Handbook of Signal Processing Systems

1. Front Matter

   Pages i-xxxviii

   PDF

2. Applications Managing Editor: Shuvra Bhattacharyya

   1. Front Matter

      Pages 1-1

      PDF

   2. Signal Processing for Control

      • William S. Levine

      Pages 3-22

   3. Digital Signal Processing in Home Entertainment

      • Konstantinos Konstantinides

      Pages 23-41

   4. MPEG Reconfigurable Video Coding

      • Marco Mattavelli, Jörn W. Janneck, Mickaël Raulet

      Pages 43-67

   5. Signal Processing for High-Speed Links

      • Naresh Shanbhag, Andrew Singer, Hyeon-min Bae

      Pages 69-101

   6. Video Compression

      • Yu-Han Chen, Liang-Gee Chen

      Pages 103-121

   7. Low-power Wireless Sensor Network Platforms

      • Jukka Suhonen, Mikko Kohvakka, Ville Kaseva, Timo D. Hämäläinen, Marko Hännikäinen

      Pages 123-160

   8. Signal Processing for Cryptography and Security Applications

      • Miroslav Knežević, Lejla Batina, Elke De Mulder, Junfeng Fan, Benedikt Gierlichs, Yong Ki Lee et al.

      Pages 161-177

   9. High-Energy Physics

      • Anthony Gregerson, Michael J. Schulte, Katherine Compton

      Pages 179-211

   10. Medical Image Processing

       • Raj Shekhar, Vivek Walimbe, William Plishker

       Pages 213-242

   11. Signal Processing for Audio HCI

       • Dmitry N. Zotkin, Ramani Duraiswami

       Pages 243-265

   12. Distributed Smart Cameras and Distributed Computer Vision

       • Marilyn Wolf, Jason Schlessman

       Pages 267-280

3. Architectures Managing Editor: Jarmo Takala

   1. Front Matter

      Pages 281-281

      PDF

   2. Arithmetic

      • Oscar Gustafsson, Lars Wanhammar

      Pages 283-327

   3. Application-Specific Accelerators for Communications

      • Yang Sun, Kiarash Amiri, Michael Brogioli, Joseph R. Cavallaro

      Pages 329-362

   4. FPGA-based DSP

      • John McAllister

      Pages 363-392

   5. General-Purpose DSP Processors

      • Jarmo Takala

      Pages 393-413

   6. Application Specific Instruction Set DSP Processors

      • Dake Liu

      Pages 415-447

   7. Coarse-Grained Reconfigurable Array Architectures

      • Bjorn De Sutter, Praveen Raghavan, Andy Lambrechts

      Pages 449-484

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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