搜索结果: 1-9 共查到“Empirical Mode Decomposition”相关记录9条 . 查询时间(0.097 秒)
Application of empirical mode decomposition to very low frequency signals for identification of seismic-ionospheric precursor phenomena
Earthquake Precursor Phenomena Empirical Mode Decomposition
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2015/8/24
This study investigates the application of empirical mode decomposition to signals from very low frequency transmitters in Europe that were received in Thessaloniki, Greece, to provide a method for de...
ATMOSPHERIC LIDAR NOISE REDUCTION BASED ON ENSEMBLE EMPIRICAL MODE DECOMPOSITION
LIDAR Analysis Algorithms Atmosphere Detection
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2014/4/29
As an active remote sensing instrument, lidar provides a high spatial resolution vertical profile of aerosol optical properties. But the effective range and data reliability are often limited by vario...
基于EMD的土壤有机质含量近红外光谱检测（Near-infrared Spectrum Detection of Soil Organic Matter Content Based on Empirical Mode Decomposition）
土壤有机质 检测 经验模态分解 近红外光谱
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2010/12/29
以检测土壤有机质含量为例，探讨经验模态分解在土壤近红外光谱检测中的应用，提出了应用的原理和步骤。用处理后的光谱计算了土壤中的有机质含量，并与九点平滑和小波变换方法的处理结果进行了对比分析。结果表明：与传统的九点平滑处理结果相比，SNR从3 dB左右提高到10 dB左右，原始信号与消噪信号之间的标准差由2.972降到0.901；预测集的决定系数r2由0.9410提高到0.9803, 预测均方根...
频率外差经验模式分解改进算法（Improved Algorithm of Frequency Heterodyne Empirical Mode Decomposition）
经验模式分解 频率外差 间隙非线性系统
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2010/12/28
当信号中两个单频分量的频率在二倍频内时，经验模式分解（EMD）无法将两分量分解开。为了提高EMD的频率分辨率，根据频率外差EMD方法提出了一种改进算法。此方法增大了信号中组成分量的频率差距，使之达到EMD可分的程度，但不会使高低频率翻转。间隙非线性系统输出分析和转子复合故障诊断的应用表明，该算法能有效提高EMD的频率分辨率，分解精度高，操作简单。
Seismo-ionospheric coupling correlation analysis of earthquakes in Greece,using empirical mode decomposition
Seismo-ionospheric coupling correlation analysis earthquakes empirical mode decomposition
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2009/10/30
Ionospheric variability as a result of earthquake events is a confirmed phenomenon as published in various seismo-ionospheric coupling studies. Generally, ionospheric variations resulting from earthqu...
Discrimination between Ictal and Seizure-Free EEG Signals Using Empirical Mode Decomposition
Ictal Seizure-Free EEG Signals Empirical Mode Decomposition
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2009/9/4
A new method for analysis of electroencephalogram (EEG) signals using empirical mode decomposition (EMD) and Fourier-Bessel (FB) expansion has been presented in this paper. The EMD decomposes an EEG s...
Modified detrended fluctuation analysis based on empirical mode decomposition
Modified detrended empirical mode decomposition
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2010/11/1
Detrended fluctuation analysis (DFA) is a simple but very efficient method for investigating
the power-law long-term correlations of non-stationary time series, in which a detrending step is necessar...
Empirical Mode Decomposition in 2-D space and time：a tool for space-time rainfall analysis and nowcasting
2-D space Empirical Mode Decomposition space-time rainfall
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2009/5/18
A data-driven method for extracting temporally persistent information, at different spatial scales, from rainfall data (as measured by radar/satellite) is described, which extends the Empirical Mode D...
Using empirical mode decomposition to correlate paleoclimatic time-series
empirical mode decomposition paleoclimatic time-series
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2009/12/30
Determination of the timing and duration of paleoclimatic events is a challenging task. Classical techniques for time-series analysis rely too strongly on having a constant sampling rate, which poorly...