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ECEF-LLT
Matlab子程序，实现直角坐标系-大地坐标系-站心坐标系的转换。(Matlab subroutine achieve Cartesian coordinates- geodetic coordinate system- topocentric coordinate system conversion.)
- 2015-03-23 11:12:11下载
- 积分：1
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split_step_fourier_method
split step fourier method
- 2009-04-20 23:39:17下载
- 积分：1
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matlab_example_1
实例：曲线标记
实例:修改曲型
内容很不错!对于做曲线相关的同学!可以借用看看!(Examples: examples of curves tags: Curved modify the content is pretty good! Make curves relevant for students! Can borrow to see!)
- 2008-05-07 13:44:01下载
- 积分：1
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3
To support wireless communication : MIMO
- 2013-12-24 21:53:23下载
- 积分：1
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SAR_DPCA
合成孔径雷达DPCA动目标检测,星载参数(SAR DPCA
Moving target detection)
- 2012-02-29 11:16:08下载
- 积分：1
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ClassicalSnakesAlgorithm
A clasical snake implementation on a binaty image. The implementation followa the Torozopoliz article on active contour and s nakes
- 2009-06-26 07:13:42下载
- 积分：1
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Matlab
Matlab快捷键命令大全，感觉很有用，希望大家喜欢！！(Matlab shortcut command Guinness, feel useful, I hope you like it! !)
- 2011-01-08 12:33:30下载
- 积分：1
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DOLDEN
一种在扩频领域应用十分广泛的编码序列,GOLDEN码序列的MATLAB仿真实现!(spreading in a very wide field of application of the coding sequence, GOLDEN sequences MATLAB Simulation!)
- 2007-05-19 17:06:44下载
- 积分：1
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dbscan.m
a cluster method based on density
- 2014-08-25 12:42:04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
