MC-CDMA系统迭代检测中的一种信道估计算法

在DS—CDMA系统中，联合译码的迭代多用户检测是克服多址干扰增加系统容量的有效方法。本文将多用户检测和译码相结合的迭代检测技术应用于MC—CDMA系统，其中，多用户检测器由串行干扰消除和其后的MMSE滤波器组成。文中提出一种时域信道估计作为迭代初始值的频域信道估计算法，比单纯的频域信道估计方法节约导频符号数量，并且由于信道估计性能的改善，加快了迭代检测的收敛速度。     

基于单片机控制的无线语音保密通信系统的研究

本文介绍一种基于单片机控制的无线语音保密通信系统，该系统采用一种新的混沌脉冲宽度调制方式，将数字信息隐藏在脉冲的宽度之中，实现语音信号的无线保密通信。对仿真结果、实验波形进行了分析，详细讨论了该通信系统的同步问题。     

基于聚类算法实现信号盲分类

本文解决了信号处理、工业控制等领域存在的非平稳信号盲分类问题。在聚类中广泛应用的K-Means算法及其它基于中心的聚类算法有两个共同的缺陷-需要预先确定类数目且随机初始化中心引起性能不稳定。本文提出的算法较好地解决了这两个问题，提高了算法稳定性，实现了非平稳信号盲分类。提取非平稳信号的小波系数作为聚类的样本空间，分析聚类结果的统计偏差以估计类的数目，采用调和均值准则进行分类。最后给出的仿真结果表明本文提出的方法较传统的K-Means算法明显降低分类错误率。     

非编码MPSK-OFDM系统判决指导的相位估计研究

本文论及非编码MPSK-OFDM系统载波跟踪中的重要部件?判决指导的相位估计器(PED)的研究.多载波系统的相位估计可以表示为各子载波相位估计的加权和.文中在分析单载波的基础上考察了符号判决错误对多载波相位估计的影响,并提出了两种改进方案,一是给出一组新的加权系数,改善了PED在较低信噪比的性能;二是由导频子载波相位估计指导其它数据子载波相位估计,获得了(-(/)M (/)M)区间上的线性无偏估计器.文中对两种改进算法进行了分析比较和仿真验证.     

API长圆螺纹套管抗粘结性能的试验研究

通过对国内外大量石油套管螺纹参数的测量和全尺寸的模拟试验，以及对测量和试验数据的理论分析，找出了影响国产套管发生粘扣的原因，并在实际生产中实施验证。采取相应的措施改善了套管的抗粘结性能，同时套管的密封和抗滑脱性能并未下降。     

Modeling of Temperature–Frequency Correlation Using Combined Principal Component Analysis and Support Vector Regression Technique

A good understanding of environmental effects on structural modal properties is essential for reliable performance of vibration-based damage diagnosis methods. In this paper, a method of combining principal component analysis (PCA) and support vector regression (SVR) technique is proposed for modeling temperature-caused variability of modal frequencies for structures instrumented with long-term monitoring systems. PCA is first applied to extract principal components from the measured temperatures for dimensionality reduction. The predominant feature vectors in conjunction with the measured modal frequencies are then fed into a support vector algorithm to formulate regression models that may take into account thermal inertia effect. The research is focused on proper selection of the hyperparameters to obtain SVR models with good generalization performance. A grid search method with cross validation and a heuristic method are utilized for determining the optimal values of SVR hyperparameters. The proposed method is compared with the method directly using measurement data to train SVR models and the multivariate linear regression (MLR) method through the use of long-term measurement data from a cable-stayed bridge. It is shown that PCA-compressed features make the training and validation of SVR models more efficient in both model accuracy and computational costs, and the formulated SVR model performs much better than the MLR model in generalization performance. When continuously measured data is available, the SVR model formulated taking into account thermal inertia effect can achieve more accurate prediction than that without considering thermal inertia effect.     

硫酸盐浆厂污水处理工程及单元技术特点

本文简略介绍云南某硫酸盐浆厂污水处理工程采用的国内不多见的污水单元技术，并对其先进性和实用性效果进行评价和探讨。     

Experimental Study on Polymer Artificial Bone with HA Coated and Fiber Liners

1Introduction HA(hydroxyapatite)wasakindofbioactiveceram ics,whichhadexcellentbiocompatibilityandtissueaffin ityinthatitscomponentsweresimilartothoseofhuman bone[1].Soitwasthebestknownhumanbonesubstitute,andunprecedentedeffecthadbeenharvestedinrecenttwo d…     

东江水库诱发地震探讨

阐述了东江水库基本情况，通过对库区及周围的地质构造特点、诱发地震监测，总结出东江水库地震的活动特征和诱发地震活动趋势。     

Stochastic nonlinear stabilization — II: Inverse optimality

After considering the stabilization of a specific class of stochastic nonlinear systems in a companion paper, in this second part, we address the classical question of when is a stabilizing (in probability) controller optimal and show that for every system with a stochastic control Lyapunov function it is possible to construct a controller which is optimal with respect to a meaningful cost functional. Then we return to the problem from Part I and design an optimal backstepping controller whose cost functional includes penalty on control effort and which has an infinite gain margin.