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Nonlinear Extensions of Independent Component Analysis (ICA) - Python Automation and Machine Learning for ICs - - An Online Book - |
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Python Automation and Machine Learning for ICs http://www.globalsino.com/ICs/ | ||||||||
Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix | ||||||||
================================================================================= Nonlinear extensions of Independent Component Analysis (ICA) accounts for nonlinear relationships between the sources and the observed signals. The standard ICA assumes that the observed signals are linear combinations of the independent sources. However, in some scenarios, the relationship between sources and observed signals may be inherently nonlinear. There are several approaches to address nonlinearity in ICA:
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