瑞利衰落多重分集后LDPC的性能分析

针对瑞利信道条件下多个收发通道分集合并后LDPC的纠错性能问题,提出了一种通用的计算方法。该方法根据合并方式如最大比值合并、等增益合并、选择合并与各分集通道的平均输入信噪比计算合并后信噪比的概率密度函数,用多项式拟合的方法得到LDPC在AWGN信道中的纠错性能公式,对该式按合并信噪比的概率密度积分得到瑞利信道下LDPC的纠错能力表达式。以一种有限几何LDPC码为例计算其编码增益,分析了在最大比值合并条件下分集重数与LDPC编码增益的关系。     

"Unlearning" automatic biases: The malleability of implicit prejudice and stereotypes.

The present research suggests that automatic and controlled intergroup biases can be modified through diversity education. In 2 experiments, students enrolled in a prejudice and conflict seminar showed significantly reduced implicit and explicit anti-Black biases, compared with control students. The authors explored correlates of prejudice and stereotype reduction. In each experiment, seminar students' implicit and explicit change scores positively covaried with factors suggestive of affective and cognitive processes, respectively. The findings show the malleability of implicit prejudice and stereotypes and suggest that these may effectively be changed through affective processes. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

遗传算法中群体多样性的研究与应用

遗传算法中,初始群体的特性对计算结果和计算效率均有重要影响,要实现全局最优解,初始群体在解空间中应尽量分散,标准遗传算法是按预定或随机方法产生一组初始群体,这样就导致初始群体在解空间中分布不均匀。本文阐述了用相似度和适应度值对群体中每两个个体进行逐位比较,剔除相似个体,选择不同模式的个体组成新的群体,增加了群体的多样性,尤其在计算初期,能够有效的避免早熟问题的产生。最后,通过实例应用matlab7.0编程测试说明了这种方法的可行性。     

A cross-layer strategy for cooperative diversity in wireless sensor networks

We investigate the problem of how to minimize the energy consumption in multi-hop Wireless Sensor Network (WSN), under the constraint of end-to-end reliability Quality of Seervice (QoS) requirement. Based on the investigation, we jointly consider the routing, relay selection and power allocation algorithm, and present a novel distributed cross-layer strategy using opportunistic relaying scheme for cooperative communication. The results show that under the same QoS requirement, the proposed cross-layer strategy performs better than other cross-layer cooperative communication algorithms in energy efficiency. We also investigated the impact of several parameters on the energy efficiency of the cooperative communication in WSNs, thus can be used to provide guidelines to decide when and how to apply cooperation for a given setup.     

少用户环境下机会波束形成的改进方法

对无线网络,使用波束形成技术可以提高系统性能,机会波束形成技术通过随机发射权重向量能够充分利用无线通信网络中固有的多用户分集,提高系统吞吐量,但是在少用户的时候由于找不到匹配的用户,它的性能下降很快。相干机会波束形成在少用户的时候能够提高系统性能,但随着时延的增加系统性能又会降低,本文结合权重估计方法和相干机会波束形成方法,在性能提高的基础上解决了相干机会波束形成的时延问题,仿真结果表明该方法是有效的。     

Transmitter polarization optimization with polarimetric MIMO radar for mainlobe interference suppression

Polarization diverse design of the transmit waveforms based on the property of the target scattering matrix provides better performance than transmitting waveforms with fixed polarizations, especially for mainlobe interference suppression applications. In this work, we propose a radar system combines the advantages of multiple-input–multiple-output (MIMO) systems with the advantages offered by optimally choosing the transmitter polarizations, in order to achieve a better mainlobe interference suppression performance. The polarization diversity is employed in the transmit array, while the receive array adopts 2-D vector sensors to measure the horizontal and vertical components of the received signal. The optimal transmitter polarizations can be obtained by maximizing the output signal-to-interference-plus-noise ratio (SINR) in each coherent processing interval (CPI). In addition, the discrimination method for the target and the interference is studied in this paper, along with the target scattering matrix estimation method. Simulation results demonstrate that interference can be effectively discriminated and suppressed with the radar configuration, and better interference suppression performance is achieved with the optimal transmitter polarizations.     

基于天线分集的一种超宽带Rake接收机结构

提出了一种新的跳时超宽带无线通信系统的接收机结构,这种接收机将天线分集和Rake接收相结合, 从而提高了系统对多用户干扰和多径衰落的抑制能力。理论分析和仿真结果表明,这种接收机的性能优于常规的Rake接收机。     

How do giant pandas (Ailuropoda melanoleuca) respond to varying properties of enrichments? A comparison of behavioral profiles among five enrichment items.

This study investigated the responses of 14 giant pandas (Ailuropoda melanoleuca) to 5 enrichment items (3 manipulable objects, 2 feeding devices) that possess different properties affording varying behavioral opportunities. Enrichment items were quantitatively described by using 12 properties. Pandas displayed no preferences among the 5 enrichment treatments, all of which had similar positive effects on behavioral measures of well-being (behavioral diversity, stereotypy). However, each item promoted a distinct behavioral profile, readily mapped onto the enrichment's properties. These results suggest that it may be important to stimulate behavioral diversity but that specific behaviors or enrichment properties are not required. The unique behavioral topography seen with these enrichments also suggests that providing multiple enrichments with varying properties will maximize overall behavioral diversity. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Evaluation of the genetic polymorphism among Lactococcus lactis subsp. cremoris strains using comparative genomic hybridization and multilocus sequence analysis

Genetic diversity of Lactococcus lactis subsp. cremoris provides an important reservoir of industrial functions. Knowledge of strain diversity is an important step for the selection of starter cultures, because technological and sensorial attributes are strain-dependent and it may help to distinguish strains with particular technological properties and performances. In the present study, microarray-based comparative genomic hybridization (CGH) and multilocus sequence analysis (MLSA) were used to investigate the genetic variation among eight strains of Lactococcus lactis subsp. cremoris. The CGH analysis allows strain grouping and identification of absent or divergent genes involved in metabolism, amino acid biosynthesis, osmoregulation and proteolysis. The MLSA clustering of strains based on the partial sequence of eight genes shows good correlation with the CGH grouping. Strains HP, ATCC 19257 and Wg2 were clustered together, followed by E8, and finally SK11 was in a separate cluster. The combined information provides genetic markers for distinguishing between strains and their variants. By selecting strains according to their genetic profiles, compatible and complementary mixed starters can be formulated, opening new avenues for industrial applications.