共查询到20条相似文献，搜索用时 109 毫秒
1.
邱瑛 《地震地磁观测与研究》1995,16(6):53-57
介绍从８３７工程中长周期摆中提取短周期信号的工作，其意义是利用现有的８３７工程中长周期摆增加区域台网的近震控制能力。该项工作主要是设计一个带有特殊滤波器的前置放大器。此滤波器在选取归一化参数时要求Ｑｐ＝√Ｃ／Ｂ＞０．７０７，以达到抑制低频而提取所需高频信号的目的。 相似文献
2.
3.
高层摩擦摆基础隔震结构在远场长周期地震动长持时的长周期成份作用下,尤其是类谐波成份作用下,隔震层上部结构的减震性能将可能无法得到保证,且摩擦摆支座亦可能产生超限变形。为此,远场长周期地震动作用下高层摩擦摆基础隔震结构的减震性能需进一步探讨。通过一幢框架-核心筒高层摩擦摆基础隔震结构的非线性地震响应分析,揭示远场长周期地震动,尤其是在类谐和长周期地震动下框架-核心筒高层摩擦摆基础隔震结构的地震响应规律。提出在隔震层增设黏滞阻尼器对结构的地震响应进行控制。结果表明:摩擦摆隔震不能满足结构在远场类谐和长周期地震动作用的减震要求,而且还将放大其作用下结构的非线性响应;组合隔震结构能较有效地控制长周期地震动、特别是远场类谐和长周期地震作用下隔震层上部结构以及隔震层的弹塑性地震响应,尤其可显著减小隔震支座的最大变形,使其不超越隔震支座的容许变形值。 相似文献
4.
《地震地磁观测与研究》2016,(1)
以数字石英水平摆倾斜仪为研究对象,通过温度实验和地震台站观测,分析温度对水平摆倾斜仪输出信号的影响,从定量角度给出其影响频段,分析表明,温度对长周期地震观测仪器的影响是普遍存在且不可忽略的,开展温度对地震观测资料影响的定量研究,有助于科学评价观测仪器温度效应。 相似文献
5.
6.
《地球物理学进展》2019,(6)
重力固体潮信号包括能量相对强的日波、半日波分量,和能量相对弱的长周期波分量.为了在能量差异大的谐波分量中,有效提取地震场景下的异常信息,本文根据重力固体潮信号的产生机理,提出了一种重力固体潮信号正交分解模型,将强弱不同的潮汐谐波分量,分解到不同的正交方向.同时利用一种新型智能优化算法,改进独立成分分析方法,有效分离出重力固体潮信号中对应于不同正交方向的独立成分.对独立成分分量的谱相关分析,可以揭示各谐波分量的调制关系,地震场景下的谐波分量间存在异常的调制信息.但自相关运算会使强的分量更强,而弱的分量更弱,湮没弱的异常调制信息.因此,本文采用独立成分间的互相关谱,可以更完整地提取出潮汐谐波的异常信息,在此基础上,通过对云南的地震实例分析,提取出重力固体潮信号中异常的调制信息,并引入了理论计算值做参考,凸出了实际重力固体潮信号中存在明显的异常信息,发现长周期谐波分量的误差率远远大于日波、半日波的误差率,说明相比于日波、半日波,长周期波能更好的反映重力固体潮信号存在的异常信息. 相似文献
7.
前兆观测干扰信号频谱特征分析 总被引：2，自引：2，他引：0
地震前兆观测数据中干扰信号频繁出现,大大增加了地震前兆异常信息提取难度。本文选用基于傅里叶变换的功率谱、傅里叶谱以及基于希尔伯特-黄变换的边际谱方法,针对黑龙江地区数字化水位和竖直摆倾斜测项中的典型干扰信号进行分析,提取了水位高频干扰、周期干扰以及竖直摆倾斜的风扰、同震应变等常见干扰信号的频谱特征。通过对比3种频谱分析方法的差异性,发现功率谱法和傅里叶谱对提取干扰和噪声等平稳信号更加有效,而边际谱法对提取同震应变波等非平稳信号的效果更加显著。 相似文献
8.
长周期大地电磁测深数据采集及处理技术 总被引：3，自引：0，他引：3
研究岩石圈底部的上地幔盖层甚至软流圈的电性结构,需要采集周期长达几万秒的长周期大地电磁场信号,这对仪器设备、采集以及处理技术都提出了更高的要求.本文论述了用于采集长周期信号的仪器设备及其特殊性,讨论了长周期大地电磁测深测站的布置要求,并采用长周期大地电磁测深仪器试采了长周期大地电磁场信号.对试采信号的处理结果表明,采用长周期仪器设备和稳定性好的不极化电极,合理布置测站,能够采集到最长周期达几万秒的长周期大地电磁场信号. 相似文献
9.
10.
11.
One of the main objectives of seismic digital processing is the improvement of the signal-to-noise ratio in the recorded data. Wiener filters have been successfully applied in this capacity, but alternate filtering devices also merit our attention. Two such systems are the matched filter and the output energy filter. The former is better known to geophysicists as the crosscorrelation filter, and has seen widespread use for the processing of vibratory source data, while the latter is. much less familiar in seismic work. The matched filter is designed such that ideally the presence of a given signal is indicated by a single large deflection in the output. The output energy filter ideally reveals the presence of such a signal by producing a longer burst of energy in the time interval where the signal occurs. The received seismic trace is assumed to be an additive mixture of signal and noise. The shape of the signal must be known in order to design the matched filter, but only the autocorrelation function of this signal need be known to obtain the output energy filter. The derivation of these filters differs according to whether the noise is white or colored. In the former case the noise autocorrelation function consists of only a single spike at lag zero, while in the latter the shape of this noise autocorrelation function is arbitrary. We propose a novel version of the matched filter. Its memory function is given by the minimum-delay wavelet whose autocorrelation function is computed from selected gates of an actual seismic trace. For this reason explicit knowledge of the signal shape is not required for its design; nevertheless, its performance level is not much below that achievable with ordinary matched filters. We call this new filter the “mini-matched” filter. With digital computation in mind, the design criteria are formulated and optimized with time as a discrete variable. We illustrate the techniques with simple numerical examples, and discuss many of the interesting properties that these filters exhibit. 相似文献
12.
拾振器输入信号恢复方法的研究 总被引：1，自引：0，他引：1
为了补偿由于拾振器及其测量系统有限带宽而使测量结果产生的测量误差，本文提出了一种用FIR横向滤波器来恢复拾振器原始输入信号的方法。该方法是将拾振器的输出信号作为FIR横向滤波器的输入，用自适应RLS算法对FIR横向滤波器系数进行辨识而最终获得可以恢复拾振器原始输入信号的反卷积滤波器。通过用几组不同特点的信号对其进行实验检验，结果证明该方法的有效性和较好的泛化能力。 相似文献
13.
针对地震勘探随机噪声的压制,本文应用拉伸厄米特高斯函数设计出方向可控滤波器.根据时空域上随机噪声的无方向性与有效信号的有向性的区别,通过局部数字特征,对数据进行选择后重组信号.方向选择性的增加,使得滤波过程能与不同方向的轴进行匹配,噪声被压制的同时保持信号的幅度;方向可调性,使得计算效率提高,且所需存储空间减少.仿真实验表明,采用此方法,信号保幅性和去噪效果均比传统的小波算法以及Curvelet变换好,在-5db信噪比下,本文方法保幅度为92.99%,信噪比提升221.774%,在实际地震信号处理中有明显的抑制噪声、保持有用信号的效果. 相似文献
14.
This article utilizes Savitzky–Golay (SG) filter to eliminate seismic random noise. This is a novel method for seismic random noise reduction in which SG filter adopts piecewise weighted polynomial via leastsquares estimation. Therefore, effective smoothing is achieved in extracting the original signal from noise environment while retaining the shape of the signal as close as possible to the original one. Although there are lots of classical methods such as Wiener filtering and wavelet denoising applied to eliminate seismic random noise, the SG filter outperforms them in approximating the true signal. SG filter will obtain a good tradeoff in waveform smoothing and valid signal preservation under suitable conditions. These are the appropriate window size and the polynomial degree. Through examples from synthetic seismic signals and field seismic data, we demonstrate the good performance of SG filter by comparing it with the Wiener filtering and wavelet denoising methods. 相似文献
15.
This contribution discusses the application of Chebyshev Type I filter for processing real earthquake records. Consideration
is given to the effects of filtering parameters (passband amplitude ripple and order of the filter) on the time series, strong-motion
parameters, Fourier Amplitude Spectrum of acceleration, and elastic displacement response spectra. Time histories of five
earthquakes with different moment magnitudes have been examined (from stations located close to the epicenters). Data processing
is based on application of bandpass Chebyshev filtering over frequency range with substantial signal to noise ratio (level
of 3 or approximately 3 dB). Applying different filters, we have monitored several important strong-motion parameters: peak
values of acceleration, velocity, and displacement; Arias intensity, acceleration/velocity spectrum intensity, significant
duration, etc. Some new results and conclusions concerning the influence of Chebyshev filter in data processing of records
have been summarized. The graphical and numerical outcomes obtained, as well as the comparison with a Butterworth causal filter,
are included in the work. The results could be potentially useful to engineering seismologists who need to evaluate and better
understand the merits of this type of filtering for strong-motion data processing. 相似文献
16.
The theory of statistical communication provides an invaluable framework within which it is possible to formulate design criteria and actually obtain solutions for digital filters. These are then applicable in a wide range of geophysical problems. The basic model for the filtering process considered here consists of an input signal, a desired output signal, and an actual output signal. If one minimizes the energy or power existing in the difference between desired and actual filter outputs, it becomes possible to solve for the so-called optimum, or least squares filter, commonly known as the “Wiener” filter. In this paper we derive from basic principles the theory leading to such filters. The analysis is carried out in the time domain in discrete form. We propose a model of a seismic trace in terms of a statistical communication system. This model trace is the sum of a signal time series plus a noise time series. If we assume that estimates of the signal shape and of the noise autocorrelation are available, we may calculate Wiener filters which will attenuate the noise and sharpen the signal. The net result of these operations can then in general be expected to increase seismic resolution. We show a few numerical examples to illustrate the model's applicability to situations one might find in practice. 相似文献
17.
Reiter , E.C., Toksoz , M.N. and Purdy , G.M. 1992. A semblance-guided median filter. Geophysical Prospecting 41 , 15–41. A slowness selective median filter based on information from a local set of traces is described and implemented. The filter is constructed in two steps, the first being an estimation of a preferred slowness and the second, the selection of a median or trimmed mean value to replace the original data point. A symmetric window of traces defining the filter aperture is selected about each trace to be filtered and the filter applied repeatedly to each time point. The preferred slowness is determined by scanning a range of linear moveouts within the user-specified slowness passband. Semblance is computed for each trial slowness and the preferred slowness selected from the peak semblance value. Data points collected along this preferred slowness are then sorted from lowest to highest and in the case of a pure median filter, the middle point(s) selected to replace the original data point. The output of the filter is therefore quite insensitive to large amplitude noise bursts, retaining the well-known beneficial properties of a traditional 1D median filter. Energy which is either incoherent over the filter aperture or lies outside the slowness passband, may be additionally suppressed by weighting the filter output by the measured peak semblance. This approach may be used as a velocity filter to estimate coherent signal within a specified slowness passband and reject coherent energy outside this range. For applications of this type, other velocity estimators may be used in place of our semblance measure to provide improved velocity estimation and better filter performance. The filter aperture may also be extended to provide increased velocity estimation, but will result in additional lateral smearing of signal. We show that, in addition to a velocity filter, our approach may be used to improve signal-to-noise ratios in noisy data. The median filter tends to suppress the amplitude of random background noise and semblance weighting may be used to reduce the amplitude of background noise further while enhancing coherent signal. We apply our method to vertical seismic profile data to separate upgoing and downgoing wavefields, and also to large-offset ocean bottom hydrophone data to enhance weak refracted and post-critically reflected energy. 相似文献
18.
David J. Brown Curt A. L. Szuberla David McCormack Pierrick Mialle 《Pure and Applied Geophysics》2014,171(3-5):575-585
A spatial filter is often attached to a microphone or microbarometer in order to reduce the noise caused by atmospheric turbulence. This filtering technique is based on the assumption that the coherence length of turbulence is smaller than the spatial extent of the filter, and so contributions from turbulence recorded at widely separated ports will tend to cancel while those of the signal of interest, which will have coherence length larger than the spatial dimensions of the filter, will be reinforced. In this paper, the plane wave response for a spatial filter with an arbitrary arrangement of open ports is determined. It is found that propagation over different port-to-sensor distances causes out-of-phase sinusoids to be summed at the central manifold and can lead to significant amplitude decay and phase delays as a function of frequency. The determined spatial filter plane wave response is superimposed on an array response typical of infrasound arrays that constitute the International Monitoring System infrasound network used for nuclear monitoring purposes. It is found that signal detection capability in terms of the Fisher Statistic can be significantly degraded at certain frequencies. The least-squares estimate of signal slowness can change by up to 1.5° and up to 10 m/s if an asymmetric arrangement of low and high frequency spatial filters is used. However, if a symmetric arrangement of filters is used the least-squares estimate of signal slowness is found to be largely unaffected, except near the predicted null frequency. 相似文献
19.
N. DE VOOGD 《Geophysical Prospecting》1974,22(2):354-369
Approximate deconvolution by means of Wiener filters has become standard practice in seismic data-processing. It is well-known that addition of a certain percentage of noise energy to the autocorrelation of the signal wavelet leads to a filter that does not increase, or even reduces, the noise level on the seismogram. This noise addition will, in general, cause a minimum phase signal to become mixed phase. A technique is presented for the calculation of the optimum-lag shaping filter for a contaminated signal wavelet. The advantages of this method over the more conventional approach are that it needs less arithmetic operations and that it automatically gives the filter with the optimum combination of shaping performance and noise reduction. 相似文献
20.
Wiener optimal filtering of GRACE data 总被引：4，自引：0，他引：4
We present a spatial averaging method for Gravity Recovery and Climate Experiment (GRACE) gravity-field solutions based on
the Wiener optimal filtering.
The optimal filter is designed from the least-square minimization of the difference between the desired and filtered signals.
It requires information about the power spectra of the desired gravitational signal and the contaminating noise, which is
inferred from the average GRACE degree-power spectrum. We show that the signal decreases with increasing spherical harmonic
degree j with approximately j−b, where b = 1.5 for GRACE data investigations. This is termed the Second Kaula rule of thumb for temporal variations of the
Earth’s gravity field. The degree power of the noise increases, in the logarithmic scale, linearly with increasing j.
The Wiener optimal filter obtained for the signal model with b = 1.5 closely corresponds to a Gaussian filter with a spatial
half width of 4° (∼440 km). We find that the filtered GRACE gravity signal is relatively insensitive to the exponent b of
the signal model, which indicates the robustness of Wiener optimal filtering. This is demonstrated using the GFZ-GRACE gravity-field
solution for April 2004. 相似文献