Handbook of signal processing systems
著者
書誌事項
Handbook of signal processing systems
Springer, c2010
大学図書館所蔵 全8件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
It gives me immense pleasure to introduce this timely handbook to the research/- velopment communities in the ?eld of signal processing systems (SPS). This is the ?rst of its kind and represents state-of-the-arts coverage of research in this ?eld. The driving force behind information technologies (IT) hinges critically upon the major advances in both component integration and system integration. The major breakthrough for the former is undoubtedly the invention of IC in the 50's by Jack S. Kilby, the Nobel Prize Laureate in Physics 2000. In an integrated circuit, all components were made of the same semiconductor material. Beginning with the pocket calculator in 1964, there have been many increasingly complex applications followed. In fact, processing gates and memory storage on a chip have since then grown at an exponential rate, following Moore's Law. (Moore himself admitted that Moore's Law had turned out to be more accurate, longer lasting and deeper in impact than he ever imagined. ) With greater device integration, various signal processing systems have been realized for many killer IT applications. Further breakthroughs in computer sciences and Internet technologies have also catalyzed large-scale system integration. All these have led to today's IT revolution which has profound impacts on our lifestyle and overall prospect of humanity. (It is hard to imagine life today without mobiles or Internets!) The success of SPS requires a well-concerted integrated approach from mul- ple disciplines, such as device, design, and application.
目次
Applications Managing Editor: Shuvra Bhattacharyya.- Signal Processing for Control.- Digital Signal Processing in Home Entertainment.- MPEG Reconfigurable Video Coding.- Signal Processing for High-Speed Links.- Video Compression.- Low-power Wireless Sensor Network Platforms.- Signal Processing for Cryptography and Security Applications.- High-Energy Physics.- Medical Image Processing.- Signal Processing for Audio HCI.- Distributed Smart Cameras and Distributed Computer Vision.- Architectures Managing Editor: Jarmo Takala.- Arithmetic.- Application-Specific Accelerators for Communications.- FPGA-based DSP.- General-Purpose DSP Processors.- Application Specific Instruction Set DSP Processors.- Coarse-Grained Reconfigurable Array Architectures.- Multi-core Systems on Chip.- DSP Systems using Three-Dimensional (3D) Integration Technology.- Mixed Signal Techniques.- Programming and Simulation Tools Managing Editor: Rainer Leupers.- C Compilers and Code Optimization for DSPs.- Compiling for VLIW DSPs.- Software Compilation Techniques for MPSoCs.- DSP Instruction Set Simulation.- Optimization of Number Representations.- Intermediate Representations for Simulation and Implementation.- Embedded C for Digital Signal Processing.- Design Methods Managing Editor: Ed Deprettere.- Signal Flow Graphs and Data Flow Graphs.- Systolic Arrays.- Decidable Signal Processing Dataflow Graphs: Synchronous and Cyclo-Static Dataflow Graphs.- Mapping Decidable Signal Processing Graphs into FPGA Implementations.- Dynamic and Multidimensional Dataflow Graphs.- Polyhedral Process Networks.- Kahn Process Networks and a Reactive Extension.- Methods and Tools for Mapping Process Networks onto Multi-Processor Systems-On-Chip.- Integrated Modeling using Finite State Machines and Dataflow Graphs.
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