基于确定性测量矩阵的心电信号压缩采样算法研究

远程心电监测治疗中心电压缩技术至关重要.论文介绍了压缩采样理论的原理,根据确定性矩阵在压缩采样理论硬件实现上的优势,构造了一种多项式确定性矩阵,与块稀疏贝叶斯框架算法相结合,并在此基础上,对多项式确定性矩阵QR分解进行优化,实验表明:该矩阵可以满足实时高精度重建信号的要求,优化后的矩阵更进一步提高了算法性能.     

基于量子关联成像的图像重构算法采样数研究

量子关联成像技术采用单点强度探测,存贮信息量大,成像速度慢,需研究快速图像重构成像算法。对量子关联成像技术图像重构算法中的统计迭代法和压缩感知算法的采样次数进行了仿真分析,压缩感知算法采用二维离散余弦变换（DCT）将图像稀疏化,高斯随机矩阵作为测量矩阵,正交匹配追踪（OMP）算法对图像进行重构。结果表明：图像越大,重构图像需要的采样次数和采样时间越长,采用压缩感知算法能有效减少采样次数,从而提高系统成像速度。因此,研究量子关联成像的图像重构算法,减少图像的采样次数,对提高成像速度具有重要意义。     

Recovery error bounds on compressed sensing of noisy signals

Compressed sensing is an emerging technique in the field of digital signal acquisition. It promises almost exact recovery of high‐dimensional signals from a very small set of measurements. However, this technique is challenged by the task of recovering signals immersed in noise. In this paper, we derive upper and lower bounds on mean squared recovery error of noisy signals. These bounds are valid for any number of acquired measurements and at any signal‐to‐noise ratio. This work is highly useful for the design of any compressed sensing‐based real world application by quantifying recovery error entailed with realistic digital signal acquisition scenarios. Copyright © 2013 John Wiley & Sons, Ltd.     

基于实时数字脉冲处理技术的核谱仪研究

本文提出一种基于80 MHz ADC的数字化γ能谱系统。系统由探测器、前端电路、ADC和数字处理单元组成。数字处理在FPGA中完成,主要包括FIR数字滤波、脉冲梯形成形、幅度甄别、数据通讯。为减小高速ADC在采集过程中引入的噪声信号,在数字处理单元实现FIR数字滤波,对数字脉冲信号先进行滤波处理,再进行脉冲梯形成形,得到高分辨率的能谱数据。测量系统中模拟信号全部采用直流耦合,数字脉冲宽度为1.6μs,对137 Cs的能量分辨率达6.88%。     

基于抽样方法的特征值不确定度分析

核数据是反应堆物理计算的基础数据,研究其不确定度对反应堆物理计算引入的不确定度,对提高反应堆的安全性和经济性具有重要意义。本文基于抽样理论研究了反应堆物理计算不确定度分析的方法,研发了不确定度分析程序UNICORN。基于ENDF/B-Ⅶ.1评价数据库,使用NJOY程序开发了多群协方差数据库。采用UNICORN程序和多群协方差数据库对三哩岛燃料棒和基准题RB31的k∞进行了不确定度分析,得到核数据库中各分反应道截面的不确定度对k∞造成的不确定度。结果表明:238 U(n,γ)截面对三哩岛燃料棒k∞造成的不确定度最大,相对不确定度达0.4%左右;协方差数据库的不同来源会对不确定度分析结果造成一定影响。     

An Improved Maximum Exponentially Weighted Moving Average Control Chart for Monitoring Process Mean and Variability

Maximum exponentially weighted moving average (MaxEWMA) control charts have gained considerable attention for detecting changes in both process mean and process variability. In this paper, we propose an improved MaxEWMA control charts based on ordered ranked set sampling (ORSS) and ordered imperfect ranked set sampling (OIRSS) schemes for simultaneous detection of both increases and decreases in the process mean and/or variability, named MaxEWMA‐ORSS and MaxEWMA‐OIRSS control charts. These MaxEWMA control charts are based on the best linear unbiased estimators of location and scale parameters obtained under ORSS and OIRSS methods. Extensive Monte Carlo simulations have been used to estimate the average run length and standard deviation of run length of the proposed MaxEWMA control charts. These control charts are compared with their counterparts based on simple random sampling (SRS), that is, MaxEWMA‐SRS and MaxGWMA‐SRS control charts. The proposed MaxEWMA‐ORSS and MaxEWMA‐OIRSS control charts are able to perform better than the MaxEWMA‐SRS and MaxGWMA‐SRS control charts for detecting shifts in the process mean and dispersion. An application to real data is provided to illustrate the implementation of the proposed MaxEWMA control charts. Copyright © 2013 John Wiley & Sons, Ltd.     

New Synthetic Control Charts for Monitoring Process Mean and Process Dispersion

A statistical quality control chart is widely recognized as a potentially powerful tool that is frequently used in many manufacturing and service industries to monitor the quality of the product or manufacturing processes. In this paper, we propose new synthetic control charts for monitoring the process mean and the process dispersion. The proposed synthetic charts are based on ranked set sampling (RSS), median RSS (MRSS), and ordered RSS (ORSS) schemes, named synthetic‐RSS, synthetic‐MRSS, and synthetic‐ORSS charts, respectively. Average run lengths are used to evaluate the performances of the control charts. It is found that the synthetic‐RSS and synthetic‐MRSS mean charts perform uniformly better than the Shewhart mean chart based on simple random sampling (Shewhart‐SRS), synthetic‐SRS, double sampling‐SRS, Shewhart‐RSS, and Shewhart‐MRSS mean charts. The proposed synthetic charts generally outperform the exponentially weighted moving average (EWMA) chart based on SRS in the detection of large mean shifts. We also compare the performance of the synthetic‐ORSS dispersion chart with the existing powerful dispersion charts. It turns out that the synthetic‐ORSS chart also performs uniformly better than the Shewhart‐R, Shewhart‐S, synthetic‐R, synthetic‐S, synthetic‐D, cumulative sum (CUSUM) ln S², CUSUM‐R, CUSUM‐S, EWMA‐ln S², and change point CUSUM charts for detecting increases in the process dispersion. A similar trend is observed when the proposed synthetic charts are constructed under imperfect RSS schemes. Illustrative examples are used to demonstrate the implementation of the proposed synthetic charts. Copyright © 2014 John Wiley & Sons, Ltd.     

基于超声驱动器的岩石样品采样设备

超声驱动器是近几十年发展形成的新型驱动装置,因其具有一些显著优点,在某些特殊领域有着较好的应用前景,特别适合在深空探测使用。针对现阶段外太空研究中样品取样设备的需求和已有的关于超声驱动器研究成果,提出了研制基于超声驱动器的岩石样品采样设备并进行了一些试验研究,取得了一些初步研究成果。     

建筑工程质量抽验方案及其应用条件

检验是质量控制的重要手段之一,从原材料进场到施工过程控制直至结构竣工验收,都离不开检验。抽验是最常见的检验方式,抽验离不开抽检方案。抽验方案与受检项目的重要性、变异性、实际质量水平状况以及生产方和用户方的风险密切相关,为此,设计规范、验收规范和产品标准一般都有专门的章节或附录对抽验方案进行具体的规定。本文介绍了抽验方案的原理并指出了实际工作中的常见问题,对正确理解和应用抽验方案有指导意义。     

建筑材料见证取样送检工作存在的问题与改进对策

建筑材料质量是影响工程质量的主要因素之一,实施建筑材料见证取样送检工作是控制建筑材料质量的有效措施。论文分析了我国建筑材料见证取样送检工作中存在的问题,提出了改进此项工作的十大制度,从根本上保障建设工程中建筑材料质量。