基于子空间-斜投影的MIMO-OFDM盲信道估计算法

信道估计是MIMO-OFDM系统的关键技术,相比非盲信道估计而言,盲估计技术具有带宽利用率高,系统传输效率高的优点.基于子空间盲估计算法在信道变化不是很快的情况下有比较精确的估计效果,但是多径衰落、噪声等会引起子空间之间的非正交,从而导致估计性能急剧恶化,此时采用斜投影可以很好的解决这个问题,仿真结果表明子空间——斜投影算法对信道估计性能有明显的提高.     

A Theoretical Model for Release Dynamics of an Antifungal Agent Covalently Bonded to the Chitosan

The aim of the study was to create a mathematical model useful for monitoring the release of bioactive aldehydes covalently bonded to the chitosan by reversible imine linkage, considered as a polymer–drug system. For this purpose, two hydrogels were prepared by the acid condensation reaction of chitosan with the antifungal 2-formyl-phenyl-boronic acid and their particularities; influencing the release of the antifungal aldehyde by shifting the imination equilibrium to the reagents was considered, i.e., the supramolecular nature of the hydrogels was highlighted by polarized light microscopy, while scanning electron microscopy showed their microporous morphology. Furthermore, the in vitro fungicidal activity was investigated on two fungal strains and the in vitro release curves of the antifungal aldehyde triggered by the pH stimulus were drawn. The theoretical model was developed starting from the hypothesis that the imine-chitosan system, both structurally and functionally, can be assimilated, from a mathematical point of view, with a multifractal object, and its dynamics were analyzed in the framework of the Scale Relativity Theory. Thus, through Riccati-type gauges, two synchronous dynamics, one in the scale space, associated with the fungicidal activity, and the other in the usual space, associated with the antifungal aldehyde release, become operational. Their synchronicity, reducible to the isomorphism of two SL(2R)-type groups, implies, by means of its joint invariant functions, bioactive aldehyde compound release dynamics in the form of “kink–antikink pairs” dynamics of a multifractal type. Finally, the theoretical model was validated through the experimental data.     

Diagramme polythermique du systeme ternaire H2O—Al(NO3)3—Mg(NO3)2

The solid—liquid equilibria of the ternary system H₂O—Al(NO₃)₃—Mg(NO₃)₂ were studied at –30, –20, –10 and 0°C by using a synthetic method which allows to detemine all the characteristic points of isothermal sections. The stable solid phases which appear are respectively: ice, Al(NO₃)₃·9H₂O, Mg(NO₃)₂·9H₂O and Mg(NO₃)₂·6H₂O. Neither double salts nor mixed crystals are observed in the temperature and composition field studied. Polytherm diagram layout show two invariant transformations correspond with an eutectic point and a peritectic point.This revised version was published online in November 2005 with corrections to the Cover Date.     

测定晶体结构的系统试差法的研究(II)系统位相超解方程得改进

本文证明了|E(k)E(h-k)|的大小是由结构决定的。与原点无关, 在这种认识的基础上, 提出了用归一化结构振幅|E|估量它的三种模式。特别是通过四位相结构不变量的二级Noighborhood~[1,2]原理解决三位相不变量间的匹配问题而算出的|E(k)E(h-k)|_(QE), 这是在没有位相数据的情况下对它的理想的估量。予期它能改进系统试差法中位相超解方程的功能, 提高测得位相的准确性。     

双相角结构不变量与Harker作图法在柯卡因卤化物结构相角计算中的联合应用

结合Hauptman的概率式与Harker作图法计算了不同条件下柯卡因卤化物的结构相角,分析了模拟的实验误差对相角精度的影响,为使用真实实验数据进行计算提供了参考依据。     

拉曼光谱子空间重合识别修正液中氯代烃

利用拉曼光谱子空间重合对修正液中氯代烃成分进行识别分析。通过计算混合卤代烃组分与标准样品数据库拉曼光谱之间的子间空夹角,依据夹角变化排列筛选出含有最少标准样品数目的子空间,该子空间所含的标准样品组成为待定性混合氯代烃组成,从而实现对混合氯代烃组分的定性分析。将该方法用于修正液中氯代烃的成分定性分析,准确率达100%。该方法操作简单,检测时间短,准确率高,适用于多组分混合体系中的物质定性分析。     

基于压缩感知的智能天线 DOA 估计算法

波达方向（direction of arrival,DOA）估计是利用具有一定空间结构的天线阵元对空间信源的来波方向进行估计。为解决MUSIC算法和ESPRIT算法在智能天线DOA估计中空间谱分辨率和抗噪声性能方面的不足,依据压缩感知理论的贪婪算法思想,将匹配追踪（matching pursuit,MP）算法和子空间追踪（subspace pursuit,SP）算法应用在DOA估计中,即提出2种新的算法MP-DOA和SP-DOA。这2种算法主要包括原子库建立、信号投影、最佳匹配原子筛选及信号特征提取等过程。4种算法的仿真实验与对比分析结果表明,MP-DOA算法在低信噪比情况下较其他3种算法性能更优越,SP-DOA算法在角度分辨率和对信源数的包容方面的性能较其他3种算法优越,也验证了应用压缩感知理论的优越性。     

Characterization of derivations on B(X) by local actions

Let A be a unital algebra and M be a unital A-bimodule. A linear map δ : A →M is said to be Jordan derivable at a nontrivial idempotent P ∈ A if δ(A) ? B + A ? δ(B) =δ(A ? B) for any A, B ∈ A with A ? B = P, here A ? B = AB + BA is the usual Jordan product. In this article, we show that if A = Alg N is a Hilbert space nest algebra and M = B(H), or A = M = B(X), then, a linear map δ : A → M is Jordan derivable at a nontrivial projection P ∈ N or an arbitrary but fixed nontrivial idempotent P ∈ B(X) if and only if it is a derivation. New equivalent characterization of derivations on these operator algebras was obtained.     

Sufficient Dimension Reduction and Variable Selection for Large-p-Small-n Data With Highly Correlated Predictors

Sufficient dimension reduction (SDR) is a paradigm for reducing the dimension of the predictors without losing regression information. Most SDR methods require inverting the covariance matrix of the predictors. This hinders their use in the analysis of contemporary datasets where the number of predictors exceeds the available sample size and the predictors are highly correlated. To this end, by incorporating the seeded SDR idea and the sequential dimension-reduction framework, we propose a SDR method for high-dimensional data with correlated predictors. The performance of the proposed method is studied via extensive simulations. To demonstrate its use, an application to microarray gene expression data where the response is the production rate of riboflavin (vitamin B₂) is presented.