How Can I Detect Peaks and Regions of Highest Variance in a 1D Signal?
I would do the following:


Create a smoothed signal using $ N $ points averaging window to estimate the local average.
On the smoother signal I'd find an approximation which regularizes the $ {L}_{1} $ norm of the gradient.
Locate on the output of (2) samples where a large jumps occur.