Study of hybrid optical burst networks

We propose the hybrid optical burst switching (HOBS), and investigate the HOBS-based ring topology with numerical simulation. Results indicate that the packet loss ratio in HOBS is much less than that in optical burst switching(OBS) and its performance depends on some parameters such as the packet proportion, the electronic buffer size and the processing speed in the node. __________ Translated from Journal on Communications, 2005, 26(11): 7–11 (in Chinese)     

基于小波分析方法的装备价格指数变化研究

针对传统时间序列方法对物价指数的非平稳现象适应性较差的问题,提出运用小波分析方法,将原始数据分解成不同频率段的平稳信号,进而采用传统方法进行处理,从而提高了预测精度,获得令人满意的效果。     

DWT－Based Watermarking Scheme for Digital Images

A watermarking scheme for digital images is introduced. This method is based on discrete wavelet transform and spread spectrum technique. A discrete wavelet transformed binary signature image is expanded by an m-sequence and added to the large wavelet coefficients of a host image with a scale factor. Good balance be-tween transparency and robustness is achieved by the selection of the scale factor. In addition, the spread spec-trum technique is adopted to increase the robustness of this watermarking scheme. The experimental results show that the proposed method is of good performance and robustness for common image operations such as JPEG lossy compression, etc.     

小波网络在电力系统故障信号处理中的应用研究

从小波分析中对函数逼近表示的不同角度，分别介绍了3种主要的小波网络，并对这3种小波网络的构成、网络模型和学习算法等进行了详细介绍和比较，给出了它们之间的本质区别。在此基础之上，对小波网络在电力系统故障信号分类和故障数据压缩方面的应用进行了讨论，给出的相应数字仿真结果表明，小波网络在电力系统故障信号处理方面的应用是完全可行的。     

Numerical inversion of multidimensional Laplace transforms by the Laguerre method

Numerical transform inversion can be useful to solve stochastic models arising in the performance evaluation of telecommunications and computer systems. We contribute to this technique in this paper by extending our recently developed variant of the Laguerre method for numerically inverting Laplace transforms to multidimensional Laplace transforms. An important application of multidimensional inversion is to calculate time-dependent performance measures of stochastic systems. Key features of our new algorithm are: (1) an efficient FFT-based extension of our previously developed variant of the Fourierseries method to calculate the coefficients of the multidimensional Laguerre generating function, and (2) systematic methods for scaling to accelerate convergence of infinite series, using Wynn's ε-algorithm and exploiting geometric decay rates of Laguerre coefficients. These features greatly speed up the algorithm while controlling errors. We illustrate the effectiveness of our algorithm through numerical examples. For many problems, hundreds of function evaluations can be computed in just a few seconds.     

基于FRFT的线性调频信号映射方法的快速算法

针对基于分数傅立叶变换(Fractional Fourier transform，FRFT)的线性调频信号(LFM)的参数估计方法，提出了基于Radon变换的判决准则，并建立了相应的快速算法。该映射方法将具有同样调频斜率、同样多普勒中心频率、不同初始相位的信号映射到同一个点。该快速算法的计算量等同于FRFT的计算量，计算结果的精确度取决于连续两次的FRFT运算。     

互联网环境下基于预测控制的闭环控制方法

针对基于互联网的控制系统中，网络数据传输普遍存在随机时延、数据时序颠倒和数据丢失而难以实现闭环实时控制的问题，提出一种基于预测控制思想的闭环实时控制方法．该方法通过对采样数据附加时间标志，选择和利用当前时刻所能得到的最新输出测量值进行在线校正，并在互联网上实现预测控制策略．在模型准确或模型失配情况下，控制效果与无网络传输环节时接近．仿真结果表明了该方法的有效性．     

The Conditional Probability Density Function for a Reflected Brownian Motion

Models in economics and other fields often require a restricted Brownian motion because frequently implicit or explicit barriers restrict the domain. This paper contributes to the literature on reflected Brownian motion by deriving its conditional density function as a closed-form expression that consists of infinite sums of Gaussian densities. This solution is compared with an alternative, trigonometric expression derived earlier. Numerical analyses reveal that convergence properties of the expression derived in this paper are superior to those of the alternative representation for most practically relevant set-ups. Despite the complex appearance of the density formula, its use only requires fractions of a second on simple desktop computers such that, next to the theoretical appeal, also practicability is guaranteed.     

On neuro-wavelet modeling

We survey a number of applications of the wavelet transform in time series prediction. The Haar à trous wavelet transform is proposed as a means of handling time series data when future data is unknown. Results are exemplified on financial futures and S&P500 data. Nonlinear and linear multiresolution autoregressionmodels are studied. Experimentally, we show that multiresolution approaches can outperform the traditional single resolution approach to modeling and prediction.     

某高层住宅楼转换层施工案例分析

讨论了厚板迭合层的几种施工方法，并对其中二次迭合成型施工法进行了详细的论述，通过具体案例分析，进行了技术经济比较，为类似工程的应用提供了参考。