# Strong decomposition tools from Harmonic Analysis in other fields

I would like to know more about the tools in Harmonic analysis, but the ones that give a really good results in other theories. One of them are decompositions, like Whitney, Calderon-Zygmund etc...The reason that I would like to know more about this is that these decomposition tools give a better results in other fields, like PDE's. We decompose a domain in some small parts, and apply the properties of that (decomposition) theorem for that small parts and we get a better result. How do you feel when to use this or that decomposition? I'm especially interested for applying them to harmonic functions that are from $L^{p}$. These form the so called harmonic Bergman space. I saw there are papers of the form: "Atomic decomposition theorem for...(almost everything)", but I really can't feel when to use this or that decomposition. Which are the "best" ones? Are there any new decompositions discovered recently that are really good to use?

(1) The wave packet decomposition. This decomposition underlies the proof of Carleson's theorem (this is more explicit in Fefferman's proof than Carelson's original proof), Lacey and Thiele's proof of the boundedness of the bilinear Hilbert transform, as well as a host of follow-up work in multilinear harmonic analysis. The idea of the wave packet decomposition is to decompose a function/operator in terms of an overdetermined basis. This allows one to preserve symmetries (such as modulation symmetries) that aren't preserved by a classical Calderon-Zygmund decomposition (which endows the $0$ frequency with a distinguished role). One might consider using a wave packet decomposition if is working with an operator that has a modulation symmetry. This is discussed in more detailed in Tao's blog post on the trilinear Hilbert transform.