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.
"synopsis" may belong to another edition of this title.
Saeed Vaseghi is currently a Professor of Communications and Signal Processing at Brunel University’s department of Electronics and Computer Engineering and is Group Leader for the Communications & Multimedia Signal Processing Group.
Previously, Saeed obtained a first in Electrical and Electronics Engineering from Newcastle University, and a PhD in Digital Signal Processing from Cambridge University. His Ph.D. in noisy signal restoration led to establishment of CEDAR, the world′s leading system for restoration of audio signals. Saeed also held a British Telecom lectureship at UEA Norwich, and a readership at Queen′s University of Belfast before his move to Brunel.
"About this title" may belong to another edition of this title.
£ 10.64 shipping from United Kingdom to U.S.A.
Destination, rates & speedsSeller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Seller Inventory # Z1-B-004-01705
Quantity: 1 available
Seller: Feldman's Books, Menlo Park, CA, U.S.A.
Hardcover. Condition: Very Fine. Third Edition. No markings. Seller Inventory # 00043692
Quantity: 1 available