Blind Source Separation: Advances in Theory, Algorithms and Applications

ISBN-13: 9783642550157 / Angielski / Twarda / 2014 / 551 str.

Ganesh R. Naik;Wenwu Wang

Opis

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.

Spis treści

Theory.- BSS algorithms using Second order and Higher Order statistics.- Sparse BSS methods.- Convolutive BSS.- Source Localisation.- Under complete BSS.- Over complete BSS.- Semi blind BSS methods.- Source Separation and Identification issues.- Unknown number of source separation using BSS.- Application.- BSS for Image processing applications.- Biomedical application of BSS.- BSS applications of Electromyography (EMG).- BSS applications of Electroencephalography (EEG).- BSS applications of Electrocardiography (ECG).- Artefact removal of biomedical data using BSS.- Source localisation of Audio and Bio signals.- Source separation and identification issued in Audio and Bio signals.- Over complete BSS for Audio and Bio signals.- Under complete BSS for Audio and Bio signals.- BSS for Music separation.- Source separation in retinal and MRI imaging applications.- Semi blind BSS for Audio and Biomedical data.- Analysis of Heart rate analysis using BSS.- Comparison of real word audio and bio signals with synthetic data using BSS.- BSS for financial and economics applications.- BSS for moving source separation.

O autorze

Ganesh R. Naik received B.E. degree in Electronics and communication Engineering from the University of Mysore, India, in 1997. M.E. degree in Communication and Information Engineering from Griffith University, Brisbane, Australia, in 2002 and the PhD degree in the area of Electronics Engineering, specialised in Biomedical Engineering and Signal processing from RMIT University, Melbourne, Australia, in 2009.
He is currently an academician and researcher at RMIT University. As an early career researcher, he has edited 6 books, authored more than 75 papers in peer reviewed journals, conferences and book chapters over the last five years. His research interests include Pattern recognition, BSS/ICA techniques, Audio signal processing, Biosignal processing and Human Computer Interface. Dr. Naik was the Chair for the IEEE Computer Society CIT08 Conference, Sydney and a member of the organising committee for IEEE BRC2011, IEEE BRC 2012 and IEEE BRC 2013 conferences that are held in Brazil. He is also a reviewer and member of editorial board in several reputed journals. He was a recipient of the Baden Württemberg Scholarship from the University of Berufsakademie, Stuttgart, Germany (2006 2007). In 2010, Dr. Naik is awarded with ISSI overseas fellowship from skilled Institute Victoria, Australia.
Wenwu Wang was born in Anhui, China, in 1974. He received the B.Sc. degree in automatic control in 1997, the M.E. degree in control science and control engineering in 2000 and the Ph.D. degree in navigation guidance and control in 2002, all from Harbin Engineering University, China. He joined the Department of Electronic Engineering, King s College London, U.K., as a Postdoctoral Research Associate in May 2002, and then transferred to the Cardiff School of Engineering, Cardiff University, U.K., in January 2004. In May 2005, he joined the Tao Group Ltd. (now Antix Labs Ltd.), U.K., as a DSP engineer. In September 2006, he moved to the Creative Technology Ltd. working at the Sensaura Division, U.K., as a Software R&D Engineer. Since May 2007, he has been with the Centre for Vision Speech and Signal Processing, University of Surrey, U.K., where he is currently a Lecturer. He is also a member of both the Ministry of Defence (MoD) University Defence Research Centre in Signal Processing and the BBC Audio Research Partnership.
His current research interests are in the areas of blind signal processing, machine audition (listening), audio-visual signal processing, sparse signal processing, machine learning and perception. His research is funded by the Engineering and Physical Sciences Research Council, Ministry of Defence, Defence Sciences and Technology Laboratory, Home Of ce, Royal Academy of Engineering and the University Research Support Fund.