In this paper, the instantaneous frequency estimation of nonstationary signals is considered. The instantaneous frequency is estimated from the timefrequency representation where certain percent of the coefficients is missing. The time-frequency representation is considered as an image, whose missing pixels are reconstructed by using compressive sensing recovery algorithms. As a time-frequency representation, the S-method is considered. The Compressive Sensing as a intensively growing novel approach for signal acquisition, ensures accurate signal reconstruction from relatively small percent of available information about the signal. The theory is verified by experimental results.
@article{arxiv.1902.02654,
title = {Instantaneous frequency estimation in compressive sensing scenario},
author = {Bozidar Androvic and Marko Kovac and Andjela Kandic},
journal= {arXiv preprint arXiv:1902.02654},
year = {2019}
}
Comments
Student paper submitted to The 8th Mediterranean Conference on Embedded Computing - MECO'2019