Independent Component Analysis 2024 pdf epub mobi 電子書 下載


Independent Component Analysis

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Independent Component Analysis (ICA) has recently become an important tool for modelling and understanding empirical datasets. It is a method of separating out independent sources from linearly mixed data, and belongs to the class of general linear models. ICA provides a better decomposition than other well-known models such as principal component analysis. This self-contained book contains a structured series of edited papers by leading researchers in the field, including an extensive introduction to ICA. The major theoretical bases are reviewed from a modern perspective, current developments are surveyed and many case studies of applications are described in detail. The latter include biomedical examples, signal and image denoising and mobile communications. ICA is discussed in the framework of general linear models, but also in comparison with other paradigms such as neural network and graphical modelling methods. The book is ideal for researchers and graduate students in the field.

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Independent Component Analysis 2024 pdf epub mobi 電子書 下載

Independent Component Analysis 2024 pdf epub mobi 電子書 下載

Independent Component Analysis 2024 pdf epub mobi 電子書 下載



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出版者:Cambridge University Press
作者:Roberts, Stephen; Everson, Richard;
出品人:
頁數:352
譯者:
出版時間:2001-3-26
價格:USD 163.00
裝幀:Hardcover
isbn號碼:9780521792981
叢書系列:

圖書標籤: 計算機科學  電氣  Independent  ICA  Component  BSS  Analysis   


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