Handbook of Signal Processing Systems

1. Architectures Managing Editor: Jarmo Takala

   1. Multi-core Systems on Chip

      • Luigi Carro, Mateus Beck Rutzig

      Pages 485-514

   2. DSP Systems using Three-Dimensional (3D) Integration Technology

      • Tong Zhang, Yangyang Pan, Yiran Li

      Pages 515-541

   3. Mixed Signal Techniques

      • Olli Vainio

      Pages 543-571

2. Programming and Simulation Tools Managing Editor: Rainer Leupers

   1. Front Matter

      Pages 573-573

      PDF

   2. C Compilers and Code Optimization for DSPs

      • Björn Franke

      Pages 575-601

   3. Compiling for VLIW DSPs

      • Christoph W. Kessler

      Pages 603-638

   4. Software Compilation Techniques for MPSoCs

      • Rainer Leupers, Weihua Sheng, Jeronimo Castrillon

      Pages 639-678

   5. DSP Instruction Set Simulation

      • Florian Brandner, Nigel Horspool, Andreas Krall

      Pages 679-705

   6. Optimization of Number Representations

      • Wonyong Sung

      Pages 707-738

   7. Intermediate Representations for Simulation and Implementation

      • Jerker Bengtsson

      Pages 739-767

   8. Embedded C for Digital Signal Processing

      • Bryan E. Olivier

      Pages 769-787

3. Design Methods Managing Editor: Ed Deprettere

   1. Front Matter

      Pages 789-789

      PDF

   2. Signal Flow Graphs and Data Flow Graphs

      • Keshab K. Parhi, Yanni Chen

      Pages 791-816

   3. Systolic Arrays

      • Yu Hen Hu, Sun-Yuan Kung

      Pages 817-849

   4. Decidable Signal Processing Dataflow Graphs: Synchronous and Cyclo-Static Dataflow Graphs

      • Soonhoi Ha, Hyunok Oh

      Pages 851-874

   5. Mapping Decidable Signal Processing Graphs into FPGA Implementations

      • Roger Woods

      Pages 875-898

   6. Dynamic and Multidimensional Dataflow Graphs

      • Shuvra S. Bhattacharyya, Ed F. Deprettere, Joachim Keinert

      Pages 899-930

   7. Polyhedral Process Networks

      • Sven Verdoolaege

      Pages 931-965

   8. Kahn Process Networks and a Reactive Extension

      • Marc Geilen, Twan Basten

      Pages 967-1006

   9. Methods and Tools for Mapping Process Networks onto Multi-Processor Systems-On-Chip

      • Iuliana Bacivarov, Wolfgang Haid, Kai Huang, Lothar Thiele

      Pages 1007-1040

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.

• Audio Processing
• Compilers
• DSP
• FPGAs
• Field-Programmable Gate Arrays
• Medical Imaging
• Sensor Networks
• Software-Defined Radio
• System-on-Chip
• coding
• currentjm
• digital signal processing
• image processing
• optimization
• signal processing
• data structures

From the reviews:

“This handbook provides a reference on key topics in the design, analysis, implementation, and optimization of hardware and software for signal processing systems. … We hope that this handbook will serve as a useful reference to engineering practitioners, graduate students, and researchers working in the broad area of signal processing systems. It is also envisioned that selected chapters from the book can be used as core readings for seminar- or project-oriented graduate courses in signal processing systems.” (zbMATH, Vol. 1285, 2014)

• , Dept. of Electrical and, University of Maryland, College Park, USA

  Shuvra S. Bhattacharyya

• Leiden Inst. Advanced Computer Science, Leiden Embedded Research Center, Leiden University, Leiden, Netherlands

  Ed F. Deprettere

• RWTH Aachen University, Aachen, Germany

  Rainer Leupers

• , Department of Computer Systems, Tampere University of Technology, Tampere, Finland

  Jarmo Takala

Shuvra S. Bhattacharyya is a Professor in the Department of Electrical and Computer Engineering University of Maryland at College Park. He holds a joint appointment in the University of Maryland Institute for Advanced Computer Studies (UMIACS. Dr. Bhattacharyya is coauthor or coeditor of five books and the author or coauthor of more than 150 refereed technical articles. Dr. Bhattacharyya is director of the Maryland DSPCAD Research Group. He serves as associate editor for the EURASIP Journal on Embedded Systems, International Journal of Embedded Systems, and Journal of Signal Processing Systems. Dr. Bhattacharyya has served as Chair of the IEEE Signal Processing Society Technical Committee on Design and Implementation of Signal Processing Systems (2008-2009). Dr. Bhattacharyya has been a Nokia Distinguished Lecturer (Finland, 2006) and Fulbright Senior Specialist (Germany, 2005 and Austria, 2009). He has received the NSF Career Award (1998). He has received Best Paper Awards at the International Workshop on Systems, Architectures, Modeling, and Simulation (2008); and IEEE Workshop on Signal Processing Systems (2007).

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