A note on spike localization for line spectrum estimation
Numerical Analysis
2023-03-15 v2 Information Theory
Numerical Analysis
Signal Processing
math.IT
Statistics Theory
Statistics Theory
Abstract
This note considers the problem of approximating the locations of dominant spikes for a probability measure from noisy spectrum measurements under the condition of residue signal, significant noise level, and no minimum spectrum separation. We show that the simple procedure of thresholding the smoothed inverse Fourier transform allows for approximating the spike locations rather accurately.
Keywords
Cite
@article{arxiv.2303.00946,
title = {A note on spike localization for line spectrum estimation},
author = {Haoya Li and Hongkang Ni and Lexing Ying},
journal= {arXiv preprint arXiv:2303.00946},
year = {2023}
}