The MPhil in Mobile and Multimedia Signal Processing will take one year of full-time or 2 years of part time studies. The MPhil research is extendable to a full PhD course.
The course consists of supervised research projects in the following areas:
- Personal Health (e.g. Heart) Monitoring Signal Processing and Classification Systems and Interface to Mobile phones.
- In-Car Mobile Communication And Navigation Systems And Interface To Internet Systems.
- Communication Digital Signal Processing For Optimising Capacity In WCDMA Mobile Phones.
- Dynamic Inter-Channel And Multiple Access Interference Reduction In Broadband Mobile Phone Systems.
- Modelling And Reducing The Effects Of Radiation From Mobile Phones And Base Stations
- Speech Recognition In Noise And Voicexml
- Background Noise Reduction And Acoustic Echo Cancellation In Mobile Phone And Base Stations.
- Speech Communication And Hands Free Interface In Mobile Phones And Internet
- Integration Of Text To Speech Synthesis And Speech Recognition For Hands-Free Interface To Mobile Devices.
- Multiple-Sensor Array Signal Processing For Noise Reduction.
- Speech And Multimedia Communication For Deaf And Disabled.
- Multimedia Audio-Visual Signal Processing And Its Applications In Automation, Business And Education.
- Applications Of Markov Processes And Bayesian Inference To Financial And Stock Market Data Modeling.
For further information email Prof. Saeed vaseghi at: saeed.vaseghi@brunel.ac.uk
Applications can be obtained from:
The Postgraduate Office
Department of Electronic and Computer Engineering
Brunel University
Uxbridge, Middlesex
UB8 3PH
UK
News
List of MPhil/PhD Projects in MultiMedia Mobile Digtial Signal Processing
Advanced Signal processing and Noise Reduction 3rd Ed, S. Vaseghi, John Wiley 2006
DeNoise Toolkit
This is a collection of established and new speech denoising methods developed at Brunel in collaboration with Southampton and UEA (Project sponsored by EPSRC).
Voice Morph
VoiceMorph is a software tool developed in our lab for analysis, modelling modification and of voice profile parameters including speaker correlates and Accent correlates of voice.
MSc Digital Signal Processing
Multimedia, communication and inteligent systems.