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Source Separation and Machine Learning - by  Jen-Tzung Chien (Paperback) - 1 of 1

Source Separation and Machine Learning - by Jen-Tzung Chien (Paperback)

$99.95

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About this item

Highlights

  • Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS) and emphasizes the importance of machine learning perspectives.
  • Author(s): Jen-Tzung Chien
  • 384 Pages
  • Technology, Engineering (General)

Description



Book Synopsis



Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS) and emphasizes the importance of machine learning perspectives. It illustrates how BSS problems are tackled through adaptive learning algorithms and model-based approaches using the latest information on mixture signals to build a BSS model that is seen as a statistical model for a whole system. Looking at different models, including independent component analysis (ICA), nonnegative matrix factorization (NMF), nonnegative tensor factorization (NTF), and deep neural network (DNN), the book addresses how they have evolved to deal with multichannel and single-channel source separation.

Dimensions (Overall): 9.25 Inches (H) x 7.5 Inches (W) x .79 Inches (D)
Weight: 1.45 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 384
Genre: Technology
Sub-Genre: Engineering (General)
Publisher: Academic Press
Format: Paperback
Author: Jen-Tzung Chien
Language: English
Street Date: October 23, 2018
TCIN: 1009433638
UPC: 9780128177969
Item Number (DPCI): 247-55-9409
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.79 inches length x 7.5 inches width x 9.25 inches height
Estimated ship weight: 1.45 pounds
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Q: What is the target audience for this book?

submitted by AI Shopping Assistant - 2 months ago
  • A: The suggested age for readers is 22 years and up, indicating a focus on adults and professionals.

    submitted byAI Shopping Assistant - 2 months ago
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Q: Who is the author of this book?

submitted by AI Shopping Assistant - 2 months ago
  • A: The author of the book is Jen-Tzung Chien.

    submitted byAI Shopping Assistant - 2 months ago
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Q: What kind of algorithms does the book explore?

submitted by AI Shopping Assistant - 2 months ago
  • A: The book explores adaptive learning algorithms used for tackling Blind Source Separation problems.

    submitted byAI Shopping Assistant - 2 months ago
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Q: What are the main models discussed in the book?

submitted by AI Shopping Assistant - 2 months ago
  • A: Main models discussed include Independent Component Analysis, Nonnegative Matrix Factorization, Nonnegative Tensor Factorization, and Deep Neural Networks.

    submitted byAI Shopping Assistant - 2 months ago
    Ai generated

Q: What is the focus of the book's content?

submitted by AI Shopping Assistant - 2 months ago
  • A: The book focuses on adaptive learning algorithms for Blind Source Separation and emphasizes machine learning perspectives.

    submitted byAI Shopping Assistant - 2 months ago
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