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Spatio Temporal Image Filtering With Cellular Neural Networks


Spatio Temporal Image Filtering With Cellular Neural Networks
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Spatio Temporal Image Filtering With Cellular Neural Networks


Spatio Temporal Image Filtering With Cellular Neural Networks
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Author : Bertram Emil Shi
language : en
Publisher:
Release Date : 1994

Spatio Temporal Image Filtering With Cellular Neural Networks written by Bertram Emil Shi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.




Cellular Neural Networks


Cellular Neural Networks
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Author : Gabriele Manganaro
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Cellular Neural Networks written by Gabriele Manganaro and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


The field of cellular neural networks (CNNs) is of growing importance in non linear circuits and systems and it is maturing to the point of becoming a new area of study in general nonlinear theory. CNNs emerged through two semi nal papers co-authored by Professor Leon O. Chua back in 1988. Since then, the attention that CNNs have attracted in the scientific community has been vast. For instance, there are international workshops dedicated to CNNs and their applications, special issues published in both the International Journal of Circuit Theory and in the IEEE Transactions on Circuits and Systems, and there are also Associate Editors appointed in the latter journal especially for the CNN field. All of this bears witness the importance that CNNs are gaining within the scientific community. Without doubt this book is a primer in the field. Its extensive coverage provides the reader with a very comprehensive view of aspects involved in the theory and applications of cellular neural networks. The authors have done an excellent job merging basic CNN theory, synchronization, spatio temporal phenomena and hardware implementation into eight exquisitely written chapters. Each chapter is thoroughly illustrated with examples and case studies. The result is a book that is not only excellent as a professional reference but also very appealing as a textbook. My view is that students as well professional engineers will find this volume extremely useful.



Cellular Neural Networks


Cellular Neural Networks
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Author : Angela Slavova
language : en
Publisher: Nova Publishers
Release Date : 2004

Cellular Neural Networks written by Angela Slavova and has been published by Nova Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.


This book deals with new theoretical results for studyingCellular Neural Networks (CNNs) concerning its dynamical behavior. Newaspects of CNNs' applications are developed for modelling of somefamous nonlinear partial differential equations arising in biology, genetics, neurophysiology, physics, ecology, etc. The analysis ofCNNs' models is based on the harmonic balance method well known incontrol theory and in the study of electronic oscillators. Suchphenomena as hysteresis, bifurcation and chaos are studied for CNNs.The topics investigated in the book involve several scientificdisciplines, such as dynamical systems, applied mathematics, mathematical modelling, information processing, biology andneurophysiology. The reader will find comprehensive discussion on thesubject as well as rigorous mathematical analyses of networks ofneurons from the view point of dynamical systems. The text is writtenas a textbook for senior undergraduate and graduate students inapplied mathematics. Providing a summary of recent results on dynamicsand modelling of CNNs, the book will also be of interest to allresearchers in the area.



Image Processing Techniques For Cellular Neural Network Hardware


Image Processing Techniques For Cellular Neural Network Hardware
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Author : Kenneth Randall Crounse
language : en
Publisher:
Release Date : 1997

Image Processing Techniques For Cellular Neural Network Hardware written by Kenneth Randall Crounse and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.




Cellular Neural Networks And Their Applications


Cellular Neural Networks And Their Applications
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Author :
language : en
Publisher: World Scientific
Release Date : 2002

Cellular Neural Networks And Their Applications written by and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computer engineering categories.


This volume covers the fundamental theory of Cellular Neural Networks as well as their applications in various fields such as science and technology. It contains all 83 papers of the 7th International Workshop on Cellular Neural Networks and their Applications. The workshop follows a biennial series of six workshops consecutively hosted in Budapest (1990), Munich, Rome, Seville, London and Catania (2000).



Cellular Neural Networks And Visual Computing


Cellular Neural Networks And Visual Computing
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Author : Leon O. Chua
language : en
Publisher: Cambridge University Press
Release Date : 2002-05-30

Cellular Neural Networks And Visual Computing written by Leon O. Chua and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-05-30 with Computers categories.


Cellular Nonlinear/neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed and are paving the way to an analog computing industry. This unique undergraduate level textbook includes many examples and exercises, including CNN simulator and development software accessible via the Internet. It is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. Although its prime focus is on visual computing, the concepts and techniques described in the book will be of great interest to those working in other areas of research including modeling of biological, chemical and physical processes. Leon Chua, co-inventor of the CNN, and Tamás Roska are both highly respected pioneers in the field.



Cellular Neural Networks Dynamics And Modelling


Cellular Neural Networks Dynamics And Modelling
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Author : A. Slavova
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29

Cellular Neural Networks Dynamics And Modelling written by A. Slavova and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Science categories.


Conventional digital computation methods have run into a se rious speed bottleneck due to their serial nature. To overcome this problem, a new computation model, called Neural Networks, has been proposed, which is based on some aspects of neurobiology and adapted to integrated circuits. The increased availability of com puting power has not only made many new applications possible but has also created the desire to perform cognitive tasks which are easily carried out by the human brain. It become obvious that new types of algorithms and/or circuits were necessary to cope with such tasks. Inspiration has been sought from the functioning of the hu man brain, which led to the artificial neural network approach. One way of looking at neural networks is to consider them to be arrays of nonlinear dynamical systems that interact with each other. This book deals with one class of locally coupled neural net works, called Cellular Neural Networks (CNNs). CNNs were intro duced in 1988 by L. O. Chua and L. Yang [27,28] as a novel class of information processing systems, which posseses some of the key fea tures of neural networks (NNs) and which has important potential applications in such areas as image processing and pattern reco gnition. Unfortunately, the highly interdisciplinary nature of the research in CNNs makes it very difficult for a newcomer to enter this important and fasciriating area of modern science.



Spatio Temporal Filtering For Images And Videos


Spatio Temporal Filtering For Images And Videos
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Author : Dung Trung Vo
language : en
Publisher:
Release Date : 2009

Spatio Temporal Filtering For Images And Videos written by Dung Trung Vo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.


Digital images and videos are compressed by removing their spatial, temporal and visual redundancies. Although the encoded signals are more compact and easier for storing or transmitting, the correlation between their pixels is distorted. This causes coding artifacts, which degrade the visual quality of the signals and cause annoyance to the viewers. Compressed images and video sequences should be enhanced prior to being sent to the displaying devices. Previous methods on quality enhancement focused on separately improving the quality of each frames. In this way, the temporal consistency between frames is not guaranteed. Furthermore, characteristics of temporal artifacts are not thoroughly studied and exploited for artifact removal. This dissertation investigates these characteristics and proposes novel methods to reduce both spatial and temporal artifacts. The dissertation covers three main topics in spatio-temporal filtering: quality enhancement, coding and data pruning. The dissertation starts with analyzing the usage of further information from surrounding frames beside the information in the current frames. First, a simple linear temporal filter is studied to investigate the quantization error between the filtered output and its original signal. Reduction of the quantization error verifies that using information from surrounding frames can enhance the quality of the current frame. Next, a non-linear fuzzy spatio-temporal filter is proposed to adapt to the characteristics of the coding artifacts. The dissertation also proposes a novel metric for evaluating the flickering artifacts. For applications on coding, these spatio-temporal filters are used in the encoding loop as the enhanced reference frame. They are then optimized to maximize their performance in artifact reduction. For special cases when filter coefficient for the pixel of interest is set to zero, the filter becomes an estimator or an interpolator. The dissertation extends the discussion for the case of implementing the optimal estimator in the encoding phase using multi reference frames. Finally, an edge-directed interpolator is studied and used in data pruning based compression, which can help reducing the bit-rate of the encoded bit-stream. This interpolator is applied to determine the most effective way in dropping the data before compression and to reconstruct the pruned signal back to its original form.



On Modeling The Spatiotemporal Processing Characteristics Of The Retina


On Modeling The Spatiotemporal Processing Characteristics Of The Retina
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Author : Matthias Wulf
language : en
Publisher: IOS Press
Release Date : 2002

On Modeling The Spatiotemporal Processing Characteristics Of The Retina written by Matthias Wulf and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computational neuroscience categories.




Advances In Intelligent Systems


Advances In Intelligent Systems
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Author : Francesco Carlo Morabito
language : en
Publisher: IOS Press
Release Date : 1997

Advances In Intelligent Systems written by Francesco Carlo Morabito and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.


Intelligent Systems can be defined as systems whose design, mainly based on computational techniques, is supported, in some parts, by operations and processing skills inspired by human reasoning and behaviour. Intelligent Systems must typically operate in a scenario in which non-linearities are the rule and not as a disturbing effect to be corrected. Finally, Intelligent Systems also have to incorporate advanced sensory technology in order to simplify man-machine interactions. Several algorithms are currently the ordinary tools of Intelligent Systems. This book contains a selection of contributions regarding Intelligent Systems by experts in diverse fields. Topics discussed in the book are: Applications of Intelligent Systems in Modelling and Prediction of Environmental Changes, Cellular Neural Networks for NonLinear Filtering, NNs for Signal Processing, Image Processing, Transportation Intelligent Systems, Intelligent Techniques in Power Electronics, Applications in Medicine and Surgery, Hardware Implementation and Learning of NNs.