Signal Processing And Base Band Techniques

This module aims to introduce to the students signal processing techniques, including analogue and digital filter design and systems design theories. The module also introduces the concepts of statistical signal processing including estimation and detection theories, with illustrative case studies to demonstrate how these techniques can be used in communications systems. The course will also provide the student with an intuitive and practical understanding of the fundamental concepts of discrete-time signal processing. The intention is to also provide the student with the necessary background for taking advanced level courses in signal and image processing, and ideally, for reading technical literature in DSP. Further, computer simulation exercises are intended to familiarize the student with implementation aspects and the application of theoretical knowledge to practical problems.

COURSE JUSTIFICATION/RATIONALE

To introduce signal processing techniques. This course provide the student with an intuitive and practical understanding of the fundamental concepts of discrete-time signal processing.

LEARNING OBJECTIVES

By the end of this course, the student should be able to:

• Design analogue and digital filters according to set specifications
  
•  Design adaptive filters
  
• Analyse the effect of sampling on electronics signals
  
• Characterise random signals and processes
  
• Apply statistical signal processing estimation techniques to communications systems
  
• Discuss the basic principles of random signal processing, spectral estimation methods and adaptive filter algorithms and their applications.
  
• Describe the different signal detection and estimation methods used in communication system design and the implications of proper synchronization methods for proper functioning of the system.
  

LEARNING OUTCOMES

A student completing the course is expected to:

• Demonstrate an understanding of the basic principles of random signal processing, spectral estimation methods and adaptive filter algorithms and their applications.
  
• Demonstrate an understanding of the different signal detection and estimation methods used in communication system design and the implications of proper synchronization methods for proper functioning of the system.
  
• Apply his knowledge for designing a baseband system addressing the channel impairments.