arXiv · 1312.7401
Data driven sampling of oscillating signals
Abstract
The reduction of the number of samples is a key issue in signal processing for mobile applications. We investigate the link between the smoothness properties of a signal and the number of samples that can be obtained through a level crossing sampling procedure. The algorithm is analyzed and an upper bound of the number of samples is obtained in the worst case. The theoretical results are illustrated with applications to fractional Brownian motions and the Weierstrass function.
Explore related subjects
Keep this discovery
Brigitte Bidégaray-Fesquet, Marianne Clausel. 2013-12-28. Data driven sampling of oscillating signals. https://arxiv.org/abs/1312.7401
Cite the original work for its findings. Save a collection to share your selection of sources.