Tensor Product and Stride Permutation
Part of the Signal Processing and Digital Filtering book series (SIGNAL PROCESS)
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.
KeywordsTensor 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.
Unable to display preview. Download preview PDF.
- 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
- Hoffman, K. and Kunze, R. Linear Algebra, Second Ed. Prentice Hall. 1971.Google Scholar
- Nering, E. D. Linear Algebra and Matrix Theory, John Wiley & Sons. 1970.Google Scholar
© Springer Science+Business Media New York 1989