Application Specific Processors

Author:   Earl E. Swartzlander Jr.
Publisher:   Springer
Edition:   1997 ed.
Volume:   380
ISBN:  

9780792397922


Pages:   254
Publication Date:   30 November 1996
Format:   Hardback
Availability:   In Print   Availability explained
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Application Specific Processors


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Overview

Written for engineers who are developing specialized systems (application specific systems), this text consists of eight chapters which provide a mixture of techniques and examples that relate to application specific processing. Traditionally, most high performance signal processors have been realized with application specific processors. The explanation is that application specific processors can be tailored to exactly match the (usually very demanding) application requirements. The result is that no ""processing power"" is wasted for unnecessary capabilities and maximum performance is achieved. A disadvantage is that such processors have been expensive to design since each is a unique design that is customized to the specific application. In the last decade, computer-aided design systems have been developed to facilitate the development of application specific integrated circuits. The success of such ASIC CAD systems suggests that it should be possible to streamline the process of application specific processor design. The inclusion of techniques in this text is expected to suggest additional research and to assist those who are faced with the requirement to implement efficient application specific processors. The examples illustrate the application of the concepts and demonstrate the efficiency that can be achieved via application specific processors. The first five chapters relate to specific arithmetic which often is the key to achieving high performance in application specific processors. The next two chapters focus on signal processing systems, and the final chapter examines the interconnection of possibly disparate elements to create systems.

Full Product Details

Author:   Earl E. Swartzlander Jr.
Publisher:   Springer
Imprint:   Springer
Edition:   1997 ed.
Volume:   380
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.50cm
Weight:   1.230kg
ISBN:  

9780792397922


ISBN 10:   0792397924
Pages:   254
Publication Date:   30 November 1996
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Variable-Precision, Interval Arithmetic Processors.- 1.1 Introduction.- 1.2 Variable-Precision, Interval Arithmetic.- 1.3 Previous Research.- 1.4 Processor Implementation.- 1.5 Area, Delay and Execution Time Estimates.- 1.6 Variable-Precision, Interval Arithmetic Algorithms.- 1.7 Conclusions.- 2. Modeling the Power Consumption of CMOS Arithmetic Elements.- 2.1 Introduction.- 2.2 Previous Research.- 2.3 Parallel Adders.- 2.4 Parallel Multipliers.- 2.5 Conclusions.- 3. Fault Tolerant Arithmetic.- 3.1 Introduction.- 3.2 Previous Research.- 3.3 The Time Shared TMR Technique.- 3.4 VLSI Designs and Performance Evaluations.- 3.5 Conclusions.- 4. Low Power Digital Multipliers.- 4.1 Introduction.- 4.2 Related Research.- 4.3 Digital Multipliers.- 4.4 CMOS Multipliers.- 4.5 Combinational Self-Timed Multipliers with Bypassing Logic.- 4.6 Results.- 5. A Unified View of CORDIC Processor Design.- 5.1 Introduction.- 5.2 The CORDIC Algorithm.- 5.3 Combined Architectures.- 5.4 Pipelined Architectures.- 5.5 Architectural Evaluation.- 5.6 Design Guidelines and Conclusions.- 6. Multidimensional Systolic Arrays for Computing Discrete Fourier Transforms and Discrete Cosine Transforms.- 6.1 Introduction.- 6.2 Multidimensional DFT and DCT by Multidimensional Systolic Array.- 6.3 Fast Fourier Transform Computation by Multidimensional Systolic Array.- 6.4 Prime-Factor Decomposed Computation by Multidimensional Systolic Array.- 6.5 Conclusions.- 7. Parallel Implementation of a Fast Third-Order Volterra Filtering Algorithm.- 7.1 Introduction.- 7.2 Volterra Filtering in the Time and Frequency Domain.- 7.3 Parallel Implementation on DSPS.- 7.4 Performance Evaluation.- 7.5 Applications to Nonlinear Communication Channels.- 7.6 Future Research.- 8. Design and Implementation of an Interface Control Unit for Rapid Prototyping.- 8.1 Introduction.- 8.2 Related Work.- 8.3 Interface Control Unit.- 8.4 ICU Protocol.- 8.5 Hardware Design of the ICU.- 8.6 Conclusions.

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