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.
| ISBN: | 9783662514030 |
| Publication date: | 20th September 2016 |
| Author: | Ganesh R Naik, Wenwu Wang |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 551 pages |
| Series: | Signals and Communication Technology |
| Genres: |
Electronics engineering Numerical analysis Biomedical engineering Artificial intelligence Digital signal processing (DSP) Image processing |
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.
Blind Source Separation features in the following genres: Electronics engineering, Numerical analysis, Biomedical engineering, Artificial intelligence, Digital signal processing (DSP), Image processing
Paperback. Not Available.
Blind Source Separation was written by Ganesh R Naik, Wenwu Wang and published by Springer an imprint of Springer Berlin Heidelberg
Blind Source Separation has 551 pages
Yes it is part of Signals and Communication Technology series