Disjunctive Kriging with Hard and Imprecise Data

This paper presents a methodology for assessing local probability distributions by disjunctive kriging when the available data set contains some imprecise measurements, like noisy or soft information or interval constraints. The basic idea consists in replacing the set of imprecise data by a set of pseudohard data simulated from their posterior distribution; an iterative algorithm based on the Gibbs sampler is proposed to achieve such a simulation step. The whole procedure is repeated many times and the final result is the average of the disjunctive kriging estimates computed from each simulated data set. Being data-independent, the kriging weights need to be calculated only once, which enables fast computing. The simulation procedure requires encoding each datum as a pre-posterior distribution and assuming a Markov property to allow the updating of pre-posterior distributions into posterior ones. Although it suffers some imperfections, disjunctive kriging turns out to be a much more flexible approach than conditional expectation, because of the vast class of models that allows its computation, namely isofactorial models.     

Spectral and Multiscale Signal-to-Noise Thresholding of Spherical Vector Fields

The basic concepts of spectral and multiscale selective reconstruction of (geophysically relevant) vector fields on the sphere from error-affected data is outlined in detail. The reconstruction mechanism is formulated under the assumption that spectral as well as multiscale approximation is well-representable in terms of only a certain number of expansion coefficients at the various resolution levels. It is shown that spectral denoising by means of orthogonal expansions in terms of vector spherical harmonics reflects global a priori information of the noise (e.g., in form of a covariance tensor field), whereas multiscale signal-to-noise thresholding can be performed under locally dependent noise information within a multiresolution analysis in terms of spherical vector wavelets. An application of the multiscale formalism to Earth's magnetic field determination is presented.     

场地条件对地震动相干函数的影响

本通过弹性半空间内位错源的数值解法研究了曲岩地震动相干函数，采用有限元方法分析了一些典型场地的地表地震动相干函数，两的对比结果表明：复杂场地对地震动相干函数的影响强烈。     

地震资料小波剖面制作系统

对不同的小波变换算法和小波基函数进行了研究，得到了适用于地震资料处理的最佳小波基函数，并用Visual C 语言开发了基于Windows操作平台下的地震资料小波剖面制作系统。利用小波剖面制作系统和最佳小波基函数对煤田实际地震资料进行了处理，取得了令人满意的地质效果。     

地震勘探中的炸药震源药量理论与实验分析

炸药由于具有良好的脉冲特性及高能量的特点而作为地震勘探中的主要震源，就炸药本身来说，在地震勘探中药量、井深等参数的选取对激发能量和激发频率有很大的影响。为此，本文运用炸药爆炸理论，从炸药作功角度来加以论述，并通过理论和实验分析得出选取一个最佳的药量和井深激发，既能提高炸药作功能力，又能增强激发能量，从而激发强能量的高频震源子波，达到指导野外地震采集和节约经济成本的目的。     

小波网络方法用于时间序列分析中非线性模型的研究

把小波网络方法用于时间序列分析中非线性模型，利用小波网络的非线性逼近能力，构造一个非线性函数，并对温度资料进行处理，得到了较好的拟合效果。     

小波分析在地质分形科学中的应用前景

在概述小波分析在分形研究中的应用原理及在分形构造与结构分析中的一些进展基础上，展望了小波分析在地质分形科学中的应用前景。     

探地雷达地下界面成像

由Maxwell方程,根据雷达波在介质中的高频传播特性,导出雷达波满足的波动方程。由此求出波速扰动量的成像公式,利用小波变换分析下界面的奇异性,从而达到雷达信号地下界面成像的目的。     

Seismic data compression based on integer wavelet transform

Introduction With the development of the seismological observation technique and deep-going of seismicdata application fields, especially the digitization of data in earthquake station networks, theimprovement of the precision, the data quantity increases as geometric order, which bringdifficulty to saving and transfering these data. To keep all information, seismic data, like medicalimages, should be compressed without error in many applications. In generally, traditionalcompression meth…