The start-up Function will send practically anyone to a lab for extensive medical testing, no physical required. Is that a good thing? By Kristen V. Brown As Kimberly Crisp approached middle age, ...

Abstract: Aperiodic autocorrelation is an important indicator of performance of sequences used in communications, remote sensing, and scientific instrumentation. Knowing a sequence’s autocorrelation ...

Autocorrelation, a statistical measure that evaluates the relationship between a variable’s past and present values, can provide insights into patterns and guide investment decisions. By analyzing how ...

Positive spatial autocorrelation indicate that similar events are closer together, while negative spatial autocorrelation describes a dispersed pattern. The following tutorial will demonstrate how to ...

This program calculates the vibrational density of states from molecular dynamics trajectories. The method using the velocity autocorrelation function directly is based on the implementation by Andrei ...

Autoregressive models are a statistical technique used to predict future values in a sequence based on its past values. It is essentially a fancy way of saying that it uses the past to predict the ...

DFT/FFT allows the frequency analysis of the most disparate processes: from the growth of an insect population to a pandemic. Let’s see what it can tell us about noise. In the previous article, we ...