Master Signal Processing

Institution King's College London
Method At the institution
Location London
Type Masters
Course fee By request

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Master Signal Processing

Objectives For students and practitioners with a background and/or interest in signal processing who wish to understand the mathematical foundations of signal processing and explore the applications of this theory in a variety of modern settings, including consumer electronics, intelligent systems, wireless communications and multimedia.
Entry requirements students and practitioners with a background and/or interest in signal processing
Academic title Msc Signal Processing
Course description Programme description
- provides the most comprehensive coverage of signal processing systems.
- consolidates student knowledge by combining theory and practice.
- academic staff comprises of leading researchers in signal processing.

Signal processing is the mathematical engine under the bonnet of highly complex digital systems and devices that are at the core of the information exchanges in our lives today. Consequently, there is growing interest and demand in a broad range of commercial sectors; wireless communications, aerospace, consumer electronics and multimedia for engineers proficient in both the theory and practice of signal processing. It is with these drivers in mind that we have designed our MSc programme in Signal Processing to reflect the current requirements and to anticipate future needs in the ITC sector.

The core of our programme is underpinned by the following fundamental modules: Fundamentals of Digital Signal processing, Statistical Signal Processing, Real-time Signal processing, Wavelets and Transforms, Intelligent Signal processing and Adaptive and Array Signal Processing. Additionally, there are a number of optional courses, which you will take according to your own preferences, including: Compression Methods for Multimedia, Multimedia Signal Processing, Communications Theory, Introduction to Telecommunication Networks and Mobile and Personal Communications.

An important and substantial part of the programme is the individual project in which students have the opportunity to apply sophisticated, state-of-the-art signal processing techniques - much of which they encounter during the course, and some of which they uncover through their own research - to challenging and fascinating problems. Many of the projects are inspired by actual problems that are faced by our extensive network of industrial and academic partners. The course also enjoys the generous support of Texas Instruments, in particular through the provision of DSP equipment and software.

Programme format and assessment
Teaching methods: lectures; tutorials, seminars. Assessment: coursework, written examinations, final project report. More information about our modules can be found online.

Duration
One year FT, two years PT, September to September.