罗青,牛海清,胡日亮,等．一种改进的用于快速傅里叶变换功率谱中的窄带干扰抑制的方法[J]．中国电机工程学报,2013,33(12)：167-175．Luo Qing,Niu Haiqing,Hu Riliang,et al．A modified method of suppressing narrow-band interference using fast Fourier transform power spectrum[J]．Proceedings of the CSEE,2013,33(12)：167-175(in Chinese)．
[2]
Sriram S,Nitin S,Prabhu K M M,et al．Signal denoising techniques for partial discharge[J]．IEEE Transactions on Dielectrics and Electrical Insulation Measurements,2005,12(6)：1182-1191．
[3]
雷云飞,杨高才,刘盛祥．用于变压器局部放电在线监测的改进 NLMS 自适应滤波算法[J]．电网技术,2010,34(8)：165-169．Lei Yunfei,Yang Gaocai,Liu Shengxiang．An improved adaptive normalized least mean square filtering algorithm for on-line monitoring of transformer partial discharge [J]．Power System Technology,2010,34(8)：165-169(in Chinese)．
[4]
姚林朋,郑文栋,钱勇,等．基于集合经验模态分解的局部放电信号的窄带干扰抑制[J]．电力系统保护与控制,2011,39(22)：133-139．Yao Linpeng,Zheng Wendong,Qian Yong,et al．A narrow-band interference suppression method based on EEMD for partial discharge[J]．Power System Protection and Control,2011,39(22)：133-139(in Chinese)．
[5]
Gaouda A M,Ayman El-Hag,Abdel-Galil T K,et al．On-line detection and measurement of partial discharge signals in a noisy environment[J]．IEEE Transactions on Dielectrics and Electrical Insulation,2008,15(4)：1162-1173．
[6]
钱勇,黄成军,陈陈,等．多小波消噪算法在局部放电检测中的应用[J]．中国电机工程学报,2007,27(6)：89-95．Qian Yong,Huang Chengjun,Chen Chen,et al．Application of multi-wavelet based on denoising algorithm in partial discharge detection[J]．Proceedings of the CSEE,2007,27(6)：89-95(in Chinese)．
[7]
江天炎,李剑,杜林,等．粒子群优化小波自适应阈值法用于局部放电去噪[J]．电工技术学报,2012,27(5)：77-83．Jiang Tianyan,Li Jian,Du Lin,et al．Denoising for partial discharge signals using PSO adaptive wavelet threshold estimation[J]．Transactions of China Electrotechnical Society,2012,27(5)：77-83(in Chinese)．
[8]
王志贤．最优状态估计与系统辨识[M]．西安：西北工业大学出版社,2004：118-119．Wang Zhixian．Optimal state estimation and system identification[M]．Xi’an：Northwestern Polytechnical University Press,2004：118-119 (in Chinese)．
[9]
王宏,Narayanan R M,周正欧,等．基于改进EEMD的穿墙雷达动目标微多普勒特性分析[J]．电子与信息学报,2010,32(6)：1355-1360．Wang Hong,Narayanan R M,Zhou Zhengou,et al．Micro-doppler character analysis of moving objects using through-wall radar based on improved EEMD [J]．Journal of Electronics & Information Technology,2010,32(6)：1355-1360(in Chinese)．
[10]
Mallat S G,Zhang Zhifeng．Matching pursuits with time-frequency dictionaries[J]．IEEE Transactions on Signal Processing,1993,41(12)：3397-3415．
[11]
宋蓓蓓,孙文方．基于稀疏重建的压缩图像质量提高方法[J]．华中科技大学学报：自然科学版,2012,40(9)：30-33,43．Song Beibei,Sun Wenfang．Compression image quality improvement via sparse reconstruction[J]．Journal of Huazhong University of Science and Technology：Natural Science Edition,2012,40(9)：30-33,43(in Chinese)．
[12]
Protter M,Elad M．Image sequence denoising via sparse and redundant representations[J]．IEEE Transactions on Image Processing,2009,18(1)：27-35．
[13]
Wright J,Allen Y Y,Arvind Ganesh,et al．Robust face recognition via sparse representation[J]．IEEE Transactions on Pattern Analysis and Machine Intelligence,2009,31(2)：210-227．
[14]
黄成军,郁惟镛．基于小波分解的自适应滤波算法在抑制局部放电窄带周期干扰中的应用[J]．中国电机工程学报,2003,23(1)：107-111．Huang Chengjun,Yu Weiyong．Study of adaptive filter algorithm based on wavelet analysis in suppressing PD’s periodic narrow bandwidth noise[J]．Proceedings of the CSEE,2003,23(1)：107-111(in Chinese)．
[15]
黄友锐．智能优化算法及其应用[M]．北京：国防工业出版社,2008：38-41．Huang Yourui．Intelligent optimization and application [M]．Beijing：National Defense Industry Press,2008：38-41(in Chinese)．
[16]
梁巍,阙沛文,陈亮,等．基于残差比阈值的迭代终止条件匹配追踪稀疏分解方法[J]．上海交通大学学报,2010,2(44)：171-175．Liang wei,Que Peiwen,Chen Liang,et al．Residual ratio iteration termination condition for MP method[J]．Journal of Shanghai Jiao Tong University,2010,2(44)：171-175(in Chinese)．
[17]
刘云鹏,律方成,李成榕,等．基于数学形态滤波器抑制局部放电窄带周期性干扰的研究[J]．中国电机工程学报,2004,24(3)：169-173．Liu Yunpeng,Lü Fangcheng,Li Chengrong,et al．Study of the mathematical morphological filter in suppressing periodic narrow bandwidth noise of PD[J]．Proceedings of the CSEE,2006,26(15)：29-34(in Chinese)．
[18]
唐炬,高丽,彭莉,等．非平稳振荡局放信号去噪效果评价参数研究[J]．高电压技术,2007,33(12)：66-70．Tang Ju,Gao Li,Peng Li.,et al．Study on new evaluation parameters for denoising performance of non-stationary oscillating partial discharge signals[J]．High Voltage Engineering,2007,33(12)：66-70(in Chinese)．
[19]
谢庆,张丽君,陈述一,等．快速独立分量分析算法在局放超声阵列信号去噪中的应用[J]．中国电机工程学报,2012,32(18)：160-166．Xie Qing,Zhang Lijun,Chen Shuyi,et al．Application of the fast ICA algorithm to PD ultrasonic array signal denoising[J]．Proceedings of the CSEE,2012,32(18)：160-166(in Chinese)．
[20]
程文波,王华军．信号稀疏表示的研究及应用[J],西南石油大学学报：自然科学版,2008,30(5)：148-151．Chen Wenbo,Wang Huajun．The research and application of sparse signal representation[J]．Journal of Southwest Petroleum University：Science & Technology Edition,2008,30(5)：148-151(in Chinese)．
[21]
李天云,高磊,聂永辉,等．基于经验模式分解处理局部放电数据的自适应直接阈值算法[J]．中国电机工程学报,2006,26(15)：29-34．Li Tianyun,Gao Lei,Nei Yonghui,et al．A new adaptive direct-threshold algorithm to partial discharge data processing based on empirical mode decomposition [J]．Proceedings of the CSEE,2006,26(15)：29-34(in Chinese)．
