重力异常数据处理系统的开发与研究

利用SQL Server建立后台数据库和以面向对象的Delphi语言作为应用程序开发工具，在Windows 2000平台上开发了图形用户界面的重力异常数据处理系统。该系统集重力异常数据处理和数据库管理为一体，包括了数据输入、数据处理、数据查询、数据输出、数据库管理和系统安全管理六大功能模块。系统提供简洁的操作界面和友好的应用环境，便于用户使用。在实例运用中，将西藏地区的重力异常数据用该系统进行了处理。结果表明，系统操作简单方便．不仅能提高处理效率，还能实现对数据的系统管理。     

扩频通信中基于非抽取小波包变换的抗窄带干扰算法

提出了直接序列扩频通信系统中抑制窄带干扰的一种算法。该算法是将频移与非抽取小波包变换结合起来的一种方法。仿真结果表明该算法具有很好的鲁棒性，并且误比特率较低。     

Fluorescence discrimination and determination technique for phytoplankton composition by Coif2 wavelet packet

An in vivo fluorescence discrimination technique for phytoplankton population was developed by using Wavelet packet transform, cluster analysis and non-negative least squares. The technique was used to analyze water samples from different sea regions. For simulative mixtures, when dominant species account for 60%, 70%, 80%, 90% at the division level, the correct discrimination ratios (CDRs) are 83.0%, 99.1%, 99.7% and 99.9% with the relative contents of 58.5%, 68.4%, 77.7% and 86.3%, respectively; when the algae dominance are 60%, 70%, 80%, 90%, 100% at the genus level, the CDRs are 86.1%, 94.9%, 95.2%, 96.8% and 96.7%, respectively. For laboratory mixtures, the CDRs are 88.1% and 78.4% at the division and genus level, respectively. For field samples, the CDRs were 91.7% and 80% at the division and genus level, respectively (mesocosm experiments), and the CDRs were 100% and 66.7% at the division and genus level, respectively (Jiaozhou Bay). The fluorometric technique was used to estimate the phytoplankton community composition and relative abundance of different classes for the April 2010 cruise in the Yellow Sea with the results agreeing with those in published papers by other authors.     

深度包检测技术在防火墙中的应用探讨

介绍了深度包检测技术的背景、特点和原理，分析了该技术与普通防火墙技术的不同以及在防火墙中的应用。     

Comparative analysis of fracture identification methods based on gravity anomaly in Heilongjiang

The identification of fractures is of great importance in gravity and magnetic data processing and interpretation.In this study,four fracture identification methods are applied,and widely used in processing and analysis of the gravity anomaly,including vertical second derivative method,tilt derivative method,theta map method and normalized differential method,for gravity data acquired in a given area in Heilongjiang.By comparing the distribution of the zero contour or maximum contour,we summarize the application effects,and both advantages and disadvantages of each method.It is found that tilt derivative method and normalized differential method provide better effects than other two methods:the narrower anomaly gradient belt and higher identification precision of fracture or geological boundary.The inferred fractures and geological boundaries have a great match with the results obtained from geologic map and remote sensing data interpretation.Those study results have definitely provided the theoretical foundation for identifying faults and the geological boundaries.     

海洋垂直重力梯度异常的计算及其在地形反演中的应用

将测高重力异常、局部大地水准面和垂线偏差作为输入数据,计算海洋垂直重力梯度异常。以中西太平洋海域作为研究对象,对垂直重力梯度异常和海底地形的相关性进行分析,在20~200 km波段范围内利用梯度异常推估海底地形。结果表明,反演地形的相对精度在7.14%左右,在多海山地区精度较差。     

A new method to determine the start depth in gravity anomaly inversion

The start depth in gravity anomaly inversion is discussed in this paper, and a new method called “test comparing method” is presented to determine the start depth when both boring data and seismic data are not available. Anticline and syncline density interface models are designed to test the method; the calculated result agreed well with the designed value, which proved that the new method can be used to determine the start depth in the gravity anomaly inversion when boring data and seismic data are not available. Contribution No. 3370 from the Institute of Oceanology, Chinese Academy of Sciences. Project 49625609 supported by NSFC, and Young Scientist Lab. of Submarine Hydrothermal Activity Research.     

几种网络体系结构中数据包的效率比较分析

介绍了一种新型网络体系结构SUNA，并将它的数据包与其它两种层次型网络体系结构中的数据包进行了组成和效率上的比较分析。说明了在这方面，SUNA的数据处理效率的优势。     

Application of gravity inversion focused in Changbai Mountain

Focusing inversion is accomplished by the iterative of abnormal source to make the image gradually focused. It can better reflect the underground geological geometry and physical parameters. The model experiments in the study show that gravity focusing inversion allows inversion image stabilization and polymerization, which solves the multiple solutions and instability of inversion and so on. The method is applied to measured gravity data processing of certain region of Changbai Mountain, compared to Euler deconvolution, the results show that the method for determining the horizontal position and depth of underground anomalies has good efforts.     

3 D inversion of borehole gravity data using cokriging

Borehole gravity has been used in mineral exPloration recently with the advent of slim-hole gravime-ters. It is logical to Perform inversion to utilize the information in the newly acquired data. The i...     

基于免疫遗传小波分析的管道焊缝图像处理方法

针对难以实现管道焊缝图像信息准确提取的问题,利用免疫遗传算法优化小波系数,将小波变换与免疫遗传算法引入焊缝图像的处理过程,采用相似性距离分析传统小波、Canny算法、免疫遗传小波等算法优劣性.结果表明:该算法能够有效地抑制噪声干扰,去除图像边缘中的伪影,从而较好地实现图像边缘信息的清晰与细化,体现遗传小波变换算法在精确定位与抗噪声能力上的优越性.     

复小波在脑电同步性研究中的应用

基于小波变换的基本原理，研究了如何应用复小波量化信号同步程度；针对脑电信号的生理特点，提出了先对信号进行小波多尺度分解，提取信号主要特征，再用复小波（complex Corrected Morlet Wavelet）对信号做同步量化的方法；应用仿真数据和真实动物脑电信号验证了此方法在脑电信号同步性分析中的可行性和有效性。     

Division of high resolution sequence stratigraphy units with wavelet transform of logs in Dagang Oilfield

Division of high resolution sequence stratigraphy units based on wavelet transform of logging data is found to be good at identifying subtle cycles of geological process in Kongnan area of Dagang Oilfield. The analysis of multi-scales gyre of formation with 1-D continuous Dmey wavelet transform of log curve (GR) and 1-D discrete Daubechies wavelet transform of log curve (Rt) all make the division of sequence interfaces more objective and precise, which avoids the artificial influence with core analysis and the uncertainty with seismic data and core analysis.     

Division of high resolution sequence stratigraphy units with wavelet transform of logs in Dagang Oilfield

Division of high resolution sequence stratigraphy units based on wavelet transform of logging data is found to be good at identifying subtle cycles of geological process in Kongnan area of Dagang Oilfield. The anal- ysis of multi-scales gyre of formation with 1-D continuous Dmey wavelet transform of log curve （GR） and I-D discrete Daubechies wavelet transform of log curve （Rt） all make the division of sequence interfaces more objec- tive and precise, which avoids the artificial influence with core analysis and the uncertainty with seismic data and core analysis.     

Application of several potential field separation methods of gravity data in Vientiane of Laos area

Gravity data observed in geophysical surveys are the sum of potential field produced by all underground inhomogeneous geological sources with different scales, different patterns and different depths.The aim of gravity exploration is mainly to extract the meaningful local anomaly from the regional gravity anomaly which is helpful to detect the deep structure and delineate the favorable area for mineral prospecting.In this paper, several anomaly separation methods are theoretically discussed, including trend analysis method, finite element method, interpolating cut method and analytic continuation method.And, these methods are applied to achieve the delineation of potash-mine deposit in Vientiane.Through experiments, analysis and comparison, the separating result of upward continuation is shown to be satisfactory, for that can separate the ore body anomaly from the background field more effectively.Further, with the combination of the geological information and gravity anomaly, it infers four rich potash zones in the study area of Vientiane which is significant for future geological work.     

基于小波神经网络的盲区重力数据预测

引入精度较高的小波神经网络预测局部盲区重力数据。通过实验,对比分析了不同地形数据分布状况下经度、纬度二维输入和经度、纬度、高程三维输入小波神经网络盲区重力数据预测精度,发现利用小波神经网络可以较好地实现高精度盲区重力数据的预测,同等地形条件下三维输入预测的数据精度更高,更有利于后期利用插值方法制备高精度重力基准图。同时,利用克里金法和小波神经网络对真实盲区进行预测。结果表明,两者的预测值相差不大,但小波神经网络的预测结果更为平滑,表明小波神经网络有良好的适应性。     

Two dimensional tensor product B-spline wavelet scaling functions for the solution of two-dimensional unsteady diffusion equations

The fourth-order B spline wavelet scaling functions are used to solve the two-dimensional unsteady diffusion equation. The calculations from a case history indicate that the method provides high accuracy and the computational efficiency is enhanced due to the small matrix derived from this method.The respective features of 3-spline wavelet scaling functions, 4-spline wavelet scaling functions and quasi-wavelet used to solve the two-dimensional unsteady diffusion equation are compared. The proposed method has potential applications in many fields including marine science.     

Evolvement characteristics of population and economic gravity centers in tarim river basin, uygur autonomous region of xinjiang, China

Using the data at the county levcl and the regional gravity center model, we calculated six key socio-economic gravity centers, namely population, GDP, output values of primary, secondary and tertiary industries, and arable land area in the Tarim River Basin for each year from 1980 to 2009. We inspected the spatial dynamics of these centers and found that the gravity centers of population and economy evolved simultaneously. The disproportional growth between the population and the economy is also analyzed. The results show that： 1） The gravity centers of the GDR the output values of the main three industries and arable land area show migration trending from southwest to northeast, while the population gravity center shows an excessive growth in the southwest during the same time period. The migration amplitude of the GDP and output values of primary industry, secondary industry, tertiary industry are measurably higher than that of the population. 2） The population gravity center has a negative correlation with the gravity centers of secondary and tertiary industries output values in both longitudinal and latitudinal directions, and a positive correlation with that of primary industry output value in the longitudinal direction. Based on the analysis of correlation coefficient and offset distance, the imbalance between the population and the economy has increased since the 1980s, with regional economic differences now exceeding the international cordon.     

九寨沟震前地表重力变化向邻近空间高度的解析延拓

以2017年九寨沟7.0级地震为例,使用重力场向上解析延拓算法计算邻近空间中可能与孕震相关的重力变化,以探讨未来邻近空间无人重力测量技术在地震监测应用中的观测精度需求。结果表明,地面上约为70μGal的重力变化在20 km处衰减为18μGal。     

小波包分析在信号压缩中的应用

小波包分析是近些年在小波的基础上发展起来的,将信号在小波包最优基下展开,利用小波包最优基极好的空间、尺度定位性,使得信号的小波包变换系数在小波变换域尽可能的集中,从而使在不降低压缩信号的质量情况下,进一步地提高信号压缩比成为可能。据此,本文介绍了小波变换、多尺度分析,重点讨论了小波包分析以及小波包最佳基的选取,同时针对小波分析在信号压缩中的局限性,研究小波包分析来进行信号的压缩,从而提高了信号的压缩比和重建信号的质量,并给出实验验证。