03335cam a2200349 a 4500 15336446 20170105102348.0 080619s2008 enka b 001 0 eng 2008027448 GBA8A7295 bnb 014749228 Uk 9780470754061 (cloth) 0470754060 (cloth) (OCoLC)ocn232392031 DLC eng DLC BWKUK BWK YDXCP CDX BTCTA BAKER INTCL UKM OCLCQ DLC 621.3822 22 Vaseghi, Saeed V. Advanced digital signal processing and noise reduction Saeed V. Vaseghi. 4th ed. Chichester, U.K. : J. Wiley & Sons, 2008. xxx, 514 p. : ill. ; 25 cm. Includes bibliographical references and index. 1. Introduction -- 2. Noise and Distortion -- 3. Information Theory and Probability Models -- 4. Bayesian Inference -- 5. Hidden Markov Models -- 6. Least Square Error Wiener-Kolmogorov Fillers -- 7. Adaptive Filters: Kalman, RLS, LMS -- 8. Linear Prediction Models -- 9. Eigenvalue Analysis and Principal Component Analysis -- 10. Power Spectrum Analysis -- 11. Interpolation -- Replacement of Lost Samples -- 12. Signal Enhancement via Spectral Amplitude Estimation -- 13. Impulsive Noise: Modelling, Detection and Removal -- 14. Transient Noise Pulses -- 15. Echo Cancellation -- 16. Channel Equalisation and Blind Deconvolution -- 17. Speech Enhancement: Noise Reduction, Bandwidth Extension and Packet Replacement -- 18. Multiple-Input Multiple-Output Systems, Independent Component Analysis -- 19. Signal Processing in Mobile Communication. "Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy and therefore noise reduction, the removal of channel distortion, and replacement of lost samples are important parts of a signal processing system." "The 4th edition of Advanced Digital Signal Processing and Noise Reduction updates and extends the chapters in the previous edition and includes two new chapters on MIMO systems, Correlation and Eigen analysis and independent component analysis. The wide range of topics covered in this book include Wiener filters, echo cancellation, channel equalisation, spectral estimation, detection and removal of impulsive and transient noise, interpolation of missing data segments, speech enhancement and noise/interference in mobile communication environments. This book provides a coherent and structured presentation of the theory and applications of statistical signal processing and noise reduction methods."--Jacket. Signal processing. Electronic noise. Digital filters (Mathematics) Table of contents only http://catdir.loc.gov/catdir/toc/ecip0821/2008027448.html 7 cbc orignew 1 ecip 20 y-gencatlg ddc BK 11788 11788 0 0 0 0 NFIC CL CL GEN 2013-04-09 Multi-Line Books 10635.98 2 621.3822 VAS SEECS012187 2021-01-26 2020-10-06 2013-04-18 BK