Topological signatures of periodic-like signals

06/23/2023
by   Wojciech Reise, et al.
0

We present a method to construct signatures of periodic-like data. Based on topological considerations, our construction encodes information about the order and values of local extrema. Its main strength is robustness to reparametrisation of the observed signal, so that it depends only on the form of the periodic function. The signature converges as the observation contains increasingly many periods. We show that it can be estimated from the observation of a single time series using bootstrap techniques.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/11/2019

Topological signature for periodic motion recognition

In this paper, we present an algorithm that computes the topological sig...
research
05/28/2022

Topological phase estimation method for reparameterized periodic functions

We consider a signal composed of several periods of a periodic function,...
research
05/28/2019

Cyclicality, Periodicity and the Topology of Time Series

Periodic and semi periodic patterns are very common in nature. In this p...
research
02/07/2020

Unsupervised non-parametric change point detection in quasi-periodic signals

We propose a new unsupervised and non-parametric method to detect change...
research
11/25/2019

Classification of Single-lead Electrocardiograms: TDA Informed Machine Learning

Atrial Fibrillation is a heart condition characterized by erratic heart ...
research
09/13/2021

The Permutation-Spectrum Test: Identifying Periodic Signals using the Maximum Fourier Intensity

This paper examines the problem of testing whether a discrete time-serie...
research
06/05/2023

PV Fleet Modeling via Smooth Periodic Gaussian Copula

We present a method for jointly modeling power generation from a fleet o...

Please sign up or login with your details

Forgot password? Click here to reset