USB数据采集与信号处理技术在TCD中的应用

设计并实现一个基于USB数据接口技术的TCD诊断系统.主要讨论TCD诊断系统中的USB接口模块技术以及数据采集与信号处理模块的设计与实现,阐述TCD诊断系统的硬件体系结构及USB外围设备开发的相关技术.     

基于DSP的磁悬浮轴承数字控制系统

主动磁悬浮轴承是利用电磁铁产生可控电磁力将转子无接触地悬浮于定子间气隙中的一种新型轴承.为了实现高精度的控制,在介绍主动磁悬浮轴承的总体结构及工作原理的基础上,给出了基于数字信号处理器(DSP)TMS320 F2812芯片的磁轴承控制系统的硬件及软件设计方案,分析了变参数PID控制的原理,并对所设计的试验装置的控制策略进行了仿真研究.仿真结果表明:所设计的磁轴承数字控制系统具有稳定性好、响应速度快、超调量小和控制精度高等优点,满足了磁轴承控制性能的要求.     

低频信号在玄武岩地区深层成像中的应用研究

以江汉油田陵北玄武岩地区深层成像问题为例,分析了玄武岩地区深层成像困难的主要原因,并在此基础上利用地震波波场数值模拟技术模拟了玄武岩地区地震波的传播规律.结果表明:非均匀性很强的高速玄武岩地层会对常规频率勘探地震波场产生散射和屏蔽作用;长波长信号具有较强的穿透非均质体的能力.     

基于FPGA的基-16FFT模块的实现

阐述了采用Alter公司的StratixⅡ系列FPGA设计高速FFT处理器的实现方法及技巧;充分利用其芯片的硬件资源,减少复杂逻辑,采用流水方式对复数数据实现了FFT运算;整个设计采用流水与并行方式尽量避免“瓶颈”的出现,提高系统时钟频率,达到高速处理;实验表明,此处理器既有专用ASIC电路的快速性,又有DSP器件灵活性的特点,适合用于高速数字信号处理。     

基于双稳阱内随机共振的OFDM信号检测方法研究

为了解决OFDM(orthogonal frequency division multiplexing)传输系统中接收端对微弱OFDM信号的检测问题,本文将双稳阱内随机共振系统与OFDM信号增强和解调过程相结合,推导了多载波信号激励下双稳阱内随机共振系统从零状态变化到势阱状态所需时间的解析表达式,分析了暂态响应导致的多载波信号在一个符号内的能量损失问题;推导了系统稳态输出方程,分析了稳态过程对子载波已调信号叠加直流偏置分量的问题;探讨了在不同系统参数和噪声强度下阱内随机共振对OFDM信号解调性能的影响。仿真结果表明：该方法可有效实现信号与噪声阱内协同作用,提高OFDM信号的检测性能。     

PCR仪中TEC模块的PWM功率驱动装置设计

本文针对PCR仪温控系统中TEC模块的驱动要求,设计了其PWM功率驱动装置。以SG3525A为核心设计了PWM信号产生电路,采用功率模块MSK4226实现PWM信号功率的放大,设计了低通滤波器和保护电路,并采用MSP430单片机对功率驱动装置进行控制。测试结果表明此PWM功率驱动装置很好地满足了所用TEC模块的驱动要求。应用本功率驱动装置的PCR仪取得了较好的温度控制效果：升温速率〉2．2℃／s,降温速率〉1．8℃／s,｜稳态误差｜〈0．20℃,超调量〈1．0℃。     

Apolipoprotein M affecting lipid metabolism or just catching a ride with lipoproteins in the circulation?

Apolipoprotein M (apoM) is a novel apolipoprotein found mainly in high-density lipoproteins (HDL). Its function is yet to be defined. ApoM (25 kDa) has a typical lipocalin ?-barrel fold and a hydrophobic pocket. Retinoids bind apoM but with low affinity and may not be the natural ligands. ApoM retains its signal peptide, which serves as a hydrophobic anchor to the lipoproteins. This prevents apoM from being lost in the urine. Approximately 5% of HDL carries an apoM molecule. ApoM in plasma (1 μM) correlates strongly with both low-density lipoprotein (LDL) and HDL cholesterol, suggesting a link to cholesterol metabolism. However, in casecontrol studies, apoM levels in patients with coronary heart disease (CHD) and controls were similar, suggesting apoM levels not to affect the risk for CHD in humans. Experiments in transgenic mice suggested apoM to have antiatherogenic properties; possible mechanisms include increased formation of pre-? HDL, enhanced cholesterol mobilization from foam cells, and increased antioxidant properties. Received 28 November 2008; received after revision 15 December 2008; accepted 16 December 2008     

Vaults and the major vault protein: Novel roles in signal pathway regulation and immunity

The unique and evolutionary highly conserved major vault protein (MVP) is the main component of ubiquitous, large cellular ribonucleoparticles termed vaults. The 100 kDa MVP represents more than 70% of the vault mass which contains two additional proteins, the vault poly (ADP-ribose) polymerase (vPARP) and the telomerase-associated protein 1 (TEP1), as well as several short untranslated RNAs (vRNA). Vaults are almost ubiquitously expressed and, besides chemotherapy resistance, have been implicated in the regulation of several cellular processes including transport mechanisms, signal transmissions and immune responses. Despite a growing amount of data from diverse species and systems, the definition of precise vault functions is still highly complex and challenging. Here we review the current knowledge on MVP and vaults with focus on regulatory functions in intracellular signal transduction and immune defence. Received 27 June 2008; received after revision 25 July 2008; accepted 30 July 2008     

RSSI和PC-CSI加权融合的指纹定位方法

针对基于RSSI和CSI的指纹定位技术易受环境干扰、定位精度较低的问题,提出了一种基于RSSI指纹和相位修正信道状态信息(phase correct based channel state information, PC-CSI)指纹的加权融合指纹定位技术。基于PC-CSI的指纹定位在传统基于CSI幅值的指纹定位基础上增加相位信息对定位结果进行修正,之后对RSSI指纹和PC-CSI指纹的定位结果加权重定位。实验结果表明,提出的加权融合指纹定位算法与基于CSI的主动定位算法相比,平均定位误差(mean position error,MPE)降低了36.2%,能满足室内定位需求。     

基于ROAMP-Net的大规模MIMO系统智能信号检测方法

针对大规模多输入多输出(multiple-input multiple-output,MIMO)系统存在的信号检测计算复杂度高、检测精度不足等问题,参考OAMP-Net算法思想,引入残差结构,提出了一种新的智能信号检测网络模型ROAMP-Net。将正交近似消息传递(orthogonal approximate message passing,OAMP)估算信号的迭代过程展开为深度学习网络,同时引入残差结构,分别对各网络层的线性和非线性估计值进行逐层修正,有效防止估计误差的前向传播和过程积累,避免网络模型随着网络层数增加而发生性能退化,从而提高最终信号检测的准确度。针对不同调制方式和不同天线阵列的系列仿真实验结果表明,不同调制方式和天线阵列下ROAMP-Net在检测准确度上均有不错的性能表现。