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 ...

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 ...

Due to high demand for this course, we operate a staged admissions process with multiple selection deadlines throughout the year, to maintain a fair and transparent approach. Explore our campus, meet ...

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 ...

Differential equations and systems analysis. Undergraduate controls and/or signal processing course would satisfy this requirement. A graduate-level systems course is also helpful, but not necessary.

Apply now for 2026 entry or book a place on our online open day on 29 April 2026 to see where a Sheffield masters could take you. Our programme bridges computer science, machine learning, linguistics ...

Patrick Flandrin president of the association GRETSI. The notion of “signal processing” might seem like something impenetrably complex, even to scientists. However, the fact is that most of them have ...

Due to high demand for this course, we operate a staged admissions process with multiple selection deadlines throughout the year, to maintain a fair and transparent approach. Explore our campus, meet ...

Signal processing is a multidisciplinary field concerned with the analysis, transformation, and interpretation of signals—functions that convey information about physical phenomena. At its core, ...