Source Separation and Machine Learning, Paperback by Chien, Jen-tzung, Brand ...

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Book Title	Source Separation and Machine Learning
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Source Separation and Machine Learning, Paperback by Chien, Jen-tzung, ISBN 0128177969, ISBN-13 9780128177969, Brand New, Free P&P in the UK

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), th addresses how they have evolved to deal with multichannel and single-channel source separation.

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