# What does the normalization step of the Haar wavelet transform represent?

When you perform the Haar wavelet transform, you take the sums and differences, then at each stage, you multiply the entire signal by $\small\sqrt2$.

When taking the inverse transform, you multiply the signal by $\frac{1}{\sqrt2}$ for each iteration.

What does this "normalization" really represent?