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Estimate a Fourier Transform

I'm reading an article which claims the following result : if $f : \mathbb{R}^{2} -> R$ is of the form : $\sin (N x_{1}) h (g^{-1}(x)) $ where $x = (x_{1},x_{2})$, $g$ is a diffeomorphism and h is $C^{\infty}$ and compactly supported on $[0,1]^2$ , then if we use the notation $<u> = \sqrt{1 + |u|^{2}}$ and $N_{1} = \pi* N *(1,0)$ then the Fourier Transform of f is such that, for all $M>0$ it exists $C_M$ so : $\widehat{f}(\omega) \leq C_{M}. \big( <\omega - N_{1} >^{-M} + <\omega + N_{1} >^{-M} \big)$ knowing that Fourier transform is defined as follows : $\widehat{f}(\omega ) = \int \exp(-ix.w)f(x)dx$ I was wondering which mathematical result could justify this estimation. Is it Payley-Wiener theorem ?

Here is a link to the article : (page 9) http://www.waveatom.org/papers/WaveatomsImage.pdf

Thank you for your help .

W.314
  • 119
  • 1