Author lingluanwh
4 Stars
Updated Last
1 Year Ago
Started In
January 2019



FCA.jl is a package for julia implementing free component analysis, which separates freely-independent random matrices out of their additive mixture.


The package has not been registered in METADATA.jl and can be installed with Pkg.clone.

julia> Pkg.clone("https://github.com/lingluanwh/FCA.jl")


A typical example of the usage of fca.jl is

# separate freely independent rectangular random matrices out of their additive mixture
using FCA, LinearAlgebra

# generate freely two freely independent rectangular random matrices X1 and X2
N, M = 300, 500
X1 = randn(N, M) / sqrt(M)
U, V = Matrix(qr(randn(N,N)).Q), Matrix(qr(randn(M,M)).Q)
D = [Diagonal((collect(range(1,stop = 0,length = N)) .- 1).^4) zeros(N, M - N)]
X2 = U*D*V'
X = [X1, X2];

# mix X1, X2 linearly
A = randn(2,2) # mixing matrix
Z = A*X

# use freecf to recover mixing matrix and free components (up to permutation and rescaling)
Aest, Xest = freecf(Z; mat = "rec") # "rec" tells the function that we are dealing with the rectangular matrices

# Aest recover A upto column permutation and column rescaling.
@show pinv(Aest)*A # their product should approximate a diagonal matrix


This package is provided as is under the MIT License.


Hao Wu


University of Michigan, Department of Mathematics

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