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Advanced Digital Signal Processing and Noise Reduction
Second Edition
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Saeed V. Vaseghi, Department of Electronics and Computer Engineering, Brunel University, UK
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0471 62692 9
July 2000
Hardback
498pp
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Signal processing and noise reduction are at the core of telecommunications and
information processing systems. With the increasing use of digital cellular mobile systems in a variety of adverse
environments, noise reduction is becoming a particularly important aspect of communication system design. This
second edition provides a thoroughly revised and expanded introduction to the fundamentals of random processes,
Bayesian modelling, and noise reduction. The subject is covered in a graphical and mathematically accessible manner
with the emphasis on Bayesian inference and its application to noise reduction.
- Offers a comprehensive insight into a broad range of theory and applications of advanced signal processing
- Presents new chapters and sections on definition and modelling of different types of noise and distortions, multi-band linear prediction models, state-dependent Wiener filters and HMM-based noise reduction
- Explores practical solutions to echo cancellation, impulsive and transient noise removal, broad-band noise removal, channel equalisation, HMM-based signal and noise decomposition
- Discusses topics such as probability theory, Bayesian estimation and classification, hidden Markov models, adaptive filters, multi-band linear prediction, spectral estimation and impulsive and transient noise removal
Contents:
- Introduction
- Noise & Distortion
- Probability Models
- Bayesian Estimation
- Hidden Markov Models
- Weiner Filters
- Adaptive Filters
- Linear Prediction Models
- Power Spectrum & Correlation
- Interpolation
- Spectral Subtraction
- Impulsive Noise
- Transient Noise Pulse
- Echo Cancellation
- Channel Equalization and Blind Deconvolution
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