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Unsupervised Signal Processing: Channel Equalization and Source Separation

Unsupervised Signal Processing: Channel Equalization and Source Separation

          
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About the Book

Unsupervised Signal Processing: Channel Equalization and Source Separation provides a unified, systematic, and synthetic presentation of the theory of unsupervised signal processing. Always maintaining the focus on a signal processing-oriented approach, this book describes how the subject has evolved and assumed a wider scope that covers several topics, from well-established blind equalization and source separation methods to novel approaches based on machine learning and bio-inspired algorithms.

From the foundations of statistical and adaptive signal processing, the authors explore and elaborate on emerging tools, such as machine learning-based solutions and bio-inspired methods. With a fresh take on this exciting area of study, this book:

  • Provides a solid background on the statistical characterization of signals and systems and on linear filtering theory
  • Emphasizes the link between supervised and unsupervised processing from the perspective of linear prediction and constrained filtering theory
  • Addresses key issues concerning equilibrium solutions and equivalence relationships in the context of unsupervised equalization criteria
  • Provides a systematic presentation of source separation and independent component analysis
  • Discusses some instigating connections between the filtering problem and computational intelligence approaches.

Building on more than a decade of the authors' work at DSPCom laboratory, this book applies a fresh conceptual treatment and mathematical formalism to important existing topics. The result is perhaps the first unified presentation of unsupervised signal processing techniques--one that addresses areas including digital filters, adaptive methods, and statistical signal processing. With its remarkable synthesis of the field, this book provides a new vision to stimulate progress and contribute to the advent of more useful, efficient, and friendly intelligent systems.


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Product Details
  • ISBN-13: 9780849337512
  • Publisher: CRC Press
  • Publisher Imprint: Crc Press
  • Depth: 19
  • Height: 240 mm
  • No of Pages: 340
  • Series Title: English
  • Sub Title: Channel Equalization and Source Separation
  • Width: 163 mm
  • ISBN-10: 0849337518
  • Publisher Date: 28 Sep 2010
  • Binding: Hardback
  • Edition: 1
  • Language: English
  • Returnable: Y
  • Spine Width: 25 mm
  • Weight: 1351 gr


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