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1)  Morlet-like wavelet cluster
Morlet小波簇
2)  morlet wavelet
Morlet小波
1.
Application of Morlet wavelet in sequence stratigraphic division on well-logging data.;
Morlet小波在测井层序地层划分中的应用
2.
Fast Reconstruction Algorithms Based on Morlet Wavelet for Machine Tools Servo Current;
基于Morlet小波的机床伺服电流快速重构算法
3.
An improved Morlet wavelet based signal filtering method and numerical simulation;
基于Morlet小波滤波的改进方法及仿真研究
3)  complex Morlet wavelet
复Morlet小波
4)  Morlet complex wavelet
Morlet复小波
1.
Study on application of Morlet complex wavelet on adaptive current protection
Morlet复小波算法在自适应电流保护中的应用研究
2.
By using PCI DeviceNet card and short-window Morlet complex wavelet algorithm and combining protective relays technology, fieldbus technology and measuring and control technology, a new full-distributed protective relays measuring and control system is developed.
应用PCI DeviceNet板卡和短窗Morlet复小波算法,综合微机保护、现场总线与测控技术, 开发了一种全分布式结构的新型继电保护测控系统。
3.
A Morlet complex wavelet based novel phasor estimation algorithm is presented which is better than traditional Fourier algorithm in stability and robustness.
提出了基于Morlet复小波的相量估算算法,由于采用具有较好频率特性的Morlet复小波,因此该算法的稳定性优于传统傅里叶算法,同时不受整次、非整次谐波及非周期衰减分量的影响,相量估算精度高,鲁棒性强。
5)  Morlet wavelet filter
Morlet小波滤波
1.
By Morlet wavelet filter to extract the optimized movement-related electroencephalogram(EEG) features,the movement-related EEG patterns from two groups of experiment data including 4 subjects are recognized and the average maximum classification accuracy reaches to 87.
利用Morlet小波滤波方法提取优化的运动相关脑电特征,对两组实验数据4个受试者的运动相关脑电模式进行分类,平均最大分类正确率达到87。
2.
By Morlet wavelet filter to extract the optimized movement-related EEG features,the movement-related EEG patterns from two groups of experiment data including 4 subjects are distinguished and the average maximum classification accuracy reaches 88.
利用Morlet小波滤波方法提取优化的运动相关脑电特征,对两组实验数据4个受试者运动相关脑电模式进行分类,平均最大分类正确率达到88。
6)  Morlet continuous wavelet
Morlet连续小波
1.
In the paper,the data of SP well logging curve were transformed with Morlet continuous wavelet and the results showed that the boundaries of sedimentary cycle in different scales could be detected.
地质学意义在于:包含多个不同尺度沉积旋回信息的测井曲线,通过Morlet连续小波变换,被分解成各自独立的单一尺度的旋回,尺度因子的大小反映了地层沉积周期的长短。
2.
To solve some problems in analysing fault signals of compressor,extraction and recognition of fault signal with Morlet continuous wavelet was proposed.
针对目前压缩机故障信号分析中存在的问题,提出了用Morlet连续小波对故障信号进行提取和识别。
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