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Book Synopsis

Proposal and application of blind source separation problem.- Mathematical model and separability condition of blind source separation.- Blind source separation theory basis.- preprocessing technology of blind source separation.- Gradient based overdetermined determined blind source separation algorithm.- Fast ica algorithm for overdetermined determined blind source separation.- Overdetermined determined blind separation algorithm based on joint diagonalization.- Blind source separation technique of overdetermined convolutional mixed.- Estimation of sufficiently sparse underdetermined mixed matrix.- Estimation of insufficiently sparse underdetermined mixed matrix.-source signal recovery algorithm based on compression reconstruction.- Other algorithms for source signal recovery.- The application of bss in communication signal processing.- Measurement experiment for bss of communication signal.

Principle and Application of Blind Source Separation Technology

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    A Hardback by Weihong Fu

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      View other formats and editions of Principle and Application of Blind Source Separation Technology by Weihong Fu

      Publisher: Springer
      Publication Date: 28/02/2025
      ISBN13: 9789819600212, 978-9819600212
      ISBN10:
      Also in:
      Artificial intelligence (AI)

      Description

      Book Synopsis

      Proposal and application of blind source separation problem.- Mathematical model and separability condition of blind source separation.- Blind source separation theory basis.- preprocessing technology of blind source separation.- Gradient based overdetermined determined blind source separation algorithm.- Fast ica algorithm for overdetermined determined blind source separation.- Overdetermined determined blind separation algorithm based on joint diagonalization.- Blind source separation technique of overdetermined convolutional mixed.- Estimation of sufficiently sparse underdetermined mixed matrix.- Estimation of insufficiently sparse underdetermined mixed matrix.-source signal recovery algorithm based on compression reconstruction.- Other algorithms for source signal recovery.- The application of bss in communication signal processing.- Measurement experiment for bss of communication signal.

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