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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)

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Data analysis --- Statistical methods --- telecommunications --- medical sciences --- Sound --- Blind source separation

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Time-Domain Beamforming and Blind Source Separation addresses the problem of separating spontaneous multi-party speech by way of microphone arrays (beamformers) and adaptive signal processing techniques. While existing techniques require a Double-Talk Detector (DTD) that interrupts the adaptation when the target is active, the described method addresses the separation problem using continuous, uninterrupted adaptive algorithms. With this approach, algorithm development is much simpler since no detection mechanism needs to be designed and needs no threshold to be tuned. Also, performance can be improved due to the adaptation during periods of double-talk. The authors use two techniques to achieve these results: implicit beamforming, which requires the position of the target speaker to be known; and time-domain blind-source separation (BSS), which exploits second-order statistics of the source signals. In combination, beamforming and BSS can be used to develop novel algorithms. Emphasis is placed on the development of an algorithm that combines the benefits of both approaches. The book presents experimental results obtained with real in-car microphone recordings involving simultaneous speech of the driver and the co-driver. In addition, experiments with background noise have been carried out in order to assess the robustness of the considered methods in noisy conditions.

Blind source separation. --- Mobile communication systems. --- Signal processing. --- Speech processing systems. --- Blind source separation --- Speech processing systems --- Mobile communication systems --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Electrical Engineering --- Telecommunications --- Applied Physics --- Vehicles --- Vehicular communication systems --- Blind signal separation --- BSS (Blind source separation) --- Communication systems --- Telecommunication. --- Acoustics. --- Computer engineering. --- Signal, Image and Speech Processing. --- Communications Engineering, Networks. --- Electrical Engineering. --- Computers --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Communication --- Information theory --- Telecommuting --- Design and construction --- Radio --- Wireless communication systems --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Source separation (Signal processing) --- Image processing. --- Electrical engineering. --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Electric engineering --- Engineering

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Blind Source Separation intends to report the new results of the efforts on the study of Blind Source Separation (BSS). The book collects novel research ideas and some training in BSS, independent component analysis (ICA), artificial intelligence and signal processing applications. Furthermore, the research results previously scattered in many journals and conferences worldwide are methodically edited and presented in a unified form. The book is likely to be of interest to university researchers, R&D engineers and graduate students in computer science and electronics who wish to learn the core principles, methods, algorithms, and applications of BSS. Dr. Ganesh R. Naik works at University of Technology, Sydney, Australia; Dr. Wenwu Wang works at University of Surrey, UK.

Engineering. --- Computer graphics. --- Computer mathematics. --- Computational intelligence. --- Biomedical engineering. --- Signal, Image and Speech Processing. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Computational Intelligence. --- Biomedical Engineering. --- Computational Mathematics and Numerical Analysis. --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Engineering graphics --- Image processing --- Construction --- Industrial arts --- Technology --- Mathematics --- Digital techniques --- Blind source separation. --- Blind signal separation --- BSS (Blind source separation) --- Source separation (Signal processing) --- Computer vision. --- Computer science --- Biomedical Engineering and Bioengineering. --- Mathematics. --- Machine vision --- Vision, Computer --- Pattern recognition systems --- Signal processing. --- Image processing. --- Speech processing systems. --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Optical equipment

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The overarching goal of this book is to provide a current picture of the latest developments in the capabilities of biomedical photoacoustic imaging and sensing in an affordable setting, such as advances in the technology involving light sources, and delivery, acoustic detection, and image reconstruction and processing algorithms. This book includes 14 chapters from globally prominent researchers , covering a comprehensive spectrum of photoacoustic imaging topics from technology developments and novel imaging methods to preclinical and clinical studies, predominantly in a cost-effective setting. Affordability is undoubtedly an important factor to be considered in the following years to help translate photoacoustic imaging to clinics around the globe. This first-ever book focused on biomedical photoacoustic imaging and sensing using affordable resources is thus timely, especially considering the fact that this technique is facing an exciting transition from benchtop to bedside. Given its scope, the book will appeal to scientists and engineers in academia and industry, as well as medical experts interested in the clinical applications of photoacoustic imaging.

Medicine --- photoacoustic microscopy --- ultrasonic transducer --- optical-resolution photoacoustic microscopy --- transparent ultrasound transducer --- ultrasound stimulation --- photoacoustic --- LED --- clinic --- optical imaging --- tomography --- ultrasound --- small animal --- liver --- fibrosis --- optoacoustic --- spectral imaging --- blind source separation --- unsupervised unmixing --- photoacoustic imaging --- 3-D printed photoacoustic probe holder --- light delivery optimization --- LED divergence --- illumination scheme --- in vivo --- mouse --- Monte Carlo --- linear array --- tumor imaging --- LED-based photoacoustic imaging --- hair follicles --- FUE --- FUT --- photoacoustic computed tomography --- light-emitting diodes --- laser diodes --- oxygen saturation imaging --- photoacoustics --- fluence compensation --- hypoxia --- deep tissue imaging --- hemangioma --- laser --- light-emitting diodes (LED) --- mobile health --- peripheral arterial disease --- stroke --- vascular malformations --- signal enhancement --- pre-illumination --- photo-thermal effect --- heat capacity --- remote sensing --- endoscopy --- speckle --- n/a