基因识别及其算法研究

针对基因识别问题,基于DNA序列的3周期这一性质,首先给出了DNA序列功率和信噪比的快速算法并讨论了不同物种基因类型的阈值确定方法;在此基础上,建立了基于背景噪声抑制和频谱平滑的SNR频谱预处理模型,经过预处理后的频谱不仅大幅度抑制了背景噪声,同时保留了SNR频谱的模式特征.在编码序列识别上,对经典的EPND预测算法进行了改进,使用改进的EPND算法对经过预处理后频谱进行基因识别,实验结果显示这种基因识别模型具有优异的基因识别性能,比传统直接使用基于滑动窗口DFT的EPND识别算法在敏感度、特异性等评价指标上提高了2%-12%左右.     

风机盘管制冷性能试验台的研制

为方便对风机盘管进行制冷性能测试及试验研究,需研制调试方便、易于操作的风机盘管制冷性能试验台。通过参考国内标准中有关风机盘管的测试标准,基于其中方法设计了适用于测试风机盘管制冷性能的试验装置,实现了对风机盘管产品性能的有效评估。     

一种低温接收机噪声分时注入的方法

提出一种低温接收机噪声分时注入方法,可以在线对接收机系统进行标定。可以有效地解决大气变化、地表噪声、链路增益变化等对系统定标照成的影响。该方案已应用在国内多台射电望远镜项目中,并获得较理想的效果。     

基于多维混合柯西分布的点云配准

为提高三维点云在数据随机缺失和噪声干扰等复杂情况下的配准精度,提出一种基于多维混合柯西分布(MMC)的点云配准方法。将点云数学模型扩展为MMC模型,求解模型各参数,并构造出特征四面体,以优化旋转矩阵与平移向量;通过最大期望算法分别求出目标点云和待配准点云在MMC模型下的数据中心、协方差矩阵和权重的值。仿真与实验数据表明:与几种常用的算法相比,MMC算法即使在点云数据存在遮挡、缺失,大小不一致,含随机噪声,且具有无序性的条件下,也能精确配准,且具有良好的稳健性。     

利用外腔谐振倍频产生780nm原子吸收线明亮振幅压缩光

采用连续单频1.56μm激光光源作为泵浦光,通过周期极化铌酸锂晶体外腔倍频过程实验制备出位于原子吸收波线的780nm明亮振幅压缩态光场。在利用2个模清洁器过滤基频光的强度噪声、使之在分析频率4MHz处达到散粒噪声的基础上,利用谐振倍频获得输出功率为10mW、转换效率达40%的倍频光,实测的780nm明亮振幅压缩光的压缩度为0.6dB。     

Surface integral analogy approaches for predicting noise from 3D high-lift low-noise wings

Three surface integral approaches of the acoustic analogies are studied to predict the noise from three concep- tual configurations of three-dimensional high-lift low-noise wings. The approaches refer to the Kirchhoff method, the Ffowcs Williams and Hawkings （FW-H） method of the permeable integral surface and the Curle method that is known as a special case of the FW-H method. The first two approaches are used to compute the noise generated by the core flow region where the energetic structures exist. The last approach is adopted to predict the noise specially from the pressure perturbation on the wall. A new way to con- struct the integral surface that encloses the core region is proposed for the first two methods. Considering the local properties of the flow around the complex object-the actual wing with high-lift devices-the integral surface based on the vorticity is constructed to follow the flow structures. The surface location is discussed for the Kirchhoff method and the FW-H method because a common surface is used for them. The noise from the core flow region is studied on the basis of the dependent integral quantities, which are indicated by the Kirchhoff formulation and by the FW-H formulation. The role of each wall component on noise contribution is analyzed using the Curle formulation. Effects of the volume integral terms of Lighthill＇s stress tensors on the noise pre-diction are then evaluated by comparing the results of the Curle method with the other two methods.     

新型扩张状态观测器及其噪声抑制的特性分析（英文）

为了提升对快变干扰的估计性能,把输出估计误差的非线性项和切换项作为反馈设计一种新型非线性扩张状态观测器.在对干扰具有相同的估计性能下,新型非线性扩张状态观测器的增益相对较小,因而该新型非线性扩张状态观测器比传统扩张状态观测器拥有更好的噪声抑制性能。仿真结果表明新型扩张状态观测器对干扰的估计误差是传统方法的1/4。     

基于非线性光纤环形镜的少模脉冲幅度调制再生器

随着网络带宽需求的快速增加,波分复用系统的容量已接近非线性香农极限.为了适应未来网络的发展,空分复用技术引起了越来越多的关注.本文首次提出基于少模非线性光纤环形镜(FM-NOLM)的脉冲幅度调制(PAM)全光再生器,描述了其工作原理和具体设计过程.采用COMSOL软件对组成FM-NOLM的硫化物高非线性光纤进行了模式特性仿真.以LP01,LP11,LP21三个光纤模式为例,确定了再生器的参数,计算出每个模式的功率转移函数曲线.仿真分析了该少模PAM-4全光再生器的噪声抑制(NRR)性能,并与单模情形进行了比较.研究表明,1)对于每个空间模式的PAM信号,所有再生电平具有一致的功率转移性能;2)当输入信噪比(SNR)约大于20 dB时,三种模式的噪声抑制比均可超过3 dB,并随着输入信噪比线性增加,其斜率约为1.2;3)在相同输入SNR条件下,三种模式的噪声抑制比相差不大,不超过1.1 dB.为了说明再生器的再生性能,当输入SNR为25 dB时,我们还给出了再生前后PAM-4信号的功率分布直方图.与现有的再生方案相比,本文方案的均匀多电平再生转移性能,使其更适合高频谱效率的长距空分复用系统和任意电平数的PAM信号再生.此外,该方案也能够扩展到波长域,有效提高光通信系统的传输容量.     

基于泰勒级数及温度因子的卡尔曼滤波模型在链子崖危岩体变形预测中的应用

考虑到链子崖危岩体的变形受温度的影响较为明显,为此,将链子崖危岩体的变形看作时间和温度的函数,利用泰勒级数建立链子崖危岩体的变形与时间和温度的函数关系,并将泰勒级数的余项及时间变化的二次方和温度变化的二次方的系数的变化量看作数学期望为0的动态噪声,建立卡尔曼滤波模型,并用于链子崖危岩体变形的预测预报.实例计算表明,模型的拟合效果和预测效果较好.     

Effect of Time Delay on Binary Signal Detection via a Bistable System

The effect of time delay on binary signal detection via a bistable system in the presence of white or colored Gaussian noise is investigated. By defining the bit error rate based on the solution of the approximated Fokker- Planck equation, the detector performance is investigated theoretically and is verified by Monte Carlo simulation. It is shown that, when the system parameter or noise intensity is optimally chosen, the increasing time delay generally improves the system performance. It is also shown that it is more difficult to accurately predict the system performance with a larger time delay and correlation time. This may inspire more thorough investigations in cooperative effects of a nonlinear system and time delay on signal processing.