Analog Vlsi Integration Of Massive Parallel Signal Processing Systems
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Analog Vlsi Integration Of Massive Parallel Signal Processing Systems
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Author : Peter Kinget
language : en
Publisher: Springer
Release Date : 1997
Analog Vlsi Integration Of Massive Parallel Signal Processing Systems written by Peter Kinget and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.
When comparing conventional computing architectures to the architectures of biological neural systems, there are several striking differences. Conventional computers use a low number of high performance computing elements that are programmed with algorithms to perform tasks in a time sequenced way; they are very successful in administrative applications, in scientific simulations, and in certain signal processing applications. However, the biological systems still significantly outperform conventional computers in perception tasks, sensory data processing and motory control. Biological systems use a completely different computing paradigm: a massive network of simple processors that are (adaptively) interconnected and operate in parallel. This massively parallel processing seems the key aspect to their success. The advent of VLSI technologies has provided us with the technological means to implement very complicated systems on a silicon die. Analog VLSI circuits in standard digital technologies open the way for the implementation of massively parallel analog signal processing systems for sensory signal processing applications and for perception tasks. Analog VLSI Integration of Massive Parallel Processing Systems describes in depth the theory and practice of designing these massively parallel analog signal processing systems. Techniques are described which overcome the device and transistor mismatches which limit performance of the system. The book also shows how such a system can be efficiently implemented using cellular Neural Networks. Analog VLSI Integration of Massive Parallel Processing Systems is essential reading for practicing analog design engineers and researchers in the field. It is also suitable as a text for an advanced course on the subject.
Analog Vlsi Integration Of Massive Parallel Signal Processing Systems
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Author : Peter Kinget
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Analog Vlsi Integration Of Massive Parallel Signal Processing Systems written by Peter Kinget 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 Technology & Engineering categories.
When comparing conventional computing architectures to the architectures of biological neural systems, we find several striking differences. Conventional computers use a low number of high performance computing elements that are programmed with algorithms to perform tasks in a time sequenced way; they are very successful in administrative applications, in scientific simulations, and in certain signal processing applications. However, the biological systems still significantly outperform conventional computers in perception tasks, sensory data processing and motory control. Biological systems use a completely dif ferent computing paradigm: a massive network of simple processors that are (adaptively) interconnected and operate in parallel. Exactly this massively parallel processing seems the key aspect to their success. On the other hand the development of VLSI technologies provide us with technological means to implement very complicated systems on a silicon die. Especially analog VLSI circuits in standard digital technologies open the way for the implement at ion of massively parallel analog signal processing systems for sensory signal processing applications and for perception tasks. In chapter 1 the motivations behind the emergence of the analog VLSI of massively parallel systems is discussed in detail together with the capabilities and !imitations of VLSI technologies and the required research and developments. Analog parallel signal processing drives for the development of very com pact, high speed and low power circuits. An important technologicallimitation in the reduction of the size of circuits and the improvement of the speed and power consumption performance is the device inaccuracies or device mismatch.
Cellular Neural Networks And Analog Vlsi
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Author : Leon Chua
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Cellular Neural Networks And Analog Vlsi written by Leon Chua 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 2013-03-09 with Technology & Engineering categories.
Cellular Neural Networks and Analog VLSI brings together in one place important contributions and up-to-date research results in this fast moving area. Cellular Neural Networks and Analog VLSI serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
Trade Offs In Analog Circuit Design
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Author : Chris Toumazou
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-05-08
Trade Offs In Analog Circuit Design written by Chris Toumazou 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 2007-05-08 with Technology & Engineering categories.
As the frequency of communication systems increases and the dimensions of transistors are reduced, more and more stringent performance requirements are placed on analog circuits. This is a trend that is bound to continue for the foreseeable future and while it does, understanding performance trade-offs will constitute a vital part of the analog design process. It is the insight and intuition obtained from a fundamental understanding of performance conflicts and trade-offs, that ultimately provides the designer with the basic tools necessary for effective and creative analog design. Trade-offs in Analog Circuit Design, which is devoted to the understanding of trade-offs in analog design, is quite unique in that it draws together fundamental material from, and identifies interrelationships within, a number of key analog circuits. The book covers ten subject areas: Design methodology, Technology, General Performance, Filters, Switched Circuits, Oscillators, Data Converters, Transceivers, Neural Processing, and Analog CAD. Within these subject areas it deals with a wide diversity of trade-offs ranging from frequency-dynamic range and power, gain-bandwidth, speed-dynamic range and phase noise, to tradeoffs in design for manufacture and IC layout. The book has by far transcended its original scope and has become both a designer's companion as well as a graduate textbook. An important feature of this book is that it promotes an intuitive approach to understanding analog circuits by explaining fundamental relationships and, in many cases, providing practical illustrative examples to demonstrate the inherent basic interrelationships and trade-offs. Trade-offs in Analog Circuit Design draws together 34 contributions from some of the world's most eminent analog circuits-and-systems designers to provide, for the first time, a comprehensive text devoted to a very important and timely approach to analog circuit design.
Power Trade Offs And Low Power In Analog Cmos Ics
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Author : Mihai A.T. Sanduleanu
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-30
Power Trade Offs And Low Power In Analog Cmos Ics written by Mihai A.T. Sanduleanu 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 2005-12-30 with Technology & Engineering categories.
This volume concerns power, noise and accuracy in CMOS Analog IC Design. The authors show that power, noise and accuracy should be treated in a unitary way, as the three are inter-related. The book discusses all possible practical power-related specs at circuit and architecture level.
Cellular Neural Networks
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Author : Martin Hänggi
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Cellular Neural Networks written by Martin Hänggi 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 2013-03-09 with Technology & Engineering categories.
Cellular Neural Networks (CNNs) constitute a class of nonlinear, recurrent and locally coupled arrays of identical dynamical cells that operate in parallel. ANALOG chips are being developed for use in applications where sophisticated signal processing at low power consumption is required. Signal processing via CNNs only becomes efficient if the network is implemented in analog hardware. In view of the physical limitations that analog implementations entail, robust operation of a CNN chip with respect to parameter variations has to be insured. By far not all mathematically possible CNN tasks can be carried out reliably on an analog chip; some of them are inherently too sensitive. This book defines a robustness measure to quantify the degree of robustness and proposes an exact and direct analytical design method for the synthesis of optimally robust network parameters. The method is based on a design centering technique which is generally applicable where linear constraints have to be satisfied in an optimum way. Processing speed is always crucial when discussing signal-processing devices. In the case of the CNN, it is shown that the setting time can be specified in closed analytical expressions, which permits, on the one hand, parameter optimization with respect to speed and, on the other hand, efficient numerical integration of CNNs. Interdependence between robustness and speed issues are also addressed. Another goal pursued is the unification of the theory of continuous-time and discrete-time systems. By means of a delta-operator approach, it is proven that the same network parameters can be used for both of these classes, even if their nonlinear output functions differ. More complex CNN optimization problems that cannot be solved analytically necessitate resorting to numerical methods. Among these, stochastic optimization techniques such as genetic algorithms prove their usefulness, for example in image classificationproblems. Since the inception of the CNN, the problem of finding the network parameters for a desired task has been regarded as a learning or training problem, and computationally expensive methods derived from standard neural networks have been applied. Furthermore, numerous useful parameter sets have been derived by intuition. In this book, a direct and exact analytical design method for the network parameters is presented. The approach yields solutions which are optimum with respect to robustness, an aspect which is crucial for successful implementation of the analog CNN hardware that has often been neglected. `This beautifully rounded work provides many interesting and useful results, for both CNN theorists and circuit designers.' Leon O. Chua
Soi Design
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Author : Andrew Marshall
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-05-08
Soi Design written by Andrew Marshall 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 2007-05-08 with Technology & Engineering categories.
Silicon on insulator (SOI) is a very attractive technology for large volume integrated circuit production and is particularly good for low-voltage, low-power and high-speed digital systems. SOI has also proved to be effective in various niche and growing markets. IC processes based on SOI are known to reduce susceptibility to radiation, and have been used for many years in high radiation environments. SOI is also used for power integrated circuits, micro-electromechanical systems (MEMS), integrated optics and high temperature applications. SOI offers numerous opportunities and challenges in the design of low-voltage and low-power CMOS circuits for both analog and digital applications. The benefits of this technology for digital applications have been clear for many years. The exploitation of SOI for analog and memory subsystems, meanwhile, has lagged behind digital developments, but is now beginning to attain a level of parity, with circuits that are in some cases improved over their bulk counterparts. SOI is suitable for digital, memory and analog designs, although it is not necessarily straightforward to convert circuits developed for bulk processes into SOI. Memory and most analog circuits either interface to, or are incorporated within, a digital environment. The design of analog circuits on SOI, in a mixed signal environment, and memory design in an embedded memory application are discussed. Various processes are examined and comparison is made between bulk and SOI circuit design concepts. SOI is the process of choice in various RF applications, particularly when digital circuitry is required. SOI Design: Analog Memory and Digital Techniques examines some of the basics, but is primarily concerned with circuit related issues. Static and dynamic logic circuit design has previously been studied in some detail, however, memory design for SOI and analog circuit designs have hitherto been examined onlyin a piecemeal manner. SOI material is considered here in terms of implementation that are promising or have been used elsewhere in circuit development, with historical perspective where appropriate. SOI Design: Analog, Memory and Digital Techniques will be of interest to circuit design engineers. It is also intended as a general graduate level text to introduce state of the art design principles for SOI circuit design.
Analog Vlsi Integration Of Parallel Signal Processing Systems
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Author : Peter Kinget
language : en
Publisher:
Release Date : 1996
Analog Vlsi Integration Of Parallel Signal Processing Systems written by Peter Kinget and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.
Neural Information Processing And Vlsi
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Author : Bing J. Sheu
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Neural Information Processing And Vlsi written by Bing J. Sheu 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 Technology & Engineering categories.
Neural Information Processing and VLSI provides a unified treatment of this important subject for use in classrooms, industry, and research laboratories, in order to develop advanced artificial and biologically-inspired neural networks using compact analog and digital VLSI parallel processing techniques. Neural Information Processing and VLSI systematically presents various neural network paradigms, computing architectures, and the associated electronic/optical implementations using efficient VLSI design methodologies. Conventional digital machines cannot perform computationally-intensive tasks with satisfactory performance in such areas as intelligent perception, including visual and auditory signal processing, recognition, understanding, and logical reasoning (where the human being and even a small living animal can do a superb job). Recent research advances in artificial and biological neural networks have established an important foundation for high-performance information processing with more efficient use of computing resources. The secret lies in the design optimization at various levels of computing and communication of intelligent machines. Each neural network system consists of massively paralleled and distributed signal processors with every processor performing very simple operations, thus consuming little power. Large computational capabilities of these systems in the range of some hundred giga to several tera operations per second are derived from collectively parallel processing and efficient data routing, through well-structured interconnection networks. Deep-submicron very large-scale integration (VLSI) technologies can integrate tens of millions of transistors in a single silicon chip for complex signal processing and information manipulation. The book is suitable for those interested in efficient neurocomputing as well as those curious about neural network system applications. It has beenespecially prepared for use as a text for advanced undergraduate and first year graduate students, and is an excellent reference book for researchers and scientists working in the fields covered.
Analog Circuit Design
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Author : Herman Casier
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-03-19
Analog Circuit Design written by Herman Casier 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 2008-03-19 with Technology & Engineering categories.
Analog Circuit Design is based on the yearly Advances in Analog Circuit Design workshop. The aim of the workshop is to bring together designers of advanced analogue and RF circuits for the purpose of studying and discussing new possibilities and future developments in this field. Selected topics for AACD 2007 are: (1) Sensors, Actuators and Power Drivers for the Automotive and Industrial Environment (Tue 27 March) - Chaired by Herman Casier, AMI Semiconductor Fellow, Belgium; (2) Integrated PA's from Wireline to RF (Wed 28 March) - Chaired by Prof. Michiel Steyaert, Catholic University, Leuven; (3) Very High Frequency Front Ends (Thu 29 March) - Chaired by Prof. Arthur van Roermund, Eindhoven University of Technology.