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1.
Ｒｅｓｅａｒｃｈｏｎｔｈｅｓｐｅｃｔｒａｌａｎａｌｙｓｉｓａｎｄｔｅｓｔｍｅｔｈｏｄｏｆｐｅｒｉｏｄｓｉｇｎａｌｓｉｎｍｏｎｔｈｌｙｍｅａｎｓｅａｌｅｖｅｌ￥ＭａＪｉｒｕｉ；ＴｉａｎＳｕｚｈｅｎ；ＺｈｅｎｇＷｅｎｚｈｅｎａｎｄＣｈａｉＸｉｎｍｉｎ（Ｒ... 相似文献
2.
首先对比较简单的单分量信号和多分量信号进行时-频分析,对比了不同时-频分析方法(STFT、WD、Hilbert时-频谱分析、连续小波分析)的分析精度。结果表明对单分量信号和可以分解为若干单分量信号叠加的多分量信号,Hilbert时-频谱分析精度最好,WD和STFT次之,连续小波变换的精度最差;由于Hilbert时-频谱分析和WD方法要求信号为单分量信号或可以分解为若干单分量的信号,故其不适用于复杂信号的时-频分析;对多分量信号,STFT时-频谱较连续小波时-频谱精度高些。需要指出的是,当使用STFT方法时,取不同的窗参数,STFT的时-频分析精度相差很大,必须使用合适的窗参数,以取得较好的分析效果。此外还对El Centro波的两水平分量和人工合成的地震动进行了时-频分析,虽然STFT的时间分辨率和频率分辨率存在矛盾,但它对信号的适应性最强,对复杂信号的时-频分析精度一般可以满足需要,而连续小波变换进行信号的时-频分析时,时-频分辨精度最差,且对于大于30Hz的频率分量,随频率的增加,时-频分析的效果和精度迅速变差,说明小波变换并不适合于做时-频分析,尤其对于高频信号,用连续小波变换得到的时-频谱图看起来很粗糙,而且很难准确解释。进一步对比了真实地震动和人工地震动的时-频分布,认为用胡聿贤教授合成人工地震动的方法合成的地震动在时-频域上的分布和真实地震动相似。 相似文献
3.
地震波多次散射波场的高阶谱统计分析 总被引：2，自引：0，他引：2
设计了一个特殊且相对规则的散射界面模型,并利用声波动方程高阶有限差分的方法对其进行正演。通过不断改变模型中散射体的横向尺度来控制多次散射波场的强度和特征,然后结合高阶谱统计分析的方法对所得的多次散射波进行分析,进而可以得到多次散射波频率随散射体横向尺度而变化的一些规律。 相似文献
4.
We measure the 2-1 cumulant correlator power spectrum, a degenerate three-point statistic or integrated bispectrum, from the WMAP first and three year data releases (WMAP1 and WMAP2, respectively). We present a method of estimating these statistics using the pseudo-Cl-based SpICE estimator. We interpret the measurements in a maximum likelihood framework using theoretical predictions based on the simplest fNL model. All calculations are repeated on Monte Carlo simulations to obtain covariance matrices of our measurements. Application of the theory of random matrices revealed that the experimental covariances are consistent with a random matrix approximation. Finally, our χ2 analysis yields fNL = 22 ± 52(1σ) from WMAP2. 相似文献
5.
信号的时频分布具有比时间尺度分布更高的描述和刻画非稳态地震波信号的能力,进一步提高信号的时频聚集性和尽可能减小交叉项干扰是时频分析发展的方向。基于高阶矩时频分布理论,本首次提出了将其应用于数字化地震波形资料分析和处理的技术途径和方法。通过对仿真信号的Choi-Willams各阶矩时频分布与Wigner各阶矩时频分布的对比和交叉项干扰的理论分析,认为Choi-willams高阶矩时频分布具有时频聚集性高和交叉干扰项小的特点,在提高处理数字化地震波特性参数精度和地震应急技术系统的智能化程度等方面具有潜在应用前景。 相似文献
6.
Time-Frequency Peak Filtering (TFPF) is an effective method to eliminate pervasive random noise when seismic signals are analyzed. In conventional TFPF, the pseudo Wigner–Ville distribution (PWVD) is used for estimating instantaneous frequency (IF), but is sensitive to noise interferences that mask the borderline between signal and noise and detract the energy concentration on the IF curve. This leads to the deviation of the peaks of the pseudo Wigner–Ville distribution from the instantaneous frequency, which is the cause of undesirable lateral oscillations as well as of amplitude attenuation of the highly varying seismic signal, and ultimately of the biased seismic signal. With the purpose to overcome greatly these drawbacks and increase the signal-to-noise ratio, we propose in this paper a TFPF refinement that is based upon the joint time-frequency distribution (JTFD). The joint time-frequency distribution is obtained by the combination of the PWVD and smooth PWVD (SPWVD). First we use SPWVD to generate a broad time-frequency area of the signal. Then this area is filtered with a step function to remove some divergent time-frequency points. Finally, the joint time-frequency distribution JTFD is obtained from PWVD weighted by this filtered distribution. The objective pursued with all these operations is to reduce the effects of the interferences and enhance the energy concentration around the IF of the signal in the time-frequency domain. Experiments with synthetic and real seismic data demonstrate that TFPF based on the joint time-frequency distribution can effectively suppress strong random noise and preserve events of interest. 相似文献
7.
ＰｅｒｉｏｄｃｏｍｐｏｎｅｎｔｓｉｎｔｈｅｍｏｎｔｈｌｙｍｅａｎｓｅａｌｅｖｅｌｖａｒｉａｔｉｏｎｓｉｎｔｈｅＰａｃｉｆｉｃＯｃｅａｎ￥ＴｉａｎＳｕｚｈｅｎ；ＭａＪｉｒｕｉ；ＺｈｅｎｇＷｅｎｚｈｅｎ；ＣｈａｉＸｉｎｍｉｎａｎｄＺｈａｎｇＱｉｎ（Ｒｅｃ... 相似文献
8.
In this paper, first discussing briefly the instantaneous spectrum theory. Then, the instantnaeous spectra and Fourier spectra
of three seismic sequences are calculated, and comparing them to explain the superior characteristics of instantaneous spectrum.
Finally, the earthquake tendency of North China is estimated by using the instantaneous spectrum theory. The results show
that not only the occurrence time of the coming large earthquake, but also its magnitude instantaneous can be estimated by
using instantaneous spectrum of the seismic sequence.
The Chinese version of this paper appeared in the Chinese edition ofActa seismologica Sinica,15, 68–75, 1993. 相似文献
9.
谱分解技术作为一种解释性处理技术得到了地质、地球物理工作者的广泛关注,如何有效地利用其分频显示功能进行油气检测也成为人们关注的一个焦点。利用Wigner高阶谱具有高时频聚集性的特点,提出了一种基于改进核函数的Wigner双谱对角切片的谱分解技术。即在分析指数型核函数与锥形核函数优缺点的基础上,给出了改进的新核函数,进而采用模糊域核函数滤波法抑制Wigner双谱对角切片的交叉项,并解决了Wigner双谱对角切片的模糊函数中心点校正问题。通过对新的核函数交叉项抑制能力的数值模拟,验证新的核函数对时延轴上的交叉项也能抑制。最后对实际地震数据进行了分频处理,在20 Hz低频剖面内的油气有利区表现为强能量显示,与井的钻遇结果一致。 相似文献
10.
The Earth's natural pulse electromagnetic fields for earthquake time–frequency characteristics: Insights from the EEMD–WVD method 
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下载免费PDF全文 Monitoring the Earth's natural pulse electromagnetic field (ENPEMF) signal is a geomagnetic detection approach for the Earth internal and external studies, and it provides a reference for earthquake prediction. In this paper, the Ensemble Empirical Mode Decomposition–Wigner Ville Distribution (EEMD–WVD) method is used to process the time sequences of the ENPEMF signal detected by GR‐01 receiving devices during the Lushan MS7.0 earthquake (April 20th, 2013). By obtaining the intrinsic mode function (IMF), the time–frequency–amplitude joint distribution and the energy spectrum of the ENPEMF signal, the suspected anomalies before the earthquake could be shown. The results illustrate the ENPEMF signal before an earthquake and its time–frequency characteristics based on an EEMD–WVD algorithm, proving useful information about the anomalies around the time of the earthquake. 相似文献