Tensor Product and Stride Permutation

  • R. Tolimieri
  • Myoung An
  • Chao Lu
Part of the Signal Processing and Digital Filtering book series (SIGNAL PROCESS)

Abstract

Tensor product offers a natural language for expressing digital signal processing(DSP) algorithms. In this chapter, we define the tensor product and derive several important tensor product identities.

Keywords

Tensor Product Main Memory Parallel Operation Permutation Matrice Vector Operation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    Johnson, J., Johnson, R., Rodriguez, D. and Tolimieri, R. ”A Methodology for Designing, Modifying, and Implementing Fourier Transform Algorithms on Various Architectures.” Accepted for publication by Circuits, Systems and Signal Processing.Google Scholar
  2. [2]
    Hoffman, K. and Kunze, R. Linear Algebra, Second Ed. Prentice Hall. 1971.Google Scholar
  3. [3]
    Nering, E. D. Linear Algebra and Matrix Theory, John Wiley & Sons. 1970.Google Scholar

Copyright information

© Springer Science+Business Media New York 1989

Authors and Affiliations

  • R. Tolimieri
    • 1
  • Myoung An
    • 1
  • Chao Lu
    • 1
  1. 1.Center for Large Scale ComputingCity University of New YorkNew YorkUSA

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