Advanced Digital Signal Processing and Noise Reduction
(Sprache: Englisch)
Signal processing theory plays an increasingly central role in the development of modern telecommunication and information processing systems, and has a wide range of applications across numerous disciplines. Fully revised and updated, with a new chapter on...
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Signal processing theory plays an increasingly central role in the development of modern telecommunication and information processing systems, and has a wide range of applications across numerous disciplines. Fully revised and updated, with a new chapter on MIMO antennae and extensive additions to the speech enhancement chapter, this fourth edition of Advanced Digital Signal Processing and Noise Reduction continues to provide researchers, postgraduates, and senior undergraduates with a complete presentation of the theory and applications of signal processing and noise reduction methods.
Klappentext zu „Advanced Digital Signal Processing and Noise Reduction “
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 fourth 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.
* Two new chapters on MIMO systems, correlation and Eigen analysis and independent component analysis
* Comprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information processing systems
* Examples and applications in signal and information extraction from noisy data
* Comprehensive but accessible coverage of signal processing theory including probability models, Bayesian inference, hidden Markov models, adaptive filters and Linear prediction models
Advanced Digital Signal Processing and Noise Reduction is an invaluable text for postgraduates, senior undergraduates and researchers in the fields of digital signal processing, telecommunications and statistical data
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analysis. It will also be of interest to professional engineers in telecommunications and audio and signal processing industries and network planners and implementers in mobile and wireless communication communities.
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Signal processing theory plays an increasingly central role in the development of modern telecommunication and information processing systems, and has a wide range of applications across numerous disciplines. Fully revised and updated, with a new chapter on MIMO antennae and extensive additions to the speech enhancement chapter, this fourth edition of Advanced Digital Signal Processing and Noise Reduction continues to provide researchers, postgraduates, and senior undergraduates with a complete presentation of the theory and applications of signal processing and noise reduction methods.
Inhaltsverzeichnis zu „Advanced Digital Signal Processing and Noise Reduction “
ContentsSymbols
Abbreviations
1 Introduction
Bibliography
2 Noise and Distortion
Bibliography
3 Information Theory and Probability Models
Bibliography
4 Baseyian Inference
Bibliography
5 Hidden Markov Models
Bibliography
6 Least Square Error Wiener-Kolmogorov Filters
Bibliography
7 Adaptive Filters, Kalman, RLS, LMS
Bibliography
8 Linear Prediction Models
Bibliography
9 Eigenvalue Analysis and Principal Component Analysis
Bibliography
10 Power Spectrum Analysis
Bibliography
11. Interpolation - Replacement of Lost Samples
Bibliography
12 Signal Enhancement via Spectral Amplitude Estimation
Bibliography
13 Impulsive Noise: Modelling, Detection and Removal
Bibliography
14 Transient Noise Pulses
Bibliography
15 Echo Cancellation
Bibliography
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
Bibliography
19 Signal Processing in Mobile Communication
Bibliography
Index
Autoren-Porträt von Saeed V. Vaseghi
ContentsSymbolsAbbreviations1 IntroductionBibliography2 Noise and DistortionBibliography3 Information Theory and Probability ModelsBibliography4 Baseyian InferenceBibliography5 Hidden Markov ModelsBibliography6 Least Square Error Wiener-Kolmogorov FiltersBibliography7 Adaptive Filters, Kalman, RLS, LMSBibliography8 Linear Prediction ModelsBibliography9 Eigenvalue Analysis and Principal Component AnalysisBibliography10 Power Spectrum AnalysisBibliography11. Interpolation - Replacement of Lost SamplesBibliography12 Signal Enhancement via Spectral Amplitude EstimationBibliography13 Impulsive Noise: Modelling, Detection and RemovalBibliography14 Transient Noise PulsesBibliography15 Echo CancellationBibliography16 Channel Equalisation and Blind Deconvolution17 Speech Enhancement: Noise Reduction, Bandwidth Extension and Packet Replacement18 Multiple-Input Multiple-Output Systems, Independent Component AnalysisBibliography19 Signal Processing in Mobile CommunicationBibliographyIndex
Bibliographische Angaben
- Autor: Saeed V. Vaseghi
- 2009, 4. Aufl., 608 Seiten, Maße: 25,2 cm, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 0470754060
- ISBN-13: 9780470754061
- Erscheinungsdatum: 30.01.2009
Sprache:
Englisch
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