@inproceedings{e7e25e56d7e94ed8acfab772818b1e58,
title = "A Signal Sorting Algorithm Based on LOF De-Noised Clustering",
abstract = "In this paper, an algorithm for removing outliers is proposed for low SNR signals. Firstly, the coarse separation of signals is performed by using the isolated point removal algorithm based on Euclidean distance, and then the coarsely separated data is finely separated by the LOF algorithm based on density detection. The remaining signal data after fine separation is clustered. Through simulation analysis, the algorithm can remove all isolated points at the cost of useful signal loss at low SNR, and the residual signal clustering effect is better.",
keywords = "Clustering, LOF, Outlier removal",
author = "Zhenyuan Ji and Yan Bu and Yun Zhang",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.; 8th International Conference on Communications, Signal Processing, and Systems, CSPS 2019 ; Conference date: 20-07-2019 Through 22-07-2019",
year = "2020",
doi = "10.1007/978-981-13-9409-6\_32",
language = "英语",
isbn = "9789811394089",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer",
pages = "268--275",
editor = "Qilian Liang and Wei Wang and Xin Liu and Zhenyu Na and Min Jia and Baoju Zhang",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 8th International Conference on Communications, Signal Processing, and Systems, CSPS 2019",
address = "德国",
}