Multivariate exponential decompositon

Multivariate exponential decompositon

using TensorDec

We consider the following function, which is a sum of 6 complex exponentials 

f = (u,v) -> 0.5*cos(0.7*pi*(u+v))+0.6*sin(4*pi*u)-0.2*cos(pi*v);

waves

In order to recover the frequencies or exponents of these exponential terms and their coefficients, we sample the function on a grid $({\alpha_1 \over T}, {\alpha_2 \over T}), \alpha=(\alpha_1,\alpha_2)\in A\subset \mathbb{N}^2$. This defines a sequence of moments $\sigma_{\alpha}=f({\alpha_1 \over T}, {\alpha_2 \over T})$. We compute its generating series truncated in degree $\leq 5$.

X = @ring x1 x2
L = monoms(X,5)
T = 10
mnt = (V->f(V[1]/T,V[2]/T))
sigma = series(mnt, L)
0.5095797473748392dx1^2dx2^2 - 0.4519219149027473dx1^4 + 0.6050846776084937dx1^2 + 0.46210935078676274dx1^2dx2^3 + 0.2775204557293506dx2^3 + 0.8328361327510712dx1*dx2 + 0.2569085959993554dx2^4 + 0.5575373543042985dx1^2dx2 - 0.5338499631663495dx1^4dx2 - 0.2874793003806999dx1^3dx2^2 - 0.15759364518763863dx1^3 + 0.7717888541929423dx1*dx2^3 + 0.02699524986977328dx1^5 + 0.7358257607718759dx1*dx2^4 - 0.22417045976016967dx1^3dx2 + 0.22699524986977343dx2^5 + 0.8585922907464658dx1 + 0.29774707771034303dx2 + 0.2906101273580203dx2^2 + 0.8039080170899477dx1*dx2^2 + 0.3

Computing its decomposition using svd

w, Xi = decompose(sigma);

yields the weights $\omega$ of the exponential terms in f and the exponentials $\Xi$:

w
6-element Array{Complex{Float64},1}:
 -0.169992-0.24719im  
 -0.169992+0.24719im  
 -0.172033-0.181397im 
 -0.172033+0.181397im 
 0.0865071+0.0501649im
 0.0865071-0.0501649im

By taking the log and scaling by ${T\over \pi}$, we recover the frequency vectors within precision $1O^{-11}$. 

log.(Xi')*T/pi
6×2 Array{Complex{Float64},2}:
  2.00132e-13-4.0im           -2.155e-12-5.55515e-13im
  2.00132e-13+4.0im           -2.155e-12+5.55515e-13im
  6.23093e-12-0.7im          1.34467e-13-0.7im        
  6.23093e-12+0.7im          1.34467e-13+0.7im        
 -4.23544e-12+5.16491e-11im  4.38766e-12-1.0im        
 -4.23544e-12-5.16491e-11im  4.38766e-12+1.0im