Signal processing plays an increasingly central role in the development of modern telecommunication and information processing systems, with a wide range of applications in areas such as multimedia technology, audio-visual signal processing, cellular mobile communication, radar systems and financial data forecasting. The theory and application of signal processing deals with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy and hence, noise reduction and the removal of channel distortion is an important part of a signal processing system.
Advanced Digital Signal Processing and Noise Reduction, Third Edition, provides a fully updated and structured presentation of the theory and applications of statistical signal processing and noise reduction methods. Noise is the eternal bane of communications engineers, who are always striving to find new ways to improve the signal-to-noise ratio in communications systems and this resource will help them with this task.
- Features two new chapters on Noise, Distortion and Diversity in Mobile Environments and Noise Reduction Methods for Speech Enhancement over Noisy Mobile Devices.
- Topics discussed include: probability theory, Bayesian estimation and classification, hidden Markov models, adaptive filters, multi-band linear prediction, spectral estimation, and impulsive and transient noise removal.
- Explores practical solutions to interpolation of missing signals, echo cancellation, impulsive and transient noise removal, channel equalisation, HMM-based signal and noise decomposition.
This is an invaluable text for senior undergraduates, postgraduates and researchers in the fields of digital signal processing, telecommunications and statistical data analysis. It will also appeal to engineers in telecommunications and audio and signal processing industries.
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.