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tEIG <- function(tnsr,tform) {
# Performs a Eigenvalue decomposition of 3-mode tensor
# using any discrete transform.
# Input: tnsr, a 3D tensor
# Output: A tensor P of eigenvectors and a tensor D
# eigenvalues so that tnsr = P D P^-1
if (tnsr@num_modes != 3)
stop("tEIG only implemented for 3d so far")
modes <- tnsr@modes
n1 <- modes[1]
n2 <- modes[2]
n3 <- modes[3]
if (n1 !=n2)
stop("An eigen alue decomposition can only be performed when the lateral faces are square")
if (tform=="fft") {
TE = tEIGfft(tnsr)
} else if (tform=="dwt") {
TE = tEIGdwt(tnsr)
} else if (tform=="dct") {
TE = tEIGdct(tnsr)
} else if(tform=="dst") {
TE = tEIGdst(tnsr)
} else if(tform=="dwht") {
TE = tEIGdwht(tnsr)
} else if(tform=="dht") {
TE = tEIGdht(tnsr)
} else {
stop("Transform not supported")
}
tEIG <- TE
return(tEIG)
}
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