von Mises Tapering: A Circular Data Windowing
H. M. de Oliveira, F. Chaves

TL;DR
This paper introduces a novel circular data windowing method based on the von Mises distribution, offering an alternative spectral analysis tool with distinct spectral properties compared to classical windows.
Contribution
A new von Mises-based taper shape for circular data windowing is proposed, expanding spectral analysis options with unique spectral characteristics.
Findings
Von Mises taper exhibits distinct spectral properties.
Compared favorably with classical window families.
Suitable for spectral analysis of circular data.
Abstract
Continuous standard windowing is revisited and a new taper shape is introduced, which is based on the normal circular distribution by von Mises. Continuous-time windows are considered and their spectra obtained. A brief comparison with classical window families is performed in terms of their spectral properties. These windows can be used as an alternative in spectral analysis.
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Taxonomy
TopicsBlind Source Separation Techniques · Image and Signal Denoising Methods · Neural Networks and Applications
