[1] |
王闯,华刚.小波去噪在矿用钢丝绳损伤检测中的应用研究[J].煤炭工程, 2014, 46(12):105-107
|
[2] |
Wang Chuang, Hua Gang.Application of Wavelet Denoising in Damage Detection of Mine Steel Wire Ropes[J].Coal Engineering, 2014, 46(12):105-107
|
[3] |
赵 洁, 华 钢, 于 博.基于改进小波阈值算法的矿用钢丝绳损伤检测信号去噪方法[J].煤矿机械, 2013, 34(1):284-286
|
[4] |
ZHAO Jie, HUA Gang, YU Bo.Denoising method for mine wire rope damage detection signal based on improved wavelet threshold algorithm[J].Coal Mine Machinery, 2013, 34(1):284-286
|
[5] |
郭晓霞,杨慧中.基于粒子群优化算法的小波阈值去噪方法研究[J].计算机技工程与应用, 2009.45(31):122-124.
|
[6] |
Guo Xiaoxia, Yang Huizhong.Study on Wavelet Threshold Denoising Method Based on Particle Swarm Optimization Algorithm[J].Computer Engineering and Applications, 2009.45(31):122-124.
|
[7] |
秦乾坤, 杨 慧, 岳威等.基于改进小波阈值的红外热波无损检测图像噪声抑制方法的研究[J]. 计算机时代, 2019(1):75-78.
|
[8] |
Qin Yukun, Yang Hui, Yue Wei et al.Research on image noise suppression method based on improved wavelet threshold for infrared thermal wave nondestructive testing[J]. Journal of Computers, 2019(1): 75-78.
|
[9] |
王 蓓, 张根耀, 李 智等.基于新阈值函数的小波阈值去噪算法[J].计算机应用, 2014, 34(5):1499-1502
|
[10] |
WANG Bei, ZHANG Gen-yao, LI Zhi et al.Wavelet threshold denoising algorithm based on new threshold function[J].Journal of Computer Applications, 2014, 34(5):1499-1502
|
[11] |
樊启斌.小波分析[D].武汉:武汉大学出版社, 2008.10.
|
[12] |
Fan Qibin.Wavelet Analysis [D]. Wuhan: Wuhan University Press, 2008.10.
|
[13] |
刘玉霞,李拉成,张 鹏.基于小波变换的光纤陀螺降噪预处理技术[J].电子设计工程, 2015, 23(7):93-95
|
[14] |
LIU Yuxia, LI Lacheng, ZHANG Peng.Noise reduction preprocessing technology of fiber optic gyroscope based on wavelet transform[J].Electronic Design Engineering, 2015, 23(7):93-95
|
[15] |
刘浩,韩晶.MATLAB R2016a完全自学一本通[D].北京:电子工业出版社,2016.12.
|
[16] |
Liu Hao, Han Jing.MATLAB R2016a is completely self-study [D]. Beijing: Publishing House of Electronics Industry, 2016.12.
|
[17] |
[10] 杨立.基于改进小波阈值函数的图像去噪[J]. 重庆理工大学学报:自然科学, 2013.27(2):93-95.
|
[18] |
Yang Li.Image Denoising Based on Improved Wavelet Threshold Function[J]. Journal of Chongqing University of Technology: Natural Science, 2013.27(2):93-95.
|
[19] |
HIEN M, etal.Denoising MR spectroscopic imaging data with low-rank approximations[J].IEEE Transactionon Biomedical Engineering, 2013.60(1):78-89.[8]
|
[20] |
Zhang Jianhua, Zhu Qiang, Zhang Jinrong, et al.A novel algorithm for threshold image denoising based on wavelet construction[J]. Cluster Computing, 2018: 1-8.
|
[21] |
Tang Hui, Liu Zengli, Chen Lin, et al.Wavelet image denoising based on the new threshold function[J]. Applied Mechanics and Materials, 2013, 347-350: 2231-2235.
|
[22] |
杨宁霞,孙皓,邱烽等.矿用钢丝绳断丝故障检测新方法研究[J].煤矿机械,2014.05(35):244-246.
|
[23] |
Yang Ningxia, Sun Hao, Qiu Feng et al.Research on new method for fault detection of mine wire rope brokenwire[J].Coal Mine Machinery, 2014.05(35):244-246.
|
[24] |
张楠.基于小波变换的钢丝绳断丝定量检测技术研究[J].煤炭工程,2013.02:129-131.
|
[25] |
Zhang Nan.Research on quantitative detection technology of wire rope broken wire based on wavelet transform[J].Coal Engineering, 2013.02:129-131.
|
[26] |
王龙,潘存治,王彦等.钢丝绳缺陷漏磁信号的降噪及波形特征的提取[J].矿山机械,2014.02(42):49-53.
|
[27] |
Wang Long, Pan Cunzhi, Wang Yan et al.Noise Reduction and Waveform Feature Extraction of Wire Rope Defect Magnetic Leakage Signals[J].Mining Machinery, 2014.02(42):49-53.
|
[28] |
蒙斌.基于小波分析的钢丝绳断丝检测技术研究[J].矿山机械,2015.03(43):58-61.
|
[29] |
Meng Bin.Research on wire rope broken wire detection technology based on wavelet analysis[J].Mine Machinery, 2015.03(43):58-61.
|
[30] |
李钊,巍巍,李建军等.基于小波变换的电磁无损检测技术[J].无线电工程,2011.41(10):44-46.
|
[31] |
Li Zhao, Wei Wei, Li Jianjun, etc.Electromagnetic nondestructive testing technology based on wavelet transform [J]. Radio Engineering, 2011.41(10): 44-46.
|
[32] |
王军,谭继文,战卫侠等.基于小波能量的钢丝绳断丝损伤信号处理[J].青岛理工大学学报,2012.03(33):65-69.
|
[33] |
Wang Jun, Tan Jiwen, Zhan Weixia et al.Signal processing of wire rope broken wire damage based on wavelet energy[J].Journal of Qingdao Technological University, 2012.03(33):65-69.
|
[34] |
华晋伟,王兵,邵帅等.基于漏磁原理的钢丝绳无损检测技术研究[J].仪表技术与传感器,2014.05:38-40.
|
[35] |
Hua Jinwei, Wang Bing, Shao Shuai et al.Research on non-destructive testing technology of steel wire rope based on magnetic flux leakage principle[J]. Instrument Technology and Sensors, 2014.05:38-40.
|