- In Fourier series, any function can be decomposed as sum of sine and cosine
- In neural networks, any function can be decomposed as weighted sum over logistic functions. (A one layer neural network)
- In wavelet transforms, any function can be decomposed as weighted sum of Haar functions
Is there also such property for decomposition into mixture of Gaussians? If so, is there a proof?