参考文献/References:
[1] 胡铭, 陈珩. 有源滤波技术及其应用 [J]. 电力系统自动化, 2000(3):66-70.doi:10.3321/j.issn:1000-1026.2000.03.018.
[2] 钱照明, 叶忠明, 董伯藩. 谐波抑制技术 [J]. 电力系统自动化, 1997, (10):48-45.
[3] 陈燕, 刘涤尘. 基于Matlab的有源滤波系统电流补偿研究 [J]. 电力建设, 2002(6):45-47.doi:10.3969/j.issn.1000-7229.2002.06.018.
[4] 何振亚. 自适应信号处理 [M]. 北京:科学出版社, 2002.31-52.
[5] 杨福生. 小波变换的工程分析及应用 [M]. 北京:科学出版社, 1999.42-62.
[6] 胡昌华. 基于Matlab的系统分析于设计--小波分析 [M]. 西安:西安电子科技大学出版社, 1999.210-225.
相似文献/References:
[1]孙银钟.有源滤波器的个人计算机辅助设计[J].华侨大学学报(自然科学版),1991,12(4):506.[doi:10.11830/ISSN.1000-5013.1991.04.0506]
Sun Yinzhong.A Personal Computer Aided Design for Active Filters[J].Journal of Huaqiao University(Natural Science),1991,12(3):506.[doi:10.11830/ISSN.1000-5013.1991.04.0506]
[2]陈宇,郑力新.利用自适应遗传算法优化滤波电路参数[J].华侨大学学报(自然科学版),2010,31(3):272.[doi:10.11830/ISSN.1000-5013.2010.03.0272]
CHEN Yu,ZHENG Li-xin.Parameter Optimization of Filter Circuit Based on Adaptive Genetic Algorithm[J].Journal of Huaqiao University(Natural Science),2010,31(3):272.[doi:10.11830/ISSN.1000-5013.2010.03.0272]
[3]吕俊白.小波系数局部特征的自适应图像降噪算法[J].华侨大学学报(自然科学版),2010,31(6):636.[doi:10.11830/ISSN.1000-5013.2010.06.0636]
Lü Jun-bai.Adaptive Algorithm for Image Denoising Based on Local Characteristic of Wavelet Coefficient[J].Journal of Huaqiao University(Natural Science),2010,31(3):636.[doi:10.11830/ISSN.1000-5013.2010.06.0636]
[4]周凯汀,郑力新.图像域阈值与维纳滤波组合的图像去噪方法[J].华侨大学学报(自然科学版),2012,33(2):157.[doi:10.11830/ISSN.1000-5013.2012.02.0157]
ZHOU Kai-ting,ZHENG Li-xin.Image Denoising by Thresholding and Wiener Filtering in Image Domain[J].Journal of Huaqiao University(Natural Science),2012,33(3):157.[doi:10.11830/ISSN.1000-5013.2012.02.0157]
[5]蔡琼,陈鹏慧,魏武.采用小波变换的脑电图信号分析及其应用[J].华侨大学学报(自然科学版),2015,36(2):166.[doi:10.11830/ISSN.1000-5013.2015.02.0166]
CAI Qiong,CHEN Peng-hui,WEI Wu.Analysis and Application of Electroencephalography Signal Based on Wavelet Transform[J].Journal of Huaqiao University(Natural Science),2015,36(3):166.[doi:10.11830/ISSN.1000-5013.2015.02.0166]
[6]陈萍芸,林春深.一种改进的动脉CT图像去噪方法[J].华侨大学学报(自然科学版),2015,36(4):443.[doi:10.11830/ISSN.1000-5013.2015.04.0443]
CHEN Ping-yun,LIN Chun-shen.Research on an Improved De-Noising Method for Artery CT Images[J].Journal of Huaqiao University(Natural Science),2015,36(3):443.[doi:10.11830/ISSN.1000-5013.2015.04.0443]
[7]邵辉,苏芳茵,程海波.采用小波变换和高斯过程的肌电信号模型预测[J].华侨大学学报(自然科学版),2016,37(6):743.[doi:10.11830/ISSN.1000-5013.201606016]
SHAO Hui,SU Fangyin,CHENG Haibo.Model Forecasting of EMG Using Wavelet Transformation and Gaussian Process[J].Journal of Huaqiao University(Natural Science),2016,37(3):743.[doi:10.11830/ISSN.1000-5013.201606016]
[8]赵尚程,张认成,杜建华,等.采用小波变换的光伏串联电弧故障检测[J].华侨大学学报(自然科学版),2017,38(1):7.[doi:10.11830/ISSN.1000-5013.201701002]
ZHAO Shangcheng,ZHANG Rencheng,DU Jianhua,et al.Photovoltaic Series Arc Fault Detection Utilizing Wavelet Transform[J].Journal of Huaqiao University(Natural Science),2017,38(3):7.[doi:10.11830/ISSN.1000-5013.201701002]
[9]刘景良,高源,骆勇鹏,等.采用解析模态分解和小波变换的损伤识别方法[J].华侨大学学报(自然科学版),2017,38(5):643.[doi:10.11830/ISSN.1000-5013.201705022]
LIU Jingliang,GAO Yuan,LUO Yongpeng,et al.Structural Damage Detection Using Analytical Mode Decomposition and Wavelet Transform[J].Journal of Huaqiao University(Natural Science),2017,38(3):643.[doi:10.11830/ISSN.1000-5013.201705022]
[10]张健,黄德天,林炎明.采用稀疏表示和小波变换的超分辨率重建算法[J].华侨大学学报(自然科学版),2020,41(2):250.[doi:10.11830/ISSN.1000-5013.201908005]
ZHANG Jian,HUANG Detian,LIN Yanming.Super-Resolution Reconstruction Algorithm Using Sparse Representation and Wavelet Transform[J].Journal of Huaqiao University(Natural Science),2020,41(3):250.[doi:10.11830/ISSN.1000-5013.201908005]