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queryoptimization
materila for query optimization
- 2009-11-29 17:52:30下载
- 积分：1
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SARFilter
SAR图像三种滤波方法： 1、gamma_MAP滤波； 2、均方差滤波： 3、Lee滤波(SAR image filtering method three: 1, gamma_MAP filter 2, mean square error filter: 3, Lee filter)
- 2020-09-18 22:17:54下载
- 积分：1
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matlab3
matlab仿真程序，适合初学者，比较实用，可用性高。(matlab simulation program, suitable for beginners, more practical, high-availability.)
- 2008-05-27 10:01:34下载
- 积分：1
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PGM_Programming_Assignment_3
code matlab pgm in graphical model
- 2013-04-14 18:35:33下载
- 积分：1
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ciix
自己编的5种调制信号，借鉴了主成分分析算法（PCA），用于信号特征提取、信号消噪。( Own five modulation signal, It draws on principal component analysis algorithm (PCA), For feature extraction, signal de-noising.)
- 2016-04-15 10:36:21下载
- 积分：1
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ANN
用感知器实现或功能的M文件，MATLAB中运行正确，(ANN)
- 2009-10-12 18:05:02下载
- 积分：1
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CapChannel_DieDai
迭代法球信道容量，用matlab语言写的。结构紧凑，注释详细，代码经过优化，运行效率相当高。(Get the capcity of discrete channel by using MATLAB language with the method of DIEDAI。)
- 2010-12-21 19:30:14下载
- 积分：1
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text
基于HFSS的UHF频段印刷天线的设计_何俊(Based on the UHF band printed antenna HFSS design _ Albert)
- 2013-12-03 21:06:08下载
- 积分：1
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VMD程序
说明： VMD程序，用于轴承、齿轮等振动信号的分解、降噪和重构，实现故障诊断(VMD program is used for decomposition, noise reduction and reconstruction of vibration signals such as bearings and gears to realize fault diagnosis)
- 2021-04-03 19:59:05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
