# Posts with "time series" tag

Lyapunov Exponents Lyapunov exponents measure exponential rates of separation of nearby trajectories in the flow of a dynamical system. Read more...
publish date 2019-11-01
Delay Embedding We try to reconstruct a chaotic dynamical system from a time-series using Taken's delay embedding technique. The reconstruction preserves the properties of the dynamical system that do not change under smooth coordinate changes (i.e., diffeomorphisms). Read more...
publish date 2020-02-11
Fractal Dimension In the study of dynamical systems there are many quantities that identify as "entropy". Notice that these quantities are not the more commonly known thermodynamic ones, used in Statistical Physics. Rather, they are more like the to the entropies of information theory, which represents information contained within a dataset, or information about the dimensional scaling of a dataset. Based on the definition of the generalized entropy, one can calculate an appropriate dimension. Read more...
publish date 2019-08-17
Recurrence Plots A recurrence plot is a way to quantify recurrences that occur in a trajectory. What's a recurrence? As the name suggests, a recurrence happens when a trajectory visits the same neighborhood on the phase space that it was at some previous time. The recurrence plot is a visual representation of a sparse square matrix of boolean values (called recurrence matrix). Read more...
publish date 2020-05-21
###### Recent Posts
• Lorenz Attractor
We start with exploring Lorenz differential equations (also known as Lorenz attractor) using...
• Poincaré Surface of Section
Poincaré surface of section (also referred to as Poincaré section or Poincaré map) is powerful...
• Fractal Dimension
In the study of dynamical systems there are many quantities that identify as "entropy". Notice...