Source Separation and Machine Learning

78.26 LEI

86.95 LEI

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Description

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.

Details

ISBN: 9780128045664

Sold By: Prior Books Total Items: 60694

Source Separation and Machine Learning

78.26 LEI

86.95 LEI

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