Signal Processing and Communications

Overview

Course Contents • Discrete-time (DT) signals.
• Fourier analysis
• Discrete linear filters and adaptive filtering
• Laplace transform
• Stochastic signal processing and multipath fading channels
• Digital modulation and demodulation
• Channel coding
• OFDM
• Using signal processing to analyse the performance of communications systems

Learning Objectives

After the completion of this module you will be able to:
• Have a strong grasp on the fundamental concepts and techniques pertaining to signals and communications systems, with an emphasis on the discrete-time domain, for further study in communications and signal processing.
• Design specific signal processing system models and algorithms.
• Perform statistical analysis and inferences on random signals
• Familiar with Matlab software in the simulation of DTFT and wireless communications systems

Skills

• Numeric analysis
• System design and problem solving
• How to construct and analyse discrete- time models

Assessment

none