Master Signal Processing for Communications

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King's College London

Comments about Master Signal Processing for Communications - At the institution - London - Greater London

• Objectives
  For students and practitioners with a background and/or interest in signal processing and communications who wish to further their study in the cutting edge topics of communication signal processing and explore a variety of applications thereof, including the flourishing area of wireless communications.
• Entry requirements
  students and practitioners with a background and/or interest in signal processing and communications
• Academic title
  MSc Signal Processing for Communications
• Course description
  Programme description
  - covers modern aspects of signal processing for communications
  - provides expert knowledge on the theory and practice of signal processing for communications.
  - additional specialisation on digital and mobile communications.
  
  Our programme has been designed in response to the growing interest and demand in a broad range of commercial sectors for engineers proficient in signal processing aspects of communication technologies. We aim to reflect the current requirements and anticipate the future needs of the ITC sector and specifically, the fast growing area of wireless communications.
  
  The core courses for this programme are: Fundamentals of Digital Signal Processing (DSP), Real-time DSP, Statistical signal processing, Mobile and Personal Communications, Communication Theory, and Digital Communications. Students take two additional optional courses from the following: Adaptive and array signal processing, Wavelets and transforms in DSP, Introduction to Communication networks, and Compression methods for Multimedia.
  
  A major part of the curriculum is a substantial individual project. The project is undertaken during the summer, possibly in collaboration with academics from other departments and/or industrial partners. Texas Instruments are also supporting the course through 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.
  

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