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研究了存在系统误差时单站纯方位角无源定位系统的定位问题，分别在系统误差为常值和时变值时研
究了TLS-KF算法的性能，并通过估计系统误差是否存在，给出了一种选择最优定位算法的判决方法。该问题的
研究对于单站无源定位系统如何在存在系统误差时提高定位精度和性能，具有一定的理论意义和实际意义。
-The single station bearing-only passive target localization was studied when system bias was
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为在加快算法收敛速度的同时又能避免停滞现象，提出一种基于混合行为的蚁群算法．首先就蚂蚁行为对算法性能的影响进行了分析，在此基础上提出了该算法的模型；然后定义了蚂蚁行为，并为该算法设计了4种具体的蚂蚁行为，根据模型实现了该算法．实验结果表明，该算法在性能上远优于蚂蚁系统．-To accelerate the convergence speed while avoiding stagnation behavior is proposed based on hybrid ant colony algo
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OFDM系统中信道估计的ls,mmse算法性能比较程序-OFDM system channel estimation of the ls, mmse algorithm performance comparison procedures
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In a Wireless Mesh Network (WMN), the traffic is
aggregated and forwarded towards the gateways. Strategically
placing and connecting the gateways to the wired backbone is
critical to the management and efficient operation of a WMN.
In thi
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PCA+LDA人脸识别，识别率高于单独PCA或LDA算法。需要matlab dimension reducation toolbox。-Face verification using PCA and LDA fusion. Better performance than single PCA or LDA algorithm. The image database is included. Matlab dimension reduction toolbox is requrired.
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几种典型红外弱小目标检测算法的性能评估文档，是进行算法开发的研究基础-Typical infrared small target detection algorithm performance assessment.This document is the basis for algorithm development research
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常见排序算法的性能分析及比较
插入排序、快速排序、冒泡排序、归并排序、桶排序-Common sort algorithm performance analysis and comparison
Insertion sort, quick sort, bubble sort, merge sort, bucket sorting, etc
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Next generation mobile networks are expected to provide service to intelligent terminals with different categories. To fully optimize wireless networks, we argue that applications demands should be taken into account given the current channel and net
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一种短波高速QAM信号快速无抖动码元同步方案的设计,文章基于Gardner定时误差检测算法、预滤波和一阶过零检测锁相环理论,结合卡尔曼
滤波算法,设计了一种快速无抖动的短波高速QAM信号全数字解调码元同步方案,从理论上
推导了方案中各个参数的设置方法,并在不同的信道环境下测试算法的性能,仿真结果显示
该方案具有优良的性能。
-A short high-speed QAM signal symbol timing quickly without jitter in the desi
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調和搜尋演算法(Harmony Search HS)是將樂團演奏表現調整至最協調且美妙的現象引用到最佳化演算系統當中，而發展出一套全新的啟發式演算法-Reconcile the search algorithm (Harmony Search HS) is the Orchestra performance of coordinated and adjusted to the most wonderful reference to the best of the phenomenon
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斯坦福的一片文章 综述了迭代最近点算法的各种改进 客观地比较了他们优劣 提出了一个实时的高效组合 做点云配准必读-an artical from Stanforda. summarizes the variant of iterative closest point algorithm and objectively compare the advantages and disadvantages, finily proposed combination with a high-speed r
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基于HSI空间的颜色算法提牌照识别的性能Algorithm based on HSI color space to mention the performance license plate recognition-Algorithm based on HSI color space to mention the performance license plate recognition
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介绍了贝叶斯的算法性能原理等等以及一些经典实例和算法的实现部分代码-Introduced the principle of Bayesian algorithm performance as well as some classic examples, and so the realization of part of the code and algorithms
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遗传算法在车牌定位中的应用，本文通过实际的车牌定位系统的实例，展示了遗传算法强大而稳定的性能-Genetic algorithm in license plate location application, the paper license plate positioning system through practical examples, showing a strong and stable genetic algorithm performance
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ESPRIT算法的性能与阵元数的关系，包括LS-ESPRIT算法,TLS-ESPRIT算法,TAM算法-ESPRIT algorithm performance and the relationship between the number of array elements, including the LS-ESPRIT algorithm, TLS-ESPRIT algorithm, TAM algorithm
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经典MUSIC算法,WMUSIC算法,ROOT-MUSIC算法,BEAMFORMING-MUSIC-BS1算法的性能与阵元数的关系-Classical MUSIC algorithm, WMUSIC algorithm, ROOT-MUSIC algorithm, BEAMFORMING-MUSIC-BS1 algorithm performance and the relationship between the number of array elements
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基于人眼视觉模型的双正交小波变换算法，通过实验验证,该算法在对嵌入水印后的图像进行有损压缩、剪切、污染、添加各种噪声等处理后,提取出的水印仍表现出了较好的鲁棒性。-Human visual model based on biorthogonal wavelet transform algorithm, experiments show that the algorithm of the watermarked image lossy compression, shear, pollution,
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天线选择技术能够的效地减小射频链路的成本和系统的复杂度， 同时又能保持MI M0系统的主要优点。本文首先对已有的经典的天线选择算法分别进行了介绍， 对其优缺点进行分析， 而后基于范数方法的思想， 提出一种新的天线选择算法。 该算法具有计算简单的特点， 通过仿真表明， 在接收天线
数目较大的时候， 其性能较范数算法有明显提高。-The effectiveness of antenna selection technology can reduce the cost of radio link
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对经典LEACH算法阈值公式加以改进，使得整体性能大幅度提升-LEACH algorithm threshold of classical formulas to improve, making the overall performance improved significantly
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几种 MIMO 最大似然检测算法性能与复杂度比较及改进，介绍了半定松弛、分枝定界和堆栈三种低复杂度最大似然检测算法，并对其性能和复杂度进行了仿真分析，提出了改进的分枝定界和堆栈算法，仿真结果证明分枝定界和堆栈算法性能要优于半定松弛算法，分枝定界算法的复杂度低于堆栈算法且半定松弛算法以多项式复杂度取得了逼近最大似然的性能，同时改进算法加快了算法收敛速度，降低了计算复杂度和对存储空间的要求。
-Several maximum likelihood MIMO detection algorithm
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