Academic Press Library in Signal Processing, Volume 1: Signal Processing Theory and Machine Learning

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9780123965028: Academic Press Library in Signal Processing, Volume 1: Signal Processing Theory and Machine Learning

This first volume of a four volume set, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory.

With this reference source you will:

  • Quickly grasp a new area of research 
  • Understand the underlying principles of a topic and its application
  • Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved
  • Quick tutorial reviews of important and emerging topics of research in machine learning
  • Presents core principles in signal processing theory and shows their applications
  • Reference content on core principles, technologies, algorithms and applications
  • Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge
  • Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic

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From the Back Cover:

This first volume of a four volume set, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory.

Features:

  • Quick tutorial reviews of important and emerging topics of research in machine learning
  • Presents core principles in signal processing theory and shows their application
  • Reference content on core principles, technologies, algorithms and applications
  • Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge
  • Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic

With this reference source you will

  • Quickly grasp a new area of research
  • Understand the underlying principles of a topic and its application
  • Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved

About the Author:

Sergios Theodoridis acquired a Physics degree with honors from the University of Athens, Greece in 1973 and a MSc and a Ph.D. degree in Signal Processing and Communications from the University of Birmingham, UK in 1975 and 1978 respectively. Since 1995 he has been a Professor with the Department of Informatics and Communications at the University of Athens.

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Book Description Elsevier Science Publishing Co Inc, United States, 2013. Hardback. Book Condition: New. 238 x 202 mm. Language: English . Brand New Book. This first volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory. With this reference source you will: * Quickly grasp a new area of research * Understand the underlying principles of a topic and its application* Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved. Bookseller Inventory # AA59780123965028

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Book Description Book Condition: New. Publisher/Verlag: Academic Press | This first volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory.With this reference source you will:Quickly grasp a new area of research Understand the underlying principles of a topic and its applicationAscertain how a topic relates to other areas and learn of the research issues yet to be resolved Quick tutorial reviews of important and emerging topics of research in machine learningPresents core principles in signal processing theory and shows their applicationsReference content on core principles, technologies, algorithms and applications Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic | CHAPTER 1 Introduction to Signal Processing TheoryCHAPTER 2 Continuous-Time Signals and SystemsCHAPTER 3 Discrete-Time Signals and SystemsCHAPTER 4 Random Signals and Stochastic ProcessesCHAPTER 5 Sampling and QuantizationCHAPTER 6 Digital Filter Structures and their ImplementationCHAPTER 7 Multirate Signal Processing for Software Radio ArchitecturesCHAPTER 8 Modern Transform Design for Practical Audio/Image/Video Coding ApplicationsCHAPTER 9 Discrete Multi-Scale Transforms in Signal ProcessingCHAPTER 10 Frames in Signal ProcessingCHAPTER 11 Parametric EstimationCHAPTER 12 Adaptive FiltersCHAPTER 13 Introduction to Machine LearningCHAPTER 14 Learning TheoryCHAPTER 15 Neural NetworksCHAPTER 16 Kernel Methods and Support Vector MachinesCHAPTER 17 Online Learning in Reproducing Kernel Hilbert SpacesCHAPTER 18 Introduction to Probabilistic Graphical ModelsCHAPTER 19 A Tutorial Introduction to Monte Carlo Methods, Markov Chain Monte Carlo and Particle FilteringCHAPTER 20 ClusteringCHAPTER 21 Unsupervised Learning Algorithms and Latent Variable Models: PCA/SVD, CCA/PLS, ICA, NMF, etc.CHAPTER 22 Semi-Supervised LearningCHAPTER 23 Sparsity-Aware Learning and Compressed Sensing: An OverviewCHAPTER 24 Information Based LearningCHAPTER 25 A Tutorial on Model SelectionCHAPTER 26 Music Mining | Format: Hardback | Language/Sprache: english | 2652 gr | 238x199x59 mm | 1480 pp. Bookseller Inventory # K9780123965028

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THEODORIDIS, SERGIOS; CHELLAPPA, RAMA; DINIZ, PAULO; NAYLOR, PATRICK; SUYKENS, JOHAN
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THEODORIDIS, SERGIOS; CHELLAPPA, RAMA; DINIZ, PAULO; NAYLOR, PATRICK; SUYKENS, JOHAN
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