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tuxiang
用matlab处理图像，实现各种滤波等图像增强的功能。(Matlab image processing used to achieve a variety of filtering, image enhancement functions.)
- 2009-04-16 20:20:08下载
- 积分：1
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PBG_vs_PCPeriod
Calculation of transmission characteristic of 1D PC as a function of PC period.
- 2010-02-11 06:17:19下载
- 积分：1
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heliuchaojihe
合流超几何函数是处理较为复杂的语音处理算法中的较为常见的程序，它在MATLAB中能够正确实现相对有些困难，附上的程序能够在语音增强算法中正确运行。(Confluent hypergeometric function is dealing with more complex voice processing algorithms in the more common procedures, it can be correctly implemented in MATLAB relatively somewhat difficult, enclosed in a speech enhancement algorithm program can run correctly.)
- 2011-12-26 16:32:33下载
- 积分：1
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programming-Windows--fifth
windows 程序设计 第五版 文字版，程序员经典丛书(Text version of the fifth edition of windows programming, programmers Classic Series)
- 2014-02-03 12:16:23下载
- 积分：1
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IoT-WIFI-localization-master
说明： 实现利用wifi进行室内定位,包括信道状态信息等(Indoor localization via WIFI using matlab)
- 2020-11-17 12:15:40下载
- 积分：1
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estiblur
calculate parameters of motion blur
- 2009-09-13 16:19:25下载
- 积分：1
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MATLAB
MATLAB在遗传模糊控制系统仿真中的应用(MATLAB in the genetic fuzzy control system simulation)
- 2009-04-27 17:04:46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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Tutorial_3
to do KNN classifier
- 2012-12-31 17:01:55下载
- 积分：1
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Classification-Toolbox-User-guide
A user guide for classification toolbox using Matlab
- 2012-05-10 14:53:25下载
- 积分：1
