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danchunxing
说明： 单纯形法
主要进行最优求解，环境为MATLAB.以一个例子进行简单说明。(Simplex method for the optimal solution of the main, the environment for MATLAB. To an example of a simple description.)
- 2008-11-25 19:41:55下载
- 积分：1
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QPSK
BER performance in QPSK modulation
- 2010-07-15 17:48:29下载
- 积分：1
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zaoshengxitongbianshi
含有噪声的多维非线性系统辨识！！！ (Noisy multi-dimensional non-linear system identification! ! !)
- 2009-11-13 16:44:55下载
- 积分：1
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Segregation
用LBM方法模拟的两相流运动，希望能帮助大家了解应用格子Boltzmann方法(The two-phase flow simulation by LBM and want to help you understand the application of lattice Boltzmann method)
- 2011-05-21 19:37:48下载
- 积分：1
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fwddsp
DFT alogrithm in matlab
- 2011-09-02 18:05:39下载
- 积分：1
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chaoliu
基于牛顿法的配网潮流计算程序，采用改进牛顿法，对初学者有很大帮助(Calculation is based on Newton s method with network flow program, an improved Newton, a great help for beginners)
- 2014-02-07 14:59:33下载
- 积分：1
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flops
matlab matrix processing functions
- 2010-12-08 01:50:41下载
- 积分：1
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2d0f67dd23d0
Voice filter
speech processing voice filter implementation
developement
- 2011-01-30 02:46:43下载
- 积分：1
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matcom4.5
matcam 4.5 安装及下载指导
链接matlab和visual，实现matlab的高级编程(matcam 4.5 matlab和visual)
- 2011-07-19 12:40:46下载
- 积分：1
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KNN
K最邻近密度估计技术是一种分类方法，不是聚类方法。
不是最优方法，实践中比较流行。
通俗但不一定易懂的规则是：
1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。
2.选出最小的前K数据个距离，这里用到选择排序法。
3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method.
It is not the best method, but it is popular in practice.
Popular but not necessarily understandable rule is:
1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov).
2. select the minimum distance from the previous K data, where the choice sorting method is used.
3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)
- 2020-10-23 14:37:22下载
- 积分：1
