fit_continuous: Signal tensor estimation from a noisy and incomplete data...

In tensorsign: Nonparametric Tensor Completion via Sign Series

Description

Estimate a signal tensor from a noisy and incomplete data tensor using CP low rank tensor method.

Usage

fit_continuous(data,r)

Arguments

data	A given (possibly noisy and incomplete) data tensor.
r	Rank of the signal tensor.

Value

The returned object is a list of components.

est - An estimated signal tensor based on CP low rank tensor method.

U - A list of factor matrices.

lambda - A vector of tensor singular values.

Examples

library(rTensor)
indices = c(2,3,4)
noise = rand_tensor(indices)@data
Theta = array(runif(prod(indices),min=-3,max = 3),indices)

# The signal plus noise model
Y = Theta + noise

# Estimate Theta from CP low rank tensor method
hatTheta = fit_continuous(Y,3)
print(hatTheta$est)

tensorsign documentation built on Feb. 8, 2021, 5:06 p.m.