基于ARM Cortex-M3的声磁商品电子防盗系统设计

针对普通EAS系统存在抗干扰性能差、检测灵敏度低、检测范围小、误报率高等缺点,设计了一种基于ARM Cortex-M3的声磁EAS系统。本文介绍了声磁EAS系统的工作原理和硬件结构框图,分析了声磁标签信号在时域和频域上的特征,提出了FFT信号频谱分析、信号互相关、最小二乘法拟合直线求取斜率、计算信号峰值数及峰值方差运算等多种检测声磁标签信号的算法,并详细描述了系统软件算法的设计。实验验证,本系统具有抗干扰性能强、检测灵敏度高、检测范围宽、误报率低等特点。     

The frequency partitioned block modified filtered-x NLMS with orthogonal correction factors for multichannel Active Noise Control

The Normalized Least Mean Square (NLMS) algorithm with a filtered-x structure (FxNLMS) is a widely used adaptive algorithm for Active Noise Control (ANC) due to its simplicity and ease of implementation. One of the major drawbacks is its slow convergence. A modified filtered-x structure (MFxNLMS) can be used to moderately improve the speed of convergence, but it does not offer a huge improvement. A greater increase in the speed of convergence can be obtained by using the MFxNLMS algorithm with orthogonal correction factors (M-OCF), but the usage of orthogonal correction factors also increases the computational complexity and limits the usage of the M-OCF in massive real-time applications. However, Graphics Processing Units (GPUs) are well known for their potential for highly parallel data processing. Therefore, GPUs seem to be a suitable platform to ameliorate this computational drawback. In this paper, we propose to derive the M-OCF algorithm to a partitioned block-based version in the frequency domain (FPM-OCF) for multichannel ANC systems in order to better exploit the parallel capabilities of the GPUs. The results show improvements in the convergence rate of the FPM-OCF algorithm in comparison to other NLMS-type algorithms and the usefulness of GPU devices for developing versatile, scalable, and low-cost multichannel ANC systems.     

Radiometric Transfer: Example‐based Radiometric Linearization of Photographs

We present an example‐based approach for radiometrically linearizing photographs that takes as input a radiometrically linear exemplar image and a target regular uncalibrated image of the same scene, possibly from a different viewpoint and/or under different lighting. The output of our method is a radiometrically linearized version of the target image. Modeling the change in appearance of a small image patch seen from a different viewpoint and/or under different lighting as a linear 1D subspace, allows us to recast radiometric transfer in a form similar to classic radiometric calibration from exposure stacks. The resulting radiometric transfer method is lightweight and easy to implement. We demonstrate the accuracy and validity of our method on a variety of scenes.     

High‐Order Recursive Filtering of Non‐Uniformly Sampled Signals for Image and Video Processing

We present a discrete‐time mathematical formulation for applying recursive digital filters to non‐uniformly sampled signals. Our solution presents several desirable features: it preserves the stability of the original filters; is well‐conditioned for low‐pass, high‐pass, and band‐pass filters alike; its cost is linear in the number of samples and is not affected by the size of the filter support. Our method is general and works with any non‐uniformly sampled signal and any recursive digital filter defined by a difference equation. Since our formulation directly uses the filter coefficients, it works out‐of‐the‐box with existing methodologies for digital filter design. We demonstrate the effectiveness of our approach by filtering non‐uniformly sampled signals in various image and video processing tasks including edge‐preserving color filtering, noise reduction, stylization, and detail enhancement. Our formulation enables, for the first time, edge‐aware evaluation of any recursive infinite impulse response digital filter (not only low‐pass), producing high‐quality filtering results in real time.     

国外武器装备电磁环境适应性试验与评价技术及能力发展综述

武器装备的电磁环境适应性已成为制约武器装备能打仗、打胜仗的一个重大问题;西方军事强国非常重视面向复杂电磁环境的武器装备试验与评价技术研究和能力建设,通过相关投资计划的长期持续投入,支持突破其中的关键技术、方法,以及构建相应的试验与评价设施能力;文章从标准规范和研制程序、技术方法、试验设施、科研和能力建设投资计划等几方面综述了国外武器装备复杂电磁环境适应性试验与评价技术和能力发展情况,并在此基础上,提出了对我国武器装备电磁环境适应性试验与评价能力的发展建议.     

龙川江水资源对气候变化的敏感性和适应性分析

龙川江流域是我国长江中上游地区极为典型的生态脆弱区,易受气候变化的影响,研究该地区的水资源脆弱性以及其应对气候变化的适应性对于该地区的水资源合理利用十分关键。从该地区水资源的时空分布规律、水利基础设施建设、水生态环境形势和应对气候变化能力4个方面,分别研究了龙川江流域水资源的脆弱性问题。并结合流域的实际情况,从水资源综合管理、水利工程设施建设、建立节水型社会、调整产业结构和依靠科技等方面,提出了提高应对气候变化能力的举措,及时为国家应对气候变化和防灾减灾提供科学支撑。     

第二代小波及压缩算法在数据处理中的应用

为消除误差和随机干扰对测量数据的影响,提出利用第二代小波提升算法对原始测量数据进行去噪处理,再利用基于第二代小波原理的数据压缩算法对测量数据进行不失真压缩。两种方法结合运用,可以在保留数据特征及精度的基础上,降低数据量,提高工作的速度和质量。     

现代图像处理技术在目标跟踪中的MatLab实现

运动检测与目标跟踪是计算机视觉中两个最重要的应用,具有很重要的现实意义和实际价值。介绍目标跟踪中运动图像的相关处理手段及常用图像操作函数,并通过MatLab语言强大的信息处理能力,快速实现目标的模拟仿真,实现目标的可视化,并提高图像处理的效率。     

基于图像处理的课室人员位置分布识别

对大型课室人员位置分布识别有利于课室灯光节能管理,基于面积判据的人员位置识别算法没有应用场景的约束,但容易因人体Blob图像粘连而产生误判;基于座位网格的算法只适用于直线排列的固定座位,但算法简单可靠。实验证明:两种方法均能有效地检测出人员分布情况,后者对固定座位的课室检测准确性更好,效率更高。     

Linux系统下用SCILAB对化学实验数据进行分析和处理

为简单、快速地分析大量的化学实验数据,介绍了自由科学计算软件SCILAB及其在Linux系统下的安装,并用实例讨论了如何用SCILAB分析实验数据。结果表明,用SCILAB所提供的函数对实验数据进行分析处理将非常方便,大大减小误差,SCILAB提供的的图形显示函数绘制实验数据曲线,可以使实验结果更加直观。