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Synopsis
Stochastic signal processing plays a central role in telecommunication and information processing systems, and has a wide range of applications in speech technology, audio signal processing, channel equalisation, radar signal processing, pattern analysis, data forecasting, decision making systems etc. 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. Hence, noise reduction and the removal of channel distortions is an important part of a signal processing system. The aim of this book is to provide a coherent and structured presentation of the theory and applications of stochastic signal processing and noise reduction methods. This book is organised in fourteen chapters. Chapter 1 begins with an introduction to signal processing, and provides a brief review of the signal processing methodologies and applications. The basic operations of sampling and quantisation are reviewed in this chapter. Chapter 2 provides an introduction to the theory and applications of stochastic signal processing. The chapter begins with an introduction to random signals, stochastic processes, probabilistic models and statistical measures. The concepts of stationary, non-stationary and ergodic processes are introduced in this chapter, and some important classes of random processes such as Gaussian, mixture Gaussian, Markov chains, and Poisson processes are considered. The effects of transformation of a signal on its distribution are considered.
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Advanced Signal Processing and Digital Noise Reduction (German Edition)
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Vieweg+Teubner Verlag, 2012
ISBN 10 : 3322927741
ISBN 13 : 9783322927743
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Advanced Signal Processing and Digital Noise Reduction (Paperback)
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2012
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Paperback. Etat : new. Paperback. Stochastic signal processing plays a central role in telecommunication and information processing systems, and has a wide range of applications in speech technology, audio signal processing, channel equalisation, radar signal processing, pattern analysis, data forecasting, decision making systems etc. 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. Hence, noise reduction and the removal of channel distortions is an important part of a signal processing system. The aim of this book is to provide a coherent and structured presentation of the theory and applications of stochastic signal processing and noise reduction methods. This book is organised in fourteen chapters. Chapter 1 begins with an introduction to signal processing, and provides a brief review of the signal processing methodologies and applications. The basic operations of sampling and quantisation are reviewed in this chapter. Chapter 2 provides an introduction to the theory and applications of stochastic signal processing. The chapter begins with an introduction to random signals, stochastic processes, probabilistic models and statistical measures. The concepts of stationary, non-stationary and ergodic processes are introduced in this chapter, and some important classes of random processes such as Gaussian, mixture Gaussian, Markov chains, and Poisson processes are considered. The effects of transformation of a signal on its distribution are considered. Stochastic signal processing plays a central role in telecommunication and information processing systems, and has a wide range of applications in speech technology, audio signal processing, channel equalisation, radar signal processing, pattern analysis, data forecasting, decision making systems etc. 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. Hence, noise reduction and the removal of channel distortions is an important part of a signal processing system. The aim of this book is to provide a coherent and structured presentation of the theory and applications of stochastic signal processing and noise reduction methods. This book is organised in fourteen chapters. Chapter 1 begins with an introduction to signal processing, and provides a brief review of the signal processing methodologies and applications. The basic operations of sampling and quantisation are reviewed in this chapter. Chapter 2 provides an introduction to the theory and applications of stochastic signal processing. The chapter begins with an introduction to random signals, stochastic processes, probabilistic models and statistical measures. The concepts of stationary, non-stationary and ergodic processes are introduced in this chapter, and some important classes of random processes such as Gaussian, mixture Gaussian, Markov chains, and Poisson processes are considered. The effects of transformation of a signal on its distribution are considered. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783322927743
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Advanced Signal Processing and Digital Noise Reduction (German Edition)
Edité par
Vieweg+Teubner Verlag, 2012
ISBN 10 : 3322927741
ISBN 13 : 9783322927743
Neuf
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Advanced Signal Processing and Digital Noise Reduction
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Advanced Signal Processing and Digital Noise Reduction
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Vieweg+Teubner Verlag Mai 2012, 2012
ISBN 10 : 3322927741
ISBN 13 : 9783322927743
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Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Stochastic signal processing plays a central role in telecommunication and information processing systems, and has a wide range of applications in speech technology, audio signal processing, channel equalisation, radar signal processing, pattern analysis, data forecasting, decision making systems etc. 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. Hence, noise reduction and the removal of channel distortions is an important part of a signal processing system. The aim of this book is to provide a coherent and structured presentation of the theory and applications of stochastic signal processing and noise reduction methods. This book is organised in fourteen chapters. Chapter 1 begins with an introduction to signal processing, and provides a brief review of the signal processing methodologies and applications. The basic operations of sampling and quantisation are reviewed in this chapter. Chapter 2 provides an introduction to the theory and applications of stochastic signal processing. The chapter begins with an introduction to random signals, stochastic processes, probabilistic models and statistical measures. The concepts of stationary, non-stationary and ergodic processes are introduced in this chapter, and some important classes of random processes such as Gaussian, mixture Gaussian, Markov chains, and Poisson processes are considered. The effects of transformation of a signal on its distribution are considered. 416 pp. Deutsch. N° de réf. du vendeur 9783322927743
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Advanced Signal Processing and Digital Noise Reduction
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Vieweg Verlag, Friedr, & Sohn Verlagsgesellschaft mbH, 2012
ISBN 10 : 3322927741
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Couverture souple
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. pp. 416. N° de réf. du vendeur 26128017029
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Advanced Signal Processing and Digital Noise Reduction
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ISBN 10 : 3322927741
ISBN 13 : 9783322927743
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Etat : New. Num Pages: black & white illustrations, bibliography. BIC Classification: TBC. Category: (G) General (US: Trade). Dimension: 244 x 170 x 22. Weight in Grams: 658. . . Paperback / so. . . . . N° de réf. du vendeur V9783322927743
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Advanced Signal Processing and Digital Noise Reduction
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Vieweg Verlag, Friedr, & Sohn Verlagsgesellschaft mbH, 2012
ISBN 10 : 3322927741
ISBN 13 : 9783322927743
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Couverture souple
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. Print on Demand pp. 416 67:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Perfect Bound on White w/Gloss Lam. N° de réf. du vendeur 131521882
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Advanced Signal Processing and Digital Noise Reduction
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Vieweg Verlag, Friedr, & Sohn Verlagsgesellschaft mbH, 2012
ISBN 10 : 3322927741
ISBN 13 : 9783322927743
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND pp. 416. N° de réf. du vendeur 18128017039
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Advanced Signal Processing and Digital Noise Reduction
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ISBN 10 : 3322927741
ISBN 13 : 9783322927743
Neuf
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Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 1 Introduction.- 1.1 Signals and Information.- 1.2 Signal Processing Methods.- 1.2.1 Non-parametric Signal Processing.- 1.2.2 Model-based Signal Processing.- 1.2.3 Bayesian Statistical Signal Processing.- 1.2.4 Neural Networks.- 1.3 Applications of Digital . N° de réf. du vendeur 4501072
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