Название: Source Separation and Machine Learning
Автор: Jen-Tzung Chien
Издательство: Academic Press
Год: 2019
Страниц: 384
Формат: PDF
Размер: 12 Mb
Язык: English
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.