%0 Journal Article %1 journals/tbd/LingQHC21 %A Ling, Zenan %A Qiu, Robert C. %A He, Xing %A Chu, Lei %D 2021 %J IEEE Trans. Big Data %K dblp %N 3 %P 548-558 %T A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location. %U http://dblp.uni-trier.de/db/journals/tbd/tbd7.html#LingQHC21 %V 7

@article{journals/tbd/LingQHC21, added-at = {2021-09-16T00:00:00.000+0200}, author = {Ling, Zenan and Qiu, Robert C. and He, Xing and Chu, Lei}, biburl = {https://www.bibsonomy.org/bibtex/26c8f09ab0854a94189d8119072c264ed/dblp}, ee = {https://doi.org/10.1109/TBDATA.2019.2920350}, interhash = {909f6227fb9f0f31cf705927fca65c6e}, intrahash = {6c8f09ab0854a94189d8119072c264ed}, journal = {IEEE Trans. Big Data}, keywords = {dblp}, number = 3, pages = {548-558}, timestamp = {2024-04-09T05:52:50.000+0200}, title = {A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location.}, url = {http://dblp.uni-trier.de/db/journals/tbd/tbd7.html#LingQHC21}, volume = 7, year = 2021 }