English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Nonlinear systems are capable of displaying complex behavior even if this isthe result of a small number of interacting time scales. A widely studied caseis when complex dynamics emerges out of a nonlinear system being forced by asimple harmonic function. In order to identify if a recorded time series is theresult of a nonlinear system responding to a simpler forcing, we develop adiscrete nonlinear transformation for time series based on synchronizationtechniques. This allows a parameter estimation procedure which simultaneouslysearches for a good fit of the recorded data, and small complexity of afluctuating driving parameter. We illustrate this procedure using data fromrespiratory patterns during birdsong production.

Parameter estimation, nonlinearity and Occam's razor