Truncated Hilbert Transform: Uniqueness and a Chebyshev series Expansion Approach
Machine Learning
2020-02-13 v2 Numerical Analysis
Functional Analysis
Numerical Analysis
Machine Learning
Abstract
We derive a stronger uniqueness result if a function with compact support and its truncated Hilbert transform are known on the same interval by using the Sokhotski-Plemelj formulas. To find a function from its truncated Hilbert transform, we express them in the Chebyshev polynomial series and then suggest two methods to numerically estimate the coefficients. We present computer simulation results to show that the extrapolative procedure numerically works well.
Cite
@article{arxiv.2002.02073,
title = {Truncated Hilbert Transform: Uniqueness and a Chebyshev series Expansion Approach},
author = {Jason You},
journal= {arXiv preprint arXiv:2002.02073},
year = {2020}
}