: 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.
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.
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Understand continuous and discrete signal representations.

Apply Fourier analysis and transform methods to signals.

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