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ISBN 13 : 9781509092857
Total Pages : pages
Book Rating : 4.0/5 (928 download)
Download or read book 2006 IEEE Workshop on Machine Learning for Signal Processing written by and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
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ISBN 13 :
Total Pages : 470 pages
Book Rating : 4.:/5 (186 download)
Download or read book 2006 IEEE Workshop on Machine Learning for Signal Processing (MLSP) written by and published by . This book was released on 2006 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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ISBN 13 : 9780780395176
Total Pages : pages
Book Rating : 4.3/5 (951 download)
Download or read book Machine Learning for Signal Processing, 2005 IEEE Workshop on written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : IEEE Staff
Publisher :
ISBN 13 : 9781479911790
Total Pages : 591 pages
Book Rating : 4.9/5 (117 download)
Download or read book 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) written by IEEE Staff and published by . This book was released on 2013-09-22 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Deniz Erdoğmuş
Publisher :
ISBN 13 : 9781467374545
Total Pages : 433 pages
Book Rating : 4.3/5 (745 download)
Download or read book 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP 2015) written by Deniz Erdoğmuş and published by . This book was released on 2015 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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ISBN 13 : 9781467310246
Total Pages : 615 pages
Book Rating : 4.3/5 (12 download)
Download or read book 2012 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2012) written by and published by . This book was released on 2012 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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ISBN 13 : 9781424478767
Total Pages : pages
Book Rating : 4.4/5 (787 download)
Download or read book Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing written by and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Tülay Adali
Publisher : John Wiley & Sons
ISBN 13 : 0470575743
Total Pages : 428 pages
Book Rating : 4.4/5 (75 download)
Download or read book Adaptive Signal Processing written by Tülay Adali and published by John Wiley & Sons. This book was released on 2010-06-25 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leading experts present the latest research results in adaptive signal processing Recent developments in signal processing have made it clear that significant performance gains can be achieved beyond those achievable using standard adaptive filtering approaches. Adaptive Signal Processing presents the next generation of algorithms that will produce these desired results, with an emphasis on important applications and theoretical advancements. This highly unique resource brings together leading authorities in the field writing on the key topics of significance, each at the cutting edge of its own area of specialty. It begins by addressing the problem of optimization in the complex domain, fully developing a framework that enables taking full advantage of the power of complex-valued processing. Then, the challenges of multichannel processing of complex-valued signals are explored. This comprehensive volume goes on to cover Turbo processing, tracking in the subspace domain, nonlinear sequential state estimation, and speech-bandwidth extension. Examines the seven most important topics in adaptive filtering that will define the next-generation adaptive filtering solutions Introduces the powerful adaptive signal processing methods developed within the last ten years to account for the characteristics of real-life data: non-Gaussianity, non-circularity, non-stationarity, and non-linearity Features self-contained chapters, numerous examples to clarify concepts, and end-of-chapter problems to reinforce understanding of the material Contains contributions from acknowledged leaders in the field Adaptive Signal Processing is an invaluable tool for graduate students, researchers, and practitioners working in the areas of signal processing, communications, controls, radar, sonar, and biomedical engineering.
Author : Institute of Electrical and Electronics Engineers
Publisher :
ISBN 13 : 9781424423767
Total Pages : 503 pages
Book Rating : 4.4/5 (237 download)
Download or read book 2008 IEEE Workshop on Machine Learning for Signal Processing written by Institute of Electrical and Electronics Engineers and published by . This book was released on 2008 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Institute of Electrical and Electronics Engineers
Publisher :
ISBN 13 : 9781424478750
Total Pages : 473 pages
Book Rating : 4.4/5 (787 download)
Download or read book 2010 IEEE International Workshop on Machine Learning for Signal Processing written by Institute of Electrical and Electronics Engineers and published by . This book was released on 2010 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : IEEE Staff
Publisher :
ISBN 13 : 9781457716225
Total Pages : pages
Book Rating : 4.7/5 (162 download)
Download or read book 2011 IEEE International Workshop on Machine Learning for Signal Processing written by IEEE Staff and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ganesh R. Naik
Publisher : Springer
ISBN 13 : 3642550169
Total Pages : 549 pages
Book Rating : 4.6/5 (425 download)
Download or read book Blind Source Separation written by Ganesh R. Naik and published by Springer. This book was released on 2014-05-21 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Jen-Tzung Chien
Publisher : Academic Press
ISBN 13 : 0128045779
Total Pages : 384 pages
Book Rating : 4.1/5 (28 download)
Download or read book Source Separation and Machine Learning written by Jen-Tzung Chien and published by Academic Press. This book was released on 2018-11-01 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS) and emphasizes the importance of machine learning perspectives. It illustrates how BSS problems are tackled through adaptive learning algorithms and model-based approaches using the latest information on mixture signals to build a BSS model that is seen as a statistical model for a whole system. Looking at different models, including independent component analysis (ICA), nonnegative matrix factorization (NMF), nonnegative tensor factorization (NTF), and deep neural network (DNN), the book addresses how they have evolved to deal with multichannel and single-channel source separation. Emphasizes the modern model-based Blind Source Separation (BSS) which closely connects the latest research topics of BSS and Machine Learning Includes coverage of Bayesian learning, sparse learning, online learning, discriminative learning and deep learning Presents a number of case studies of model-based BSS (categorizing them into four modern models - ICA, NMF, NTF and DNN), using a variety of learning algorithms that provide solutions for the construction of BSS systems
Author : Konstantinos Diamantaras
Publisher : IEEE
ISBN 13 : 9781424415656
Total Pages : 446 pages
Book Rating : 4.4/5 (156 download)
Download or read book 2007 IEEE Workshop on Machine Learning for Signal Processing written by Konstantinos Diamantaras and published by IEEE. This book was released on 2007 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jasni Mohamad Zain
Publisher : Springer Science & Business Media
ISBN 13 : 3642221904
Total Pages : 756 pages
Book Rating : 4.6/5 (422 download)
Download or read book Software Engineering and Computer Systems, Part II written by Jasni Mohamad Zain and published by Springer Science & Business Media. This book was released on 2011-06-22 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Three-Volume-Set constitutes the refereed proceedings of the Second International Conference on Software Engineering and Computer Systems, ICSECS 2011, held in Kuantan, Malaysia, in June 2011. The 190 revised full papers presented together with invited papers in the three volumes were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on software engineering; network; bioinformatics and e-health; biometrics technologies; Web engineering; neural network; parallel and distributed e-learning; ontology; image processing; information and data management; engineering; software security; graphics and multimedia; databases; algorithms; signal processing; software design/testing; e- technology; ad hoc networks; social networks; software process modeling; miscellaneous topics in software engineering and computer systems.
Author : S. Y. Kung
Publisher : Cambridge University Press
ISBN 13 : 110702496X
Total Pages : 617 pages
Book Rating : 4.1/5 (7 download)
Download or read book Kernel Methods and Machine Learning written by S. Y. Kung and published by Cambridge University Press. This book was released on 2014-04-17 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering the fundamentals of kernel-based learning theory, this is an essential resource for graduate students and professionals in computer science.
Author : Danilo Comminiello
Publisher : Butterworth-Heinemann
ISBN 13 : 0128129778
Total Pages : 390 pages
Book Rating : 4.1/5 (281 download)
Download or read book Adaptive Learning Methods for Nonlinear System Modeling written by Danilo Comminiello and published by Butterworth-Heinemann. This book was released on 2018-06-11 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice. This book mainly focuses on those methodologies for nonlinear modeling that involve any adaptive learning approaches to process data coming from an unknown nonlinear system. By learning from available data, such methods aim at estimating the nonlinearity introduced by the unknown system. In particular, the methods presented in this book are based on online learning approaches, which process the data example-by-example and allow to model even complex nonlinearities, e.g., showing time-varying and dynamic behaviors. Possible fields of applications of such algorithms includes distributed sensor networks, wireless communications, channel identification, predictive maintenance, wind prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate students working in the areas of machine learning, signal processing, adaptive filtering, nonlinear control, system identification, cooperative systems, computational intelligence. This book may be also of interest to the industry market and practitioners working with a wide variety of nonlinear systems. Presents the key trends and future perspectives in the field of nonlinear signal processing and adaptive learning. Introduces novel solutions and improvements over the state-of-the-art methods in the very exciting area of online and adaptive nonlinear identification. Helps readers understand important methods that are effective in nonlinear system modelling, suggesting the right methodology to address particular issues.
