Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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. 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.

Blind source separation. --- Nonlinear theories. --- Nonlinear problems --- Nonlinearity (Mathematics) --- Blind signal separation --- BSS (Blind source separation) --- Signal processing. --- Source separation. --- Nonlinear blind source separation. --- Independent component analysis. --- Nonlinear ICA. --- Calculus --- Mathematical analysis --- Mathematical physics --- Source separation (Signal processing)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The EURASIP workshop contributions collected in this volume have an interdisciplinary character. The authors include psychologists, biologists, engineers and mathematicians as well as computer scientists. The volume starts with two invited papers, by George Cybenko and by Eric Baum, on the formal study of the capabilities of neural networks. The following papers are organized into parts dealing with theory and algorithms, speech processing, image processing, and implementation. The workshop was sponsored by the European Association for Signal Processing without restriction on the origin of participants.

Artificial intelligence. Robotics. Simulation. Graphics --- 681.3*C13 --- 681.3*C3 --- 681.3*F --- 681.3*I26 --- 681.3*I4 --- Adaptable architectures; capability architectures; cellular architecture; data flow architectures; high-level language architectures; stack-oriented processors --- Special-purpose and application-based systems: microprocessor/microcomputer; process control-, real-time, signal processing systems (Computer systems organization)--See also {681.3*J7} --- Theory of computation --- Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- Image processing: image displays; image processing software (Computing methododologies) --- 681.3*I4 Image processing: image displays; image processing software (Computing methododologies) --- 681.3*I26 Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- 681.3*F Theory of computation --- 681.3*C3 Special-purpose and application-based systems: microprocessor/microcomputer; process control-, real-time, signal processing systems (Computer systems organization)--See also {681.3*J7} --- 681.3*C13 Adaptable architectures; capability architectures; cellular architecture; data flow architectures; high-level language architectures; stack-oriented processors --- Artificial intelligence. --- Computer Communication Networks. --- Optical pattern recognition. --- Computer vision. --- Computer science. --- Software engineering. --- Artificial Intelligence. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Processor Architectures. --- Special Purpose and Application-Based Systems. --- Computer software engineering --- Engineering --- Informatics --- Science --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers