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ELEC50013 Signals and Systems


Lecturer(s): Prof Patrick Naylor

Aims

The aim of this topic is to take data in one domain and transform it to another domain that helps analysis. Data may be taken in time, space and can be structured or unstructured. The unifying idea is that there are certain fundamental principles such as sampling and transforms that apply throughout. There are different mathematical tools that can be used to implement them in different scenarios. These tools will be used to study the stability of systems and to design analogue and digital filters.

Learning Outcomes

Upon successful completion of this module, you will be able to:
1. Use the techniques of Laplace Transforms to solve ordinary differential equations and apply them in the context of signal processing.
2. Explain and apply convolution for linear time-variant systems using transfer functions for continuous and discrete time systems.
3. Use the sampling theorem with the discrete Fourier Transform and the z-transform.
4. Model a data filtering problem as a transfer function
5. Classify real-world data into different types of signals

Syllabus

- Types of data and signals
- Types of analysis
- Representing signals using Laplace Transforms and Z-Transforms
- Transfer functions and frequency response � stability analysis
- Revision of sampling
- Design of Analogue and Digital filters.

This module and ELEC50009 Information Processing share a common Autumn term with both cohorts sharing lectures and being taught the same material.
Assessment
Exam Duration: N/A
Coursework contribution: 10%

Term: Autumn

Closed or Open Book (end of year exam): N/A

Coursework Requirement:
         Laboratory Experiment
         Non-assessed problem sheets

Oral Exam Required (as final assessment): no

Prerequisite module(s): None required

Course Homepage: unavailable

Book List: