A Topological Lowpass Filter for Quasiperiodic Signals

06/28/2016
by   Michael Robinson, et al.
0

This article presents a two-stage topological algorithm for recovering an estimate of a quasiperiodic function from a set of noisy measurements. The first stage of the algorithm is a topological phase estimator, which detects the quasiperiodic structure of the function without placing additional restrictions on the function. By respecting this phase estimate, the algorithm avoids creating distortion even when it uses a large number of samples for the estimate of the function.

READ FULL TEXT
research
05/07/2020

Evaluating the phase dynamics of coupled oscillators via time-variant topological features

The characterization of phase dynamics in coupled oscillators offers ins...
research
01/28/2020

Variational phase recovering without phase unwrapping in phase-shifting interferometry

We present a variational method for recovering the phase term from the i...
research
12/02/2021

Recovering Hölder smooth functions from noisy modulo samples

In signal processing, several applications involve the recovery of a fun...
research
06/25/2023

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences

Learning Granger causality from event sequences is a challenging but ess...
research
02/15/2022

Non-iterative Filter Bank Phase (Re)Construction

Signal reconstruction from magnitude-only measurements presents a long-s...
research
02/20/2022

Analytic continuation from limited noisy Matsubara data

This note proposes a new algorithm for estimating spectral function from...
research
06/14/2021

Topology identifies emerging adaptive mutations in SARS-CoV-2

The COVID-19 pandemic has lead to a worldwide effort to characterize its...

Please sign up or login with your details

Forgot password? Click here to reset