This course studies the processing of discrete-time signals in the time and frequency domains. Students are introduced to the design and realisations of digital filters; the theory and application of ...

Applications range from medical imaging to autonomous vehicle technology. Learn data manipulation techniques to improve signal or image fidelity. Understand the theory of probability and stochastic ...

Design linear discrete-time systems and filters and analyze their behavior. Represent continuous-time signals and linear systems in discrete time, so that such signals can be recovered in continuous ...

Apply now for 2026 entry or book a place on our masters study discovery afternoon on Tuesday 12 May to see where a Sheffield masters could take you. Our programme bridges computer science, machine ...

This course is designed to introduce the students to the pathophysiology of common neurological diseases such as brain and spinal cord injuries, and to the application of systems engineering ...

Course Description: Special topics course covering the aspect of deterministic and stochastic signal processing relevant to environmental observation, including remote and in situ sensing for Earth ...

The notion of “signal processing” might seem like something impenetrably complex, even to scientists. However, the fact is that most of them have already being doing it for a long time, albeit in an ...