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Tensor Product and Stride Permutation

  • Richard Tolimieri
  • Chao Lu
  • Myoung An
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 terms of matrix factorizations. In this chapter, we define the tensor product and derive several important tensor product identities.

Keywords

Tensor Product Main Memory Permutation Matrix Parallel Operation Permutation Matrice 
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”, IEEE Trans. Circuits Sys., 9 (4), 1990.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., 1970Google Scholar

Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Richard Tolimieri
    • 1
  • Chao Lu
    • 2
  • Myoung An
    • 3
  1. 1.Department of Electrical EngineeringCity College of CUNYNew YorkUSA
  2. 2.Department of Computer and Information SciencesTowson State UniversityTowsonUSA
  3. 3.A.J. Devaney AssociatesAllstonUSA

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