Work

Approximating with Gaussians

Year: 2008
Type: preprint
Abstract: Linear combinations of translations of a single Gaussian, e^{-x^2}, are shown to be dense in L^2(R). Two algorithms for determining the coefficients for the approximations are given, using orthogonal Hermite functions and least squares. Taking the Fourier transform of this result shows low-frequency trigonometric series are dense in L^2 with Gaussian weight function.
Language: English
Open Access status: green
OpenAlex ID: W1945723974
Cites: 10
Cited by: 7
Related to: 10