<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Utilities on Quatm</title><link>https://www.quatm.com/en/docs/utilities/</link><description>Recent content in Utilities on Quatm</description><generator>Hugo</generator><language>en</language><atom:link href="https://www.quatm.com/en/docs/utilities/index.xml" rel="self" type="application/rss+xml"/><item><title>Variable density sampling</title><link>https://www.quatm.com/en/docs/utilities/vds/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.quatm.com/en/docs/utilities/vds/</guid><description>Overview quatm/utils/vds.py provides variable density sampling (VDS) tools: it generates support points (sample points) that are randomly distributed and densified in the regions of interest according to a given interest function, so as to optimise the limited experiment time.
Functions Function Description create_support_points_stochastic(start, stop, steps, interest_fn, ...) Generates randomly distributed support points densified in the ROI gauss_prime_norm(x, mu, sigma) Normalised form of the derivative of a Gaussian function (peak normalised to 1) gauss_prime_norm_abs(x, mu, sigma) Normalised form of the absolute value of the Gaussian derivative Usage from quatm.</description></item></channel></rss>