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£70.57

Academic Press Source Separation and Machine Learning

Name: Source Separation and Machine Learning
Brand: Academic Press
Price: 70.57 GBP
Availability: InStock

Computer Science

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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.

Product Specifications

Brand: Academic Press
Format: paperback
ASIN: 0128177969
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 23 October 2018
Listed Since: 25 July 2018

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Academic Press Source Separation and Machine Learning

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