缺项无穷维Hamilton算子的纯虚谱补

在充分利用无穷维Hamilton算子结构特性的基础上,完全刻画了上三角型缺项无穷维Hamilton算子纯虚点谱的并集、纯虚剩余谱的并集和纯虚连续谱的并集,并将上述结论在一定条件下推广到了四块情形.     

Improved spectrum sharing algorithm based on feedback control information in cognitive radio networks

In order to avoid the system performance deterioration caused by the wireless fading channel and imperfect channel estimation in cognitive radio networks, the spectrum sharing problem with the consideration of feedback control information from the primary user is analyzed. An improved spectrum sharing algorithm based on the combination of the feedback control information and the optimization algorithm is proposed. The relaxation method is used to achieve the approximate spectrum sharing model, and the spectrum sharing strategy that satisfies the individual outage probability constraints can be obtained iteratively with the observed outage probability. Simulation results show that the proposed spectrum sharing algorithm can achieve the spectrum sharing strategy that satisfies the outage probability constraints and reduce the average outage probability without causing maximum transmission rate reduction of the secondary user.     

Discrete Euler processes and their applications

This paper introduces discrete Euler processes and shows their application in detecting and forecasting cycles in non‐stationary data where periodic behavior changes approximately linearly in time. A discrete Euler process becomes a classical stationary process if ‘time’ is transformed properly. By moving from one time domain to another, one may deform certain time‐varying data to non‐time‐varying data. With these non‐time‐varying data on the deformed timescale, one may use traditional tools to do parameter estimation and forecasts. The obtained results then can be transformed back to the original timescale. For datasets with an underlying discrete Euler process, the sample M‐spectrum and the spectra estimator of a Euler model (i.e., EAR spectral) are used to detect cycles of a Euler process. Beam response and whale data are used to demonstrate the usefulness of a Euler model. Copyright © 2008 John Wiley & Sons, Ltd.     

烟道对钢筋混凝土烟囱影响的分析

为了研究高耸烟囱筒壁开设烟道后对烟囱特性的影响,利用大型通用有限元计算软件ANSYS分别对120m、180m和240m 3种高度的烟囱进行数值模拟分析,分析内容包括考虑和不考虑烟道2种情况下的重力、风荷载及地震作用下的应力、应变。通过计算分析得到了考虑烟道时对烟囱的影响：烟道周围应力变化复杂,考虑烟道后结构的最大应力、应变的位置发生变化。     

基于MATLAB与LabVIEW的信号处理分析与研究

针对MATLAB与LabVIEW软件的不同特性,提出利用编程实现和虚拟实验相结合的方式对信号进行处理,并以快速傅里叶变换FFT、信号的滤波,频谱分析为例,说明了这两种软件在信号处理中的特点及优劣性。通过实例表明采用MATLAB与LabVIEW两种软件可以实现动态演示和仿真分析的有机结合,从而可以提高信号处理的快捷性,直观性与可靠性。     

2×2上三角算子矩阵的点剩余谱扰动

研究2×2上三角算子矩阵的谱扰动。基于空间分解技巧,通过对点谱和剩余谱的细分得到了固有点剩余谱和可能点剩余谱的刻画,并进一步讨论了固有点谱、固有剩余谱和固有点剩余谱之间的关系。     

宇宙射线研究和羊八井ARGO实验的简要介绍 *

2012年是宇宙线发现100周年。本文简单介绍了宇宙线的发现历史和对其进行探测的主要实验方法和手段，并对代表性的重要物理结果作了描述。最后，从中国的特点出发详细介绍了ARGO-YBJ 实验。     

Dempster-Shafer （D-S） algorithm with credit scale in spectrum sensing

In cognitive radio, the detection probability of primary user affects the signal receiving performance for both primary and secondary users significantly. In this paper, a new Dempster-Shafer (D-S) algorithm with credit scale for decision fusion in spectrum sensing is proposed for the purpose to improve the performance of detection in cognitive radio. The validity of this method is established by simulation in the environment of multiple cognitive users who know their signal to noise ratios (SNR) and a central node. The channels between the cognitive users and the central node are considered to be additive white Gaussian noise (AWGN). Compared with traditional data fusion rules, the proposed D-S algorithm with credit scale provides a better detection performance.     

光散射及其对血液流变参数的测量

 物理学中光散射现象的应用是通过捕捉散射源的散射光谱而获得被试物中丰富信息的，尤其是拉曼散射光谱和布里渊散射光谱，更能给出散射源的精细信息。这种检测具有无毒、无创、快速、准确等优点，若能应用于医学临床中，将使医学临床检测数据更加趋于准确，并能减轻病人的痛苦。本文描述了试图将这一物理现象应用于血液流变参数的检测中时所做的前期分类检测，以及对实验光路、设备、实验方法等所做的研究探索工作。