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Sparse error correction from nonlinear measurements with applications in bad data detection for power networks

机译：非线性测量的稀疏误差校正，适用于电力网络的不良数据检测

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Weiyu Xu; Meng Wang; Jian-feng Cai; Ao Tang; Senior Member;
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年度 2013
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1. Sparse Error Correction From Nonlinear Measurements With Applications in Bad Data Detection for Power Networks [J] . Xu W., Wang M., Cai J.-F., IEEE Transactions on Signal Processing . 2013,第24期

机译：非线性测量的稀疏误差校正及其在电网不良数据检测中的应用
2. Methods for Detection and Correction of Errors in Data Based on Nontraditional Representation of Measurement Results by Image-Remainders [J] . Kukushkin S. S., Suprun A. S. Measurement techniques . 2017,第12期

机译：基于图像余量非传统表示的数据错误检测与校正方法
3. Corrections of humidity measurement errors from the vaisala RS80 radiosonde- application to TOGA COARE data [J] . Junhong Wang, Harold L.Cole, David J.Carlson Journal of atmospheric and oceanic technology . 2002,第7期

机译：从维萨拉RS80无线电探空仪到TOGA COARE数据的湿度测量误差校正
4. Performance analysis of sparse recovery models for bad data detection and state estimation in electric power networks [C] . Junwei Yang, Wenchuan Wu, Weiye Zheng, IEEE Power and Energy Society General Meeting . 2016

机译：电力网络中不良数据检测和状态估计的稀疏恢复模型的性能分析
5. Performance analysis of error detection and correction code for wireless sensor networks. [D] . Balakrishnan, Gopinath. 2005

机译：无线传感器网络的错误检测和纠正代码的性能分析。
6. Measurement error correction for the cumulative average model in the survival analysis of nutritional data: application to Nurses’ Health Study [O] . Weiliang Qiu, Bernard Rosner -1

机译：营养数据存活分析中累积平均模型的测量误差校正：申请护士卫生研究
7. Sparse Recovery from Nonlinear Measurements with Applications in Bad Data Detection for Power Networks [O] . Xu, Weiyu, Wang, Meng, Cai, Jianfeng, 2013

机译：非线性测量的稀疏恢复与不良应用电网数据检测
8. Power Analysis and Trend Detection for Water Quality Monitoring Data: An Application for the Greater Yellowstone Inventory and Monitoring Network Natural Resource Report. [R] . Irvine, K. M. 2012

机译：水质监测数据的功率分析与趋势检测：大黄石库存监测网自然资源报告的应用。

Sparse error correction from nonlinear measurements with applications in bad data detection for power networks

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