Signal Processing

This course material is designed for third-year Electronics and Communication students at the Fac

ulty of Science and Technology, providing a foundational understanding of signal processing. It aims

to equip students with the skills to analyse and model signals in both time and frequency domains

while introducing them to key digital processing techniques like spectral analysis and filtering. The

course covers advanced concepts like sampling theory, discrete Fourier transforms (DFT), and

Z-transforms. Students will also explore random signals and stochastic processes, learning to

Handle signals corrupted by noise using filtering and detection techniques. The course introduces

analogue and digital filters, focusing on design and implementation, and emphasises applications

in fields like telecommunications, image processing, biomedical engineering, and control systems 

items. Practical exercises and examples throughout the course help students develop a strong theoretical

and practical foundation in signal processing.