Nonlinear Source Separation (synthesis Lectures On Signal Processing)
by Luis B. Almeida /
2006 / English / PDF
12.3 MB Download
The purpose of this lecture book is to present the state of the art
in nonlinear blind source separation, in a form appropriate for
students, researchers and developers. Source separation deals with
the problem of recovering sources that are observed in a mixed
condition. When we have little knowledge about the sources and
about the mixture process, we speak of blind source separation.
Linear blind source separation is a relatively well studied
subject, however nonlinear blind source separation is still in a
less advanced stage, but has seen several significant developments
in the last few years. This publication reviews the main nonlinear
separation methods, including the separation of post-nonlinear
mixtures, and the MISEP, ensemble learning and kTDSEP methods for
generic mixtures. These methods are studied with a significant
depth. A historical overview is also presented, mentioning most of
the relevant results, on nonlinear blind source separation, that
have been presented over the years.
The purpose of this lecture book is to present the state of the art
in nonlinear blind source separation, in a form appropriate for
students, researchers and developers. Source separation deals with
the problem of recovering sources that are observed in a mixed
condition. When we have little knowledge about the sources and
about the mixture process, we speak of blind source separation.
Linear blind source separation is a relatively well studied
subject, however nonlinear blind source separation is still in a
less advanced stage, but has seen several significant developments
in the last few years. This publication reviews the main nonlinear
separation methods, including the separation of post-nonlinear
mixtures, and the MISEP, ensemble learning and kTDSEP methods for
generic mixtures. These methods are studied with a significant
depth. A historical overview is also presented, mentioning most of
the relevant results, on nonlinear blind source separation, that
have been presented over the years.
