Statistical Signal Processing (ELEN90079)

Intended learning outcomes

Intended Learning Outcomes (ILOs)

The aim of this subject is to give students a rigorous introduction to the mathematical tools commonly employed in statistical signal processing.

Having completed this subject it is expected that the student be able to:

1. Use the principle of orthogonality to derive least squares system identification and minimum mean square error state estimation algorithms
2. Use probability theory to analyse properties of system identification and filtering algorithms
3. Formulate and solve optimal system identification and filtering problems

Generic skills

• Ability to apply knowledge of basic science and engineering fundamentals;
• In-depth technical competence in at least one engineering discipline;
• Ability to undertake problem identification, formulation and solution;
• Ability to utilise a systems approach to design and operational performance;
• Expectation of the need to undertake lifelong learning, capacity to do so;
• Capacity for independent critical thought, rational inquiry and self-directed learning;
• Intellectual curiosity and creativity, including understanding of the philosophical and methodological bases of research activity;
• Openness to new ideas and unconventional critiques of received wisdom;
• Profound respect for truth and intellectual integrity, and for the ethics of scholarship.