Titlebook: Nonlinear Blind Source Separation and Blind Mixture Identification; Methods for Bilinear Yannick Deville,Leonardo Tomazeli Duarte,Shahram H

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Yannick Deville,Leonardo Tomazeli Duarte,Shahram Hosseiniment regarding the use of technology in the classroom was needed 100 years ago; it would still be of use today.How technology has been a means of enhancing scientific literacy provides the organizing principle for the remainder of this study. The assorted successes and failures using technology to achieve this end provide the narrative.

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Yannick Deville,Leonardo Tomazeli Duarte,Shahram Hosseini

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Yannick Deville,Leonardo Tomazeli Duarte,Shahram Hosseini

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Yannick Deville,Leonardo Tomazeli Duarte,Shahram HPresents advanced configurations of the blind source separation problem, involving bilinear, linear-quadratic and polynomial mixing models.Provides a detailed and coherent description of the methods r

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SpringerBriefs in Electrical and Computer Engineeringhttp://image.papertrans.cn/n/image/667353.jpg

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https://doi.org/10.1007/978-3-030-64977-7Blind source separation; Blind mixture identification; Nonlinear mixture; Bilinear mixture; Linear-quadr

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978-3-030-64976-0The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

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Introduction, signals that are mixtures of these source signals , with partly unknown mixing transforms . Most of the methods proposed so far are restricted to the simplest class of mixtures, namely linear ones (instantaneous or not). However, various more advanced studies dealing with nonlinear mixtures have al

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