The CWT (continuous wavelet transform) of a signal $x(t)$ is $$X_w(a,b)=\frac{1}{\sqrt{|a|}} \int_{-\infty}^{\infty} x(t)\psi^{\ast}\left(\frac{t-b}{a}\right)\, dt$$
In order to reconstruct the signal, we can use this inverse formula : $$x(t)=\frac{1}{B_\psi}\int_{0}^{\infty}\int_{-\infty}^{\infty} \frac{1}{a^2}X_w(a,b)\frac{1}{\sqrt{|a|}} \tilde\psi\left(\frac{t-b}{a}\right)\, db\ da$$ where $$ B_\psi := \int_0^\infty \frac{\left|\hat{\psi}(u)\right|^2}{u} du.$$
But I read in some places (http://wavelets.ens.fr/ENSEIGNEMENT/COURS/CNRS/3_Marie_CWT_1D.pdf) that it is possible to do reconstruction with a different function than the original analysis wavelet (and it should give the same result ! I tried with numerical signals in Python, and it is true, it works!).
For example using $\psi(x)=\delta(x)$ leads to the Morlet reconstruction formula :
$$x(t)= \dfrac{1}{C_\psi}\int_{0}^{\infty} \frac{1}{a^2}X_w(a,t)\frac{1}{\sqrt{|a|}} \,da$$
where
$$ C_\psi := \int_0^\infty \frac{\overline{\psi(u)}}{u} du $$
Do you know where we can find a proof for this ?
I have seen the answer of this question at a book, but I didn't understand so much. I don't know if its useful or no, the notation and mathematics of it is so much hard, hope you understand, explain me if you understand too, also please explain how did you write inverse CWT code for delta function.







the reference is : WAVELET TRANSFORMS AND THEIR APPLICATIONS TO TURBULENCE,Marie Farye