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Signals And Systems

Key information

  • Module code:

    5CCYB020

  • Level:

    5

  • Semester:

      Autumn

  • Credit value:

    15

Module description

Learning Objectives:

On completion of the course the students should be able to:

  • Explain fundamental concepts of discrete and continuous linear systems and signals and their properties.
  • Explain fundamental concepts of discrete and continuous Fourier and Laplace transform theory and their properties.
  • Describe the sampling theorem and the relation between continuous-time and discrete-time signals.
  • Apply discrete and continuous linear systems concepts and tools (e.g. convolution, Fourier and Laplace transforms theory, sampling and filtering) to numerically solve unseen problems.
  • Implement linear systems concepts and tools in Matlab to computationally solve unseen problems and report the results.

Assessment details

Examination 70%

Coursework 30%

 

Learning outcomes

On completion of the course the students should be able to:

  •  To demonstrate awareness of the underpinning concepts of theory of signal and linear systems.
  •  To use theoretical models of mathematical representation of discrete - time and continuous - time signals.
  •  To collect and synthesise techniques of signal processing techniques such as transforms, filtering and frequency response.
  •  To analyse stability of feedback systems and to design such systems.

Department

Module description disclaimer

King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest you keep an eye on the course finder on our website for updates.

Please note that modules with a practical component will be capped due to educational requirements, which may mean that we cannot guarantee a place to all students who elect to study this module.

Please note that the module descriptions above are related to the current academic year and are subject to change.