@Article{jbd.2019.07294,
AUTHOR = {Yuan Chen, Liangtao Duan, Weize Sun, Jingxin Xu},
TITLE = {<i>l</i><sub>1</sub>-norm Based GWLP for Robust Frequency Estimation},
JOURNAL = {Journal on Big Data},
VOLUME = {1},
YEAR = {2019},
NUMBER = {3},
PAGES = {107--116},
URL = {http://www.techscience.com/jbd/v1n3/38302},
ISSN = {2579-0056},
ABSTRACT = {In this work, we address the frequency estimation problem of a complex singletone embedded in the heavy-tailed noise. With the use of the linear prediction (LP) property 
and <i>l</i><sub>1</sub>-norm minimization, a robust frequency estimator is developed. Since the proposed 
method employs the weighted <i>l</i><sub>1</sub>-norm on the LP errors, it can be regarded as an extension 
of the <i>l</i><sub><i>p</i></sub>-generalized weighted linear predictor. Computer simulations are conducted in the 
environment of α-stable noise, indicating the superiority of the proposed algorithm, in 
terms of its robust to outliers and nearly optimal estimation performance.},
DOI = {10.32604/jbd.2019.07294}
}