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robotarm
说明： 柔性机械臂的神经网络控制策略。课程报告，有详细说明。(Flexible manipulator neural network control strategy. Course report is described in detail.)
- 2006-03-06 21:12:59下载
- 积分：1
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rk_4
四阶龙格-库塔算法的matlab程序实现(Fourth-order Runge-Kutta algorithm matlab program)
- 2012-12-28 21:24:55下载
- 积分：1
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ns_matlab
该程序用matlab写成，已包含vof（根据Hirt的方法）内容，但该部分尚不成熟。对于不包含自由面的计算比较成功。(The program written with matlab, included vof (according to Hirt' s method) content, but that part is not yet mature. For the calculation of the free surface does not contain more successful.)
- 2011-10-14 08:42:09下载
- 积分：1
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hrfyxrrd
匹配追踪和正交匹配追踪，通过虚拟阵元进行DOA估计，针对EMD方法的不足,实现典型相关分析，GSM中GMSK调制信号的产生。(Matching Pursuit and orthogonal matching pursuit, Conducted through virtual array DOA estimation, For lack of EMD, Achieve canonical correlation analysis, GSM is GMSK modulation signal generation.)
- 2016-03-24 21:41:52下载
- 积分：1
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Plane-frame-structure-calculation
平面刚架结构计算，能够输出结构内力和位移图形。但是在用之前要自己编辑节点信息和作用力信息(Plane frame structure calculation)
- 2012-05-20 20:16:48下载
- 积分：1
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FCM+Knn
用K均值算法和C模糊算法对sonar数据和iris数据进行分类。
K均值算法是一种很常用的聚类算法，其基本思想是，通过迭代寻找K个聚类的一种划分方法，使得用这K个聚类的均值来代表各类样本是所得到的的总体误差最小。
模糊C均值（FCM）算法在K均值算法的基础上，用模糊子集代替确定子集，从而得到模糊的分类结果，即分类结果的模糊化。(Sonar data and iris data are classified by means of K mean algorithm and C fuzzy algorithm.
The K mean algorithm is a very common clustering algorithm. Its basic idea is to find a partition method of K clustering by iteration, so that the average error of the mean of the K clustering is minimized.
The fuzzy C mean (FCM) algorithm is based on the K mean algorithm. The fuzzy subset is replaced by the fuzzy subset, thus the fuzzy classification result is obtained, that is, the classification result is fuzzed.)
- 2020-11-06 17:59:50下载
- 积分：1
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PAPR
说明： 降低OFDM的PAPR的优化算法的研究以及MATLAB 仿真(PARP)
- 2010-04-17 10:05:07下载
- 积分：1
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dat_banana
香蕉形(banana)标准数据集，用于测试机器学习与模式识别算法。(Banana-shaped standard data set for testing machine learning and pattern recognition algorithm.)
- 2010-05-14 22:22:18下载
- 积分：1
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fangzhen
实验一 双极性矩形随机信号的归一化功率谱密度一
1.1 功率谱密度简介
平稳过程的任何一个非零样本函数的持续时间为无限长，显然都不满足绝对可积和总能量有限的条件。因此，它的傅里叶变换不存在即没有频谱函数。所以我们用功率谱密度来表述其频谱特性。
随机过程的任一实现是一个确定的功率型信号。而对于任意的确定功率信号f(t)，它的功率谱密度为：
式中， 是f(t)的截短函数 对应的频谱函数。f(t)是平稳随机过程 的一个实现。而随机过程某一个实现的功率谱密度不能作为过程的功率谱密度。过程的功率谱密度应该看作是任一实现的功率谱密度的统计平均，即
虽然该式给出了平稳随机过程的功率谱密度，但我们通常都不利用这个式子来计算功率谱。我们知道，确知的非周期功率信号的自相关函数与功率谱密度是一对傅里叶变换。对于平稳随机过程，也有类似的关系，即
和
对于平稳随机过程我们通常先求出其自相关函数再利用上式求出其功率谱密度。
1.2 实验要求
1.了解平稳随机信号功率谱的概念及计算方法
2.仿真不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度
3.分析不同信号所包含的频谱分量，有无直流分量和定时分量信息
(A pair of rectangular random experiment polarity signal sample return a nonzero function of any duration power spectral density of a 1.1 power spectral density of a stationary process Introduction of infinite length, apparently not satisfied absolutely integrable and the total energy of the limited conditions. Therefore, it is the Fourier transform of the spectrum that does not function does not exist. Therefore, we use the power spectral density to express their spectral characteristics. Any random process is a realization of a certain type signal power. For arbitrarily determined power signal f (t), its power spectral density is: wherein, is f (t) is a function corresponding to the truncated spectrum function. f (t) is a stationary random process of realization. The random process to achieve a certain power spectral density can not serve as the power spectral density of the process. Power spectral density process should be seen as a statistical average power spectral density of any r)
- 2014-11-30 20:39:29下载
- 积分：1
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matlab-sources
数值分析上机题的matlab程序，含有丰富的注释，并且在已经通过验证(Numerical analysis on the problem of machine matlab program, rich in notes, and has been validated)
- 2014-01-21 19:48:01下载
- 积分：1
