Handbook of Signal Processing Systems
Shuvra S. Bhattacharyya, Ed F. Deprettere, Rainer Leupers, Jarmo Takala
Springer Science & Business Media, Sep 10, 2010 - Technology & Engineering - 1117 pages
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.
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accelerator actor adder algorithm applications architecture arithmetic ASIP bits buffer CGRA channel circuit clock cycle communication complex computing constraints core dataflow decoder delay devices digital signal processing domain DRAM DSP processors dynamic e-mail efficient embedded Embedded Systems encoder example execution FIFO Figure filter fixed-point floating-point FPGA frame frequency function global hardware IEEE implementation input instruction set instruction set simulator integration iteration latency linear loop mapping memory mode modules motion estimation multiple node operations optimization output parallel parameters performance pipelining pixels platform power consumption Proc process network quantization reconfigurable register allocation representation resource result sample scheduling Section sensor shown in Fig Signal Processing Systems SIMD simulation software pipelining specific Springer Science+Business Media static superscalar synchronization systolic array target techniques tion tokens transformation typically variable vector video coding VLIW word-length Xilinx