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Signal Flow Graphs and Data Flow Graphs

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Handbook of Signal Processing Systems

Abstract

Signal processing programs differ from the traditional computing programs in the sense that these programs are referred to as non-terminating programs. In other words, input samples are processed periodically (typically with a certain iteration period or sampling period) and the tasks are repeated infinite number of times. A traditional dependence graph representation of such a program would require infinite number of nodes. Signal flow graphs and data flow graphs are powerful representations of signal processing algorithms and signal processing systems because these can represent the operations using a finite number of nodes.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Minnesota, 200 Union St. S.E., Minneapolis, MN, 55455, USA

    Keshab K. Parhi

  2. Marvell Semiconductor Inc., 5488 Marvell Lane, Santa Clara, CA, 95054, USA

    Yanni Chen

Authors
  1. Keshab K. Parhi
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  2. Yanni Chen
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Corresponding author

Correspondence to Keshab K. Parhi .

Editor information

Editors and Affiliations

  1. , Dept. of Electrical and, University of Maryland, A. V. Williams Bldg. 2311, College Park, 20742, Maryland, USA

    Shuvra S. Bhattacharyya

  2. Leiden Inst. Advanced Computer Science, Leiden Embedded Research Center, Leiden University, Niels Bohrweg 1, Leiden, 2333 CA, Netherlands

    Ed F. Deprettere

  3. RWTH Aachen University, Templergraben 55, Aachen, 52056, Germany

    Rainer Leupers

  4. , Department of Computer Systems, Tampere University of Technology, Korkeakoulunkatu 1, Tampere, 33720, Finland

    Jarmo Takala

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Parhi, K.K., Chen, Y. (2010). Signal Flow Graphs and Data Flow Graphs. In: Bhattacharyya, S., Deprettere, E., Leupers, R., Takala, J. (eds) Handbook of Signal Processing Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6345-1_28

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  • DOI: https://doi.org/10.1007/978-1-4419-6345-1_28

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-6344-4

  • Online ISBN: 978-1-4419-6345-1

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