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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

I describe a new method to detect differences of polarization angles, azimuth and elevation angle, between two three-component signals. The differences of polarization angles are calculated directly from nine cross correlations between two three-component signals. I compare performance of this method to a conventional method based on a polarization filter, which uses Principal Component Analysis, in a computer simulation. When data length is shorter than a period of a sinusoidal signal, which is used as a signal in the simulation, the new method shows both less dispersion and less bias of errors than the polarization filter does.

Detection method of differences of polarization angles between three-component signals