Analog Vlsi Integration Of Massive Parallel Signal Processing Systems

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Analog VLSI Integration of Massive Parallel Signal Processing Systems

Author : Peter Kinget
Publisher : Springer Science & Business Media
ISBN 13 : 1475725809
Total Pages : 235 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Analog VLSI Integration of Massive Parallel Signal Processing Systems by : Peter Kinget

Download or read book Analog VLSI Integration of Massive Parallel Signal Processing Systems written by Peter Kinget and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

VLSI Signal Processing Technology

Author : Magdy A. Bayoumi
Publisher : Springer Science & Business Media
ISBN 13 : 1461527767
Total Pages : 242 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis VLSI Signal Processing Technology by : Magdy A. Bayoumi

Download or read book VLSI Signal Processing Technology written by Magdy A. Bayoumi and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first in a set of forthcoming books focussed on state-of-the-art development in the VLSI Signal Processing area. It is a response to the tremendous research activities taking place in that field. These activities have been driven by two factors: the dramatic increase in demand for high speed signal processing, especially in consumer elec tronics, and the evolving microelectronic technologies. The available technology has always been one of the main factors in determining al gorithms, architectures, and design strategies to be followed. With every new technology, signal processing systems go through many changes in concepts, design methods, and implementation. The goal of this book is to introduce the reader to the main features of VLSI Signal Processing and the ongoing developments in this area. The focus of this book is on: • Current developments in Digital Signal Processing (DSP) pro cessors and architectures - several examples and case studies of existing DSP chips are discussed in Chapter 1. • Features and requirements of image and video signal processing architectures - both applications specific integrated circuits (ASICs) and programmable image processors are studied in Chapter 2. • New market areas for signal processing - especially in consumer electronics such as multimedia, teleconferencing, and movie on demand. • Impact of arithmetic circuitry on the performance of DSP pro cessors - several topics are discussed in Chapter 3 such as: number representation, arithmetic algorithms and circuits, and implementa tion.

Cellular Neural Networks and Analog VLSI

Author : Leon Chua
Publisher : Springer Science & Business Media
ISBN 13 : 1475747306
Total Pages : 105 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Cellular Neural Networks and Analog VLSI by : Leon Chua

Download or read book Cellular Neural Networks and Analog VLSI written by Leon Chua and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Power Trade-offs and Low-Power in Analog CMOS ICs

Author : Mihai A.T. Sanduleanu
Publisher : Springer Science & Business Media
ISBN 13 : 0306481405
Total Pages : 228 pages
Book Rating : 4.3/5 (64 download)

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Book Synopsis Power Trade-offs and Low-Power in Analog CMOS ICs by : Mihai A.T. Sanduleanu

Download or read book Power Trade-offs and Low-Power in Analog CMOS ICs written by Mihai A.T. Sanduleanu and published by Springer Science & Business Media. This book was released on 2005-12-30 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Trade-Offs in Analog Circuit Design

Author : Chris Toumazou
Publisher : Springer Science & Business Media
ISBN 13 : 0306476738
Total Pages : 1048 pages
Book Rating : 4.3/5 (64 download)

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Book Synopsis Trade-Offs in Analog Circuit Design by : Chris Toumazou

Download or read book Trade-Offs in Analog Circuit Design written by Chris Toumazou and published by Springer Science & Business Media. This book was released on 2007-05-08 with total page 1048 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Neural Information Processing and VLSI

Author : Bing J. Sheu
Publisher : Springer Science & Business Media
ISBN 13 : 1461522471
Total Pages : 569 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Neural Information Processing and VLSI by : Bing J. Sheu

Download or read book Neural Information Processing and VLSI written by Bing J. Sheu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 been especially 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.

Parallel Processing on VLSI Arrays

Author : Josef A. Nossek
Publisher : Springer Science & Business Media
ISBN 13 : 1461540364
Total Pages : 136 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Parallel Processing on VLSI Arrays by : Josef A. Nossek

Download or read book Parallel Processing on VLSI Arrays written by Josef A. Nossek and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Guest Editor: JOSEF A. NOSSEK This is a special issue of the Journal of VLSI Signal Processing comprising eight contributions invited for publica tion on the basis of novel work presented in a special session on "Parallel Processing on VLSI Arrays" at the International Symposium on Circuits and Systems (ISCAS) held in New Orleans in May 1990. Massive parallelism to cope with high-speed requirements stemming from real-time applications and the restrictions in architectural and circuit design, such as regularity and local connectedness, brought about by the VLSI technology are the key questions addressed in these eight papers. They can be grouped into three subsections elaborating on: • Simulation of continuous physical systems, i. e. , numerically solving partial differential equations. • Neural architectures for image processing and pattern recognition. • Systolic architectures for implementing regular and irregular algorithms in VLSI technology. The paper by A. Fettweis and O. Nitsche advocates a signal processing approach for the numerical integration of partial differential equations (PD Es). It is based on the principles of multidimensional wave digital filters (MDWDFs) thereby preserving the passivity of energy dissipating physical systems. It is particularly suited for systems ofPDEs involving time and finite propagation speed. The basic ideas are explained using Maxwell's equa tions as a vehicle for the derivation of a multidimensional equivalent circuit representing the spatially infinitely extended arrangement with only very few circuit elements.

VLSI Digital Signal Processing Systems

Author : Keshab K. Parhi
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 824 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis VLSI Digital Signal Processing Systems by : Keshab K. Parhi

Download or read book VLSI Digital Signal Processing Systems written by Keshab K. Parhi and published by Wiley-Interscience. This book was released on 1999 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital audio, speech recognition, cable modems, radar, high-definition television-these are but a few of the modern computer and communications applications relying on digital signal processing (DSP) and the attendant application-specific integrated circuits (ASICs). As information-age industries constantly reinvent ASIC chips for lower power consumption and higher efficiency, there is a growing need for designers who are current and fluent in VLSI design methodologies for DSP. Enter VLSI Digital Signal Processing Systems-a unique, comprehensive guide to performance optimization techniques in VLSI signal processing. Based on Keshab Parhi's highly respected and popular graduate-level courses, this volume is destined to become the standard text and reference in the field. This text integrates VLSI architecture theory and algorithms, addresses various architectures at the implementation level, and presents several approaches to analysis, estimation, and reduction of power consumption. Throughout this book, Dr. Parhi explains how to design high-speed, low-area, and low-power VLSI systems for a broad range of DSP applications. He covers pipelining extensively as well as numerous other techniques, from parallel processing to scaling and roundoff noise computation. Readers are shown how to apply all techniques to improve implementations of several DSP algorithms, using both ASICs and off-the-shelf programmable digital signal processors. The book features hundreds of graphs illustrating the various DSP algorithms, examples based on digital filters and transforms clarifying key concepts, and interesting end-of-chapter exercises that help match techniques with applications. In addition, the abundance of readily available techniques makes this an extremely useful resource for designers of DSP systems in wired, wireless, or multimedia communications. The material can be easily adopted in new courses on either VLSI digital signal processing architectures or high-performance VLSI system design. An invaluable reference and practical guide to VLSI digital signal processing. A tremendous source of optimization techniques indispensable in modern VLSI signal processing, VLSI Digital Signal Processing Systems promises to become the standard in the field. It offers a rich training ground for students of VLSI design for digital signal processing and provides immediate access to state-of-the-art, proven techniques for designers of DSP applications-in wired, wireless, or multimedia communications. Topics include: * Transformations for high speed using pipelining, retiming, and parallel processing techniques * Power reduction transformations for supply voltage reduction as well as for strength or capacitance reduction * Area reduction using folding techniques * Strategies for arithmetic implementation * Synchronous, wave, and asynchronous pipelining * Design of programmable DSPs. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

SOI Design

Author : Andrew Marshall
Publisher : Springer Science & Business Media
ISBN 13 : 0306481618
Total Pages : 392 pages
Book Rating : 4.3/5 (64 download)

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Book Synopsis SOI Design by : Andrew Marshall

Download or read book SOI Design written by Andrew Marshall and published by Springer Science & Business Media. This book was released on 2007-05-08 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title introduces state-of-the-art design principles for SOI circuit design, and is primarily concerned with circuit-related issues. It considers SOI material in terms of implementation that is promising or has been used elsewhere in circuit development, with historical perspective where appropriate.

Cellular Neural Networks

Author : Martin Hänggi
Publisher : Springer Science & Business Media
ISBN 13 : 1475732201
Total Pages : 155 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Cellular Neural Networks by : Martin Hänggi

Download or read book Cellular Neural Networks written by Martin Hänggi and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 classification problems. 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

Analog VLSI Neural Networks

Author : Yoshiyasu Takefuji
Publisher : Springer Science & Business Media
ISBN 13 : 1461535824
Total Pages : 131 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Analog VLSI Neural Networks by : Yoshiyasu Takefuji

Download or read book Analog VLSI Neural Networks written by Yoshiyasu Takefuji and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together in one place important contributions and state-of-the-art research in the rapidly advancing area of analog VLSI neural networks. The book serves as an excellent reference, providing insights into some of the most important issues in analog VLSI neural networks research efforts.

Cellular Neural Networks and Their Applications

Author :
Publisher : World Scientific
ISBN 13 : 9789812776792
Total Pages : 704 pages
Book Rating : 4.7/5 (767 download)

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Book Synopsis Cellular Neural Networks and Their Applications by :

Download or read book Cellular Neural Networks and Their Applications written by and published by World Scientific. This book was released on 2002 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).

Introduction to Digital Signal Processing Using Matlab and Scilab

Author : Atique Mohd. & Bhagat Amol
Publisher : Vikas Publishing House
ISBN 13 : 9325984318
Total Pages : 262 pages
Book Rating : 4.3/5 (259 download)

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Book Synopsis Introduction to Digital Signal Processing Using Matlab and Scilab by : Atique Mohd. & Bhagat Amol

Download or read book Introduction to Digital Signal Processing Using Matlab and Scilab written by Atique Mohd. & Bhagat Amol and published by Vikas Publishing House. This book was released on with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Digital Signal Processing written for the undergraduate and post graduate students of Electrical, Electronics, Computer Science & Engineering and Information Technology meets the syllabus requirements of most Indian Universities. This covers basic concepts of digital signal processing which are necessary for the implementation of signal processing systems and applications. Elaboration of basic digital concepts using MATLAB and Scilab codes is provided for practical knowledge of the students. Some topics on classical/analytical Signal Processing required for various national level examinations like GATE etc. have also been covered.

Analog Design Issues in Digital VLSI Circuits and Systems

Author : Juan J. Becerra
Publisher : Springer Science & Business Media
ISBN 13 : 1461561019
Total Pages : 153 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Analog Design Issues in Digital VLSI Circuits and Systems by : Juan J. Becerra

Download or read book Analog Design Issues in Digital VLSI Circuits and Systems written by Juan J. Becerra and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analog Design Issues in Digital VLSI Circuits and Systems brings together in one place important contributions and up-to-date research results in this fast moving area. Analog Design Issues in Digital VLSI Circuits and Systems serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Modeling and Simulation of Mixed Analog-Digital Systems

Author : B. Antao
Publisher : Springer Science & Business Media
ISBN 13 : 1461314054
Total Pages : 131 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Modeling and Simulation of Mixed Analog-Digital Systems by : B. Antao

Download or read book Modeling and Simulation of Mixed Analog-Digital Systems written by B. Antao and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling and Simulation of Mixed Analog-Digital Systems brings together in one place important contributions and state-of-the-art research results in this rapidly advancing area. Modeling and Simulation of Mixed Analog-Digital Systems serves as an excellent reference, providing insight into some of the most important issues in the field.

Parallel Algorithms and Architectures for DSP Applications

Author : Magdy A. Bayoumi
Publisher : Springer Science & Business Media
ISBN 13 : 146153996X
Total Pages : 289 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Parallel Algorithms and Architectures for DSP Applications by : Magdy A. Bayoumi

Download or read book Parallel Algorithms and Architectures for DSP Applications written by Magdy A. Bayoumi and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past few years, the demand for high speed Digital Signal Proces sing (DSP) has increased dramatically. New applications in real-time image processing, satellite communications, radar signal processing, pattern recogni tion, and real-time signal detection and estimation require major improvements at several levels; algorithmic, architectural, and implementation. These perfor mance requirements can be achieved by employing parallel processing at all levels. Very Large Scale Integration (VLSI) technology supports and provides a good avenue for parallelism. Parallelism offers efficient sohitions to several problems which can arise in VLSI DSP architectures such as: 1. Intermediate data communication and routing: several DSP algorithms, such as FFT, involve excessive data routing and reordering. Parallelism is an efficient mechanism to minimize the silicon cost and speed up the pro cessing time of the intermediate middle stages. 2. Complex DSP applications: the required computation is almost doubled. Parallelism will allow two similar channels processing at the same time. The communication between the two channels has to be minimized. 3. Applicatilm specific systems: this emerging approach should achieve real-time performance in a cost-effective way. 4. Testability and fault tolerance: reliability has become a required feature in most of DSP systems. To achieve such property, the involved time overhead is significant. Parallelism may be the solution to maintain ac ceptable speed performance.

Artificial Neural Networks

Author : Joao Luis Garcia Rosa
Publisher : BoD – Books on Demand
ISBN 13 : 9535127047
Total Pages : 416 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Artificial Neural Networks by : Joao Luis Garcia Rosa

Download or read book Artificial Neural Networks written by Joao Luis Garcia Rosa and published by BoD – Books on Demand. This book was released on 2016-10-19 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of simulating the brain was the goal of many pioneering works in Artificial Intelligence. The brain has been seen as a neural network, or a set of nodes, or neurons, connected by communication lines. Currently, there has been increasing interest in the use of neural network models. This book contains chapters on basic concepts of artificial neural networks, recent connectionist architectures and several successful applications in various fields of knowledge, from assisted speech therapy to remote sensing of hydrological parameters, from fabric defect classification to application in civil engineering. This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique.