Danilo P. Mandic - Böcker
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4 produkter
4 produkter
Del 61 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Complex Valued Nonlinear Adaptive Filters
Noncircularity, Widely Linear and Neural Models
Inbunden, Engelska, 2009
1 454 kr
Skickas inom 7-10 vardagar
This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, and methods for the processing of general complex signals (circular and noncircular). It brings together adaptive filtering algorithms for feedforward (transversal) and feedback architectures and the recent developments in the statistics of complex variable, under the powerful frameworks of CR (Wirtinger) calculus and augmented complex statistics. This offers a number of theoretical performance gains, which is illustrated on both stochastic gradient algorithms, such as the augmented complex least mean square (ACLMS), and those based on Kalman filters. This work is supported by a number of simulations using synthetic and real world data, including the noncircular and intermittent radar and wind signals.
Recurrent Neural Networks for Prediction
Learning Algorithms, Architectures and Stability
Inbunden, Engelska, 2001
2 285 kr
Skickas inom 7-10 vardagar
New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest research work the authors demonstrate how real-time recurrent neural networks (RNNs) can be implemented to expand the range of traditional signal processing techniques and to help combat the problem of prediction. Within this text neural networks are considered as massively interconnected nonlinear adaptive filters. Analyses the relationships between RNNs and various nonlinear models and filters, and introduces spatio-temporal architectures together with the concepts of modularity and nestingExamines stability and relaxation within RNNsPresents on-line learning algorithms for nonlinear adaptive filters and introduces new paradigms which exploit the concepts of a priori and a posteriori errors, data-reusing adaptation, and normalisationStudies convergence and stability of on-line learning algorithms based upon optimisation techniques such as contraction mapping and fixed point iterationDescribes strategies for the exploitation of inherent relationships between parameters in RNNsDiscusses practical issues such as predictability and nonlinearity detecting and includes several practical applications in areas such as air pollutant modelling and prediction, attractor discovery and chaos, ECG signal processing, and speech processingRecurrent Neural Networks for Prediction offers a new insight into the learning algorithms, architectures and stability of recurrent neural networks and, consequently, will have instant appeal. It provides an extensive background for researchers, academics and postgraduates enabling them to apply such networks in new applications.VISIT OUR COMMUNICATIONS TECHNOLOGY WEBSITE! http://www.wiley.co.uk/commstech/VISIT OUR WEB PAGE! http://www.wiley.co.uk/
Tensor Networks for Dimensionality Reduction and Large-scale Optimization
Part 1 Low-Rank Tensor Decompositions
Häftad, Engelska, 2016
1 416 kr
Skickas inom 3-6 vardagar
New Trends in Image Analysis and Processing, ICIAP 2013 Workshops
Naples, Italy, September 2013, Proceedings
Häftad, Engelska, 2013
552 kr
Skickas inom 10-15 vardagar
This book constitutes the refereed proceedings of the workshops held with the 17th International Conference on Image Analysis and Processing, ICIAP 2013, held in Naples, Italy, in September 2013.