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Parallel computation structures for a class of cyclic spectral analysis algorithms

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Abstract

A digital frequency smoothing algorithm for cyclic spectral analysis is described. Partitioning schemes are presented that have properties amenable to parallel implementation. Parallel computation structures, based on the partitioning schemes, are described and system architectures proposed.

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References

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Author information

Authors and Affiliations

  1. Group ESA-MT, MS J-580, Los Alamos National Laboratory, 87545, Los Alamos, NM

    Randy S. Roberts

  2. Department of Electrical and Computer Engineering, Code EC/Lm, Naval Postgraduate School, 93943, Monterey, CA

    Herschel H. Loomis Jr.

Authors
  1. Randy S. Roberts
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  2. Herschel H. Loomis Jr.
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Additional information

This work was supported in part by a grant from ESL Inc. with partial matching support from the California State MICRO Program (PI: W.A. Gardner).

Formerly with the Signal Processing Group, Department of Electrical Engineering and Computer Science, University of California, Davis, CA 95616.

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Roberts, R.S., Loomis, H.H. Parallel computation structures for a class of cyclic spectral analysis algorithms. Journal of VLSI Signal Processing 10, 25–40 (1995). https://doi.org/10.1007/BF02407024

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  • DOI: https://doi.org/10.1007/BF02407024

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