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StudyofGPScarrirphaseestimatioethodinhighdynamicci
鉴于载波相位观测量可提供高精度定位信息的特点,分析了在高动态环境获得载波相位观测量的三种可
能方法,对三种方法的估计精度和动态跟踪能力进行了比较. 提出了一种适合GPS 系统的高动态环境载波相位
测量方案.(View of the carrier phase measurements can provide accurate location information, analyzes the dynamic environment in the high carrier phase measurements to obtain three possible methods, three methods of estimation accuracy and dynamic tracking ability was compared. Presents a GPS system for high dynamic carrier phase measurement program.)
- 2010-11-23 23:20:16下载
- 积分：1
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mnote-carlo
Matlab code for cell range calc using montecarlo
- 2009-05-31 19:00:44下载
- 积分：1
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boxcounting
说明： 这是一个计算盒子维数的程序，值得我们收藏(This is a procedure for calculating the box dimension, it is worth our collection)
- 2011-03-24 11:18:59下载
- 积分：1
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walsh_pn_code
说明： walsh和pn码的生成程序，用C语言实现，可供MATLAB调用(code generation process, using C language, calling for MATLAB)
- 2006-04-22 15:31:14下载
- 积分：1
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glonassca
glonass matlab的程序仿真程序 简洁 但是功能好 请放心下载(glonass matlab process simulation program features simple but good, please be assured Download)
- 2010-05-13 10:23:52下载
- 积分：1
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hybrid-PSO-based-on-TSP
实现基于PSO的混合粒子优化算法,具有很好的稳定性和快速性(Search algorithm based on hybrid particle swarm optimization algorithm based on TSP)
- 2013-10-04 10:57:54下载
- 积分：1
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code
matlab源代码实现空域下各种滤波，源代码可以直接使用，粘贴到matlab中即可(matlab source code airspace filtering, the source code can be used directly and paste it into Matlab to)
- 2013-04-21 00:45:51下载
- 积分：1
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codingpart1
OFDM with turbo codes which will provide more description than the other error correcting codes
- 2013-12-23 18:33:42下载
- 积分：1
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NSGA
说明： 多目标遗传算法是NSGA-II[1]（改进的非支配排序算法）,该遗传算法相比于其它的多目标遗传算法有如下优点：传统的非支配排序算法的复杂度为 ，而NSGA-II的复杂度为 ，其中M为目标函数的个数，N为种群中的个体数。引进精英策略，保证某些优良的种群个体在进化过程中不会被丢弃，从而提高了优化结果的精度。采用拥挤度和拥挤度比较算子，不但克服了NSGA中需要人为指定共享参数的缺陷，而且将其作为种群中个体间的比较标准，使得准Pareto域中的个体能均匀地扩展到整个Pareto域，保证了种群的多样性。（消除了共享参数）。(Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non-dominant sorting algorithm is, while the complexity of nsga-ii is, where M is the number of objective functions and N is the number of individuals in the population.The introduction of elite strategy to ensure that some good individuals in the evolutionary process will not be discarded, thus improving the accuracy of the optimization results.The comparison operator of crowding degree and crowding degree not only overcomes the defect that NSGA needs to specify the Shared parameter artificially, but also takes it as the comparison standard between individuals in the population, so that individuals in the quasi-pareto domain can uniformly expand to the whole Pareto domain, ensuring the diversity of the population.(eliminating Shared parameters).)
- 2020-02-13 19:30:43下载
- 积分：1
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Get_ChainCode
说明： 对输入的二值化图像，通过链码跟踪方法得到图像中的目标边界。(The input binary image, obtained by the chain code tracking the target image boundary.)
- 2011-04-14 13:21:22下载
- 积分：1
