tEIGdwt: Tensor Eigenvalue Decomposition Using the Discrete Wavelet...

In rTensor2: MultiLinear Algebra

Tensor Eigenvalue Decomposition Using the Discrete Wavelet Transform

Description

Performs a Eigenvalue decomposition of 3-mode tensor using the discrete Wavelet transform (Haar Wavelet).

Usage

tEIGdwt(tnsr)

Arguments

tnsr	: a 3-mode tensor

Value

a Tensor-class object

If Eigenvalue decomposition is performed on a n x n x k tensor, the components in the returned value are:

P: A tensor of Eigenvectors (n x n x k)

D: An diagonal tensor of Eigenvalues (n x n x k)

Author(s)

Kyle Caudle

Randy Hoover

Jackson Cates

References

G. Strang and T. Nguyen, Wavelets and filter banks. SIAM, 1996.

A. Haar, “Zur theorie der orthogonalen funktionensysteme,” Mathema- tische annalen, vol. 69, no. 3, pp. 331–371, 1910.

Examples

T <- rand_tensor(modes=c(2,2,4))
print(tEIGdwt(T))

rTensor2 documentation built on May 29, 2024, 8:34 a.m.