瞬态瑞利波相速度算法研究

瑞利波勘探是近年来发展起来的一种新型的岩土原位测试勘探方法。目前对其计算出的相速度偏差太大，因此本文利用平面瑞利波在层状介质条件下的频散特性，对瞬态瑞利波相速度的算法进行了研究。利用快速傅里叶变换(FFT)方法，提出了对信号进行预先调制，之后再对所求得的相位进行修正的方法；另为还须考虑其仪器采集信号时的时间差影响。根据以上算法求得的相速度更接近瑞利波真速度，从而提高了相速度的分辨率和精确度。通过现场试验总结出了三种类型信号模板。     

高铬钢碳化物晶内缺陷的STM及FFT分析

用扫描隧道显微镜（ＳＴＭ）观察了Ｃｒ１２合金中（ＣｒＦｅ）７Ｃ３碳化物的精细结构，证实其晶粒内部存在层错亚结构；并发现同一晶粒内存在几个沿不同位向排列的平行层错群，不同平行群间呈约９０°夹角。ＳＴＭ图象的快速Ｆｏｕｒｉｅｒ变换（ＦＦＴ）及逆变换（ＩＦＦＴ）结果表明，层错排列具有一定周期性。实验测得层错面间距为 ５０ ｎｍ。     

基于专用芯片的高速实时FFT系统实现研究

研究了基于专用芯片的高速实时ＦＦＴ系统的点数和精度问题，分析了统一的ＦＦＴ算法与ＦＦＴ专用芯片的级联问题；定标算法与ＦＦＴ专用芯片的精度问题，提出了一种高速实时ＦＦＴ系统的实现方案和性能测试方法，并根据实测数据讨论了ＦＦＴ系统的精度。     

基于DPPEJ的并行计算研究

对DPPEJ(Distributed Parallel Programming Environment for Java)软件包的工作原理作了详细的介绍,并采用Java语言实现了运行于DPPEJ环境下的FFT迭代算法和递归算法的并行计算程序.通过对实验数据的性能分析表明,由于Java代码的简单性和可移植性,基于DPPEJ的Java并行计算程序通过使用RMI远程方法调用可以较好地利用网络环境下的计算资源进行分布式的并行计算,具有一定的应用前景.     

OFDM信号保护间隔的设计方案

在无线通信中，由于无线信道的多径衰落极大地恶化了通信质量。为了达到优良的误码率性能。考虑在传送通路上产生的多径衰落状态和符号同步的位置是重要的，合适的保护间隔（GI）设计是必须的。在OFDM通信方式中，把指数函数型延迟作为多径环境的模型，从传送效率和误码率特性的角度出发，研究了关于在发送端应附加的GI长度和接收端应去除的GI长度的设计方法，在考虑同步误差时，使OFDM具有能承受多径衰落的优良特性。     

粒子群优化算法及其应用

粒子群算法是一种群体优化算法,详细介绍了粒子群算法的基本原理、参数选择及其应用领域.     

基于傅立叶变换的SVJ模型的欧式期权定价

为了更加精确的计算期权价格,将结合随机波动和跳扩散模型(以下简称SVJ模型)以更好的描述期权标的资产价格过程,然而这样的价格过程无法得到概率密度函数的封闭形式,而只能得到包含特殊函数和无限求和的复杂的表达式.不过它们的特征函数都是封闭且是唯一的,因而可以通过它们的特征函数,并运用两种傅立叶变换的方法来求出期权价格.其中FFT算法计算的结果将与Monte Carlo模拟得出的结果进行比较,然后再将SVJ模型的计算结果和Black-Scholes模型进行比较.     

Gauss–Seidel Estimation of Generalized Linear Mixed Models With Application to Poisson Modeling of Spatially Varying Disease Rates

Generalized linear mixed models (GLMMs) are often fit by computational procedures such as penalized quasi-likelihood (PQL). Special cases of GLMMs are generalized linear models (GLMs), which are often fit using algorithms like iterative weighted least squares (IWLS). High computational costs and memory space constraints make it difficult to apply these iterative procedures to datasets having a very large number of records.

We propose a computationally efficient strategy based on the Gauss–Seidel algorithm that iteratively fits submodels of the GLMM to collapsed versions of the data. The strategy is applied to investigate the relationship between ischemic heart disease, socioeconomic status, and age/gender category in New South Wales, Australia, based on outcome data consisting of approximately 33 million records. For Poisson and binomial regression models, the Gauss–Seidel approach is found to substantially outperform existing methods in terms of maximum analyzable sample size. Remarkably, for both models, the average time per iteration and the total time until convergence of the Gauss–Seidel procedure are less than 0.3% of the corresponding times for the IWLS algorithm. Platform-independent pseudo-code for fitting GLMS, as well as the source code used to generate and analyze the datasets in the simulation studies, are available online as supplemental materials.     

Formation of the Interphase of a Cured Epoxy Resin Near a Metal Surface: Reactive Coarse-Grained Molecular Dynamics Simulations

Mesoscale molecular dynamics simulations are performed to analyze the curing process of an epoxy resin with polyfunctional amines on a generic surface. The coarse grained potentials were derived from all-atomistic molecular dynamics simulations using iterative Boltzmann inversion. The reactive scheme incorporates cross-linking between an epoxy resin and an amine, as well as amine adsorption on the surface. The structure of the cured network is examined and compared with equilibrium properties of the uncured system. Special attention has been paid on the implications of the surface that is believed to play a crucial role in the performance of epoxy systems.