I'm looking for a good book on distribution theory (in the Schwartz sense), I have the basic knowledge as given in Grafakos' Classical Fourier Analysis, but I want to know more about it. Is the reference still Laurent Schwartz' Théorie des distributions? That book is hard to obtain, it seems to be only available in France.
Duistermaat J., Kolk J. Distributions: Theory and Applications (Birkhäuser 2010)
deserves to be mentioned.
Theory of Distributions by J. Ian Richards and Heekyung K. Youn is a self-described "non-technical introduction", which seems to mean you don't need to know functional analysis, measure theory, or topology. But you do need to think more like a mathematician than like a physicist or engineer; it's all mathematically rigorous. It contains the authors' original results on the question of when two distributions can be multiplied.
Distribution Theory and Transform Analysis by A. H. Zemanian develops the theory, then does Fourier and Laplace transforms, then applies it all to problems arising in engineering.
And there's Introduction to Fourier analysis and generalised functions by Sir James Lighthill.
Since I want to close this question, I will post an answer myself.
A Guide to Distribution Theory and Fourier Transforms - Strichartz is a nice introduction but it contains almost nothing.
Théorie des distributions by Laurent Schwartz is written by the master and father on the subject and therefore I say it is a good book.
A book I've been reading that seems pretty good and is not listed at the link is Griffel's Applied Functional Analysis. Cheap too!
I'm surprised no one has yet mentioned I. M. Gel'fand et al.'s five volume work Generalized Functions. Unfortunately, it is out of print (Volume I is going for 3000$ on Amazon at the time of writing), but if you can get your hands on a copy, I've found them to be an invaluable reference.
I think the following books are useful and very interesting.
A Guide to Distribution Theory by Strichartz, Introduction to the Theory of Distributions, by Friedlander, Distributions Theory and Applications, by Duistermaat and Kolk.
Is this for your own interest or for your thesis? Or both? Just curious.