Source Separation and Machine Learning

$134.93 $0.00
( / )
Add to Wishlist

Free delivery worldwide

Receive the books within
3-12 business days.

Why buy from Booksmart ?

Why Buy From Us?
  • 100% Authentic Books
  • Customer Satisfaction is our no. 1 Priority
  • Secure Payment
First Time Buying From Booksmart?Take 10% Off With Code "MyFirst10".
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.
$134.93 $0.00
( / )

Free delivery worldwide

Receive the books within
3-12 business days.

Why buy from Booksmart ?

Why Buy From Us?
  • 100% Authentic Books
  • Customer Satisfaction is our no. 1 Priority
  • Secure Payment
First Time Buying From Booksmart?Take 10% Off With Code "MyFirst10".
Add to Wishlist

Product details

Author: Jen-Tzung Chien

Format: Paperback | 384 pages

Dimensions:191 x 235 x 20.07mm | 730g

Publication Date: 23 Oct 2018

Publisher: Elsevier Science Publishing Co Inc

Language: English

ISBN 10: 0128177969

ISBN 13: 9780128177969