rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Blind source separation
    sub title: theory and applications
  name:
    name part: Yu, Xianchuan.
    role:
      role term: creator
  name:
    name part: Hu, Dan
    name part: Ph.D
  name:
    name part: Xu, Jindong.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: si
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xix, 366 pages)
  abstract: "This book offers a general overview of the basics of Blind Source Separation, important solutions and algorithms, and in-depth coverage of applications in image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition fMRI medical image processing, geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition. Firstly, the background and theory basics of blind source separation are introduced, which provides the foundation for the following work. Matrix operation, foundations of probability theory and information theory basics are included here. There follows the fundamental mathematical model and fairly new but relatively established blind source separation algorithms, such as Independent Component Analysis (ICA) and its improved algorithms (Fast ICA, Maximum Likelihood ICA, Overcomplete ICA, Kernel ICA, Flexible ICA, Non-negative ICA, Constrained ICA, Optimised ICA). The last part of the book considers the very recent algorithms in BSS e.g. Sparse Component Analysis (SCA) and Non-negative Matrix Factorization (NMF). Meanwhile, in-depth cases are presented for each algorithm in order to help the reader understand the algorithm and its application field"--Provided by publisher.
  table of contents: PART I. Theory basics of BSS -- Mathematical foundation of blind source separation -- General model and classical algorithm for BSS -- Evaluation criteria for the bss algorithm -- PART II. Independent component analysis -- Independent component analysis -- Fast independent component analysis and its application -- Maximum likelihood independent component analysis and its application -- Overcomplete independent component analysis algorithms and applications -- Kernel independent component analysis -- Non-negative independent component analysis and its application -- Constraint independent component analysis algorithms and applications -- Optimized independent component analysis algorithms and applications -- Supervised learning independent component analysis algorithms and applications -- PART III. Advances and applications of BSS -- Non-negative matrix factorization algorithms and applications -- Sparse component analysis and applications -- Glossary.
  note: Xianchuan Yu, Dan Hu, Jindong Xu.
  note: Includes bibliographical references and index.
  subject:
    topic: Blind source separation
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Mechanical
  subject:
    topic: Blind source separation
  subject:
    topic: Blind source separation
    topic: Handbooks, manuals, etc
  subject:
    topic: Blind source separation
  classification: TK5102.9
  classification: 621.382/2
  related item:
    title info:
      title: Blind source separation
    name:
      name part: Yu, Xianchuan.
    origin info:
      publisher: Singapore : John Wiley & Sons Singapore Pte. Ltd., 2014
    identifier: (DLC) 2013031750
    identifier: (OCoLC)855858254
  identifier: 9781118679869
  identifier: 1118679865
  identifier: 9781118679876
  identifier: 1118679873
  identifier: 9781118679852
  identifier: 1118679857
  identifier: 9781118679845
  identifier: 1118679849
  identifier: 2013033014
  identifier: https://doi.org/10.1002/9781118679852
  record info:
    record content source: DLC
    record creation date: 130813
    record change date: 20170124072537.6
    record identifier: ocn855858321
    language of cataloging:
      language term: eng