Using Fourier Series to high dimensional Image Sets

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A multivariate Fourier Series of $f(\mathbf{u})$ can be defined by:

$$f(\mathbf{u}) = \sum_{n\in \mathbb{Z}^{d}}^\infty C_n e^{2\pi i n \mathbf{u}}$$

where:

$$f: \mathbb{R}^{d} \to \mathbb{R}$$

My question is: how to use Fourier Series to approximate a function such as

$$f: \mathbb{R}^{d} \to \mathbb{R}^{q}$$

where $q > 1$?

For instance, is there a way to use Fourier Series to approximate a function like this:

$$f(x,y,z)=(x^3+zy^3, x^2z + y)$$

?

Is it safe solving it by doing:

$$f(x,y,z)=(g(x,y,z), h(x,y,z))$$

$$g(x,y,z) = \sum_{n,m,o}C_g^{mno} e^{2\pi i (mx+ny+oz) }$$

$$h(x,y,z) = \sum_{n,m,o}C_h^{mno} e^{2\pi i (mx+ny+oz) }$$

?