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DSP Structure Optimizations – A Multirate Signal Flow Graph Approach

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Advances in Neural Networks - ISNN 2004 (ISNN 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3174))

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Abstract

A systematic approach for Digital Signal Processing (DSP) structure optimizations is introduced. The method is based on the Multirate Signal Flow Graph (MSFG) representation and transformations. It reduces the optimization of dsp algorithms/structures to a series of MSFG transformations that makes automation of dsp structure optimization possible. As an example, an efficient Digital Down Converter structure is derived through MSFG transformations. It is applicable to linear time-invariant or periodically time-varying systems.

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References

  1. Crochiere, R.E., Rabiner, L.R.: Multirate Digital Signal Processing. Printice Hall, Englewood Cliffs (1983)

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Author information

Authors and Affiliations

  1. EMS Satellite Networks, 2341 Boul. Alfred-Nobel, Saint Laurent, Quebec, H4S 2A9, Canada

    Ronggang Qi

  2. Dept. of Electrical & Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. W., Montreal, Quebec, H3G 1M8, Canada

    Zifeng Li

  3. Shenzhen Jiu Li Trading Ltd, Shenzhen, China

    Qing Ma

Authors
  1. Ronggang Qi
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  2. Zifeng Li
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  3. Qing Ma
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Editor information

Editors and Affiliations

  1. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, China

    Fu-Liang Yin

  2. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  3. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, Liaoning, China

    Chengan Guo

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© 2004 Springer-Verlag Berlin Heidelberg

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Qi, R., Li, Z., Ma, Q. (2004). DSP Structure Optimizations – A Multirate Signal Flow Graph Approach. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_160

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  • DOI: https://doi.org/10.1007/978-3-540-28648-6_160

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22843-1

  • Online ISBN: 978-3-540-28648-6

  • eBook Packages: Springer Book Archive

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