解线性方程组的子空间直交基裂分法

 提出了一种解线性方程组的新方法,目的在于降低方程组的阶数进行计算,比Schur算法在计算量方面大为减少,特别对阶数越高稀疏性越强的方程组计算量的减少越为显著,并且该方法的算法比较简单,是一个有效的算法,在实用和理论上都有一定意义;最后在计算机上举数值例子与Schur方法进行比较.     

广义系统的平稳振荡问题

运用Ｌｙａｐｕｎｏｖ函数方法研究一类广义系统的平稳振荡问题，并给出了实现的例子。     

Remote sensing of spatial patterns of urban renewal using linear spectral mixture analysis: A case of central urban area of Shanghai (1997―2000)

It is very important to integrate remote sensing with urban geography that the spectral mixture analysis technique is applied to urban land cover evolvement and its eco-environmental effect. Urban land cover is mainly composed of complicated artificial materials, which is the key factor to limit the development of the spectral mixture analysis technique. There are two main aspects in which the technique of spectral mixture analysis is applied to urban geography： one is to calculate vegetation fraction; the other is to build quantitative model of the urban impervious surface obtained from the combination between high albedo fraction and low albedo fraction. The technique of spectral mixture analysis is firstly applied to study urban renewal pattern, scale and mode which happened in Shanghai City from 1997 to 2000,     

用Mises屈服条件求简支圆板在线性和均布荷载共同作用下的极限荷载

应用Mises屈服条件分析简支圆板在线性荷载和均布荷载共同作用下的极限荷载,并选择不同的试函数,给出极限荷载的变化范围.     

一类混杂系统的稳定性分析

控制系统中存在的时滞给系统的理论分析和工程应用带来了很大的困难。出现时滞后如何保证系统仍能稳定的工作是一个非常重要的问题。本文考虑了一类带有时滞摄动的混杂系统的稳定性，利用李雅普诺夫函数法给出了混杂系统渐近稳定的条件且利用MATLAB线性矩阵不等式(LMI)工具箱计算出保证系统稳定的最大摄动值及切换域。仿真结果验证了方法的有效性。     

具有多个无界时滞中立型系统的渐近稳定性

对于带有多个无界时滞的线性和非线性中立型系统的零解渐近稳定性，给出一些新的充分条件，推广并改进了有关的研究．     

变系数Logistic模型估计及其应用

以线性Logistic模型为基础,通过假定其中的回归变量系数是某一度量空间中点的任意函数,提出了一类有广泛应用背景的变系数Logistic模型.该模型提高了线性Logistic模型的灵活性和适应性.基于局部加权最大似然估计方法,系统讨论了变系数Logistic模型的拟合,以及与之相关的局部权系统和其中光滑参数的确定.最后,探讨了本模型在判别分析中的应用.     

关于剩余类环Z_m上的线性方程组

给出了剩余类环Zm中的整除、Zm上的矩阵的初等变换以及行列式因子等概念,并说明它在Zm上的线性方程组中的应用,由此很容易得出k个n元整系数线性型是正交组的充要条件.     

立方氮化硼横向电光调制半波电压的测量

宽禁带半导体材料立方氮化硼(cBN)具有闪锌矿结构和43m点群对称性,因此cBN晶体也是电光晶体。用cBN晶体进行了横向电光调制,首次观察到cBN的电光效应,并且测得了样品的半波电压．     

Blind Speech Watermarking Method with Frame Self-Synchronization Based on Spread-Spectrum Using Linear Prediction Residue

State-of-the-art speech watermarking techniques enable speech signals to be authenticated and protected against any malicious attack to ensure secure speech communication. In general, reliable speech watermarking methods must satisfy four requirements: inaudibility, robustness, blind-detectability, and confidentiality. We previously proposed a method of non-blind speech watermarking based on direct spread spectrum (DSS) using a linear prediction (LP) scheme to solve the first two issues (inaudibility and robustness) due to distortion by spread spectrum. This method not only effectively embeds watermarks with small distortion but also has the same robustness as the DSS method. There are, however, two remaining issues with blind-detectability and confidentiality. In this work, we attempt to resolve these issues by developing an approach called the LP-DSS scheme, which takes two forms of data embedding for blind detection and frame synchronization. We incorporate blind detection with frame synchronization into the scheme to satisfy blind-detectability and incorporate two forms of data embedding process, front-side and back-side embedding for blind detection and frame synchronization, to satisfy confidentiality. We evaluated these improved processes by carrying out four objective tests (PESQ, LSD, Bit-error-rate, and accuracy of frame synchronization) to determine whether inaudibility and blind-detectability could be satisfied. We also evaluated all combinations with the two forms of data embedding for blind detection with frame synchronization by carrying out BER tests to determine whether confidentiality could be satisfied. Finally, we comparatively evaluated the proposed method by carrying out ten robustness tests against various processing and attacks. Our findings showed that an inaudible, robust, blindly detectable, and confidential speech watermarking method based on the proposed LP-DSS scheme could be achieved.