-
matlab
四个人位于正方形的四个顶点，相互对准下一个人追逐，形成四条螺旋线，螺旋线的matlab仿真代码(4 person ，each one is running after another. the file is the Word for paiting the picture of the contrail they go )
- 2010-08-13 18:14:05下载
- 积分：1
-
f11_3
小波消噪算法我用的小波消噪算法我用的小波消噪算法我用的(Wavelet denoising method I use)
- 2011-05-17 22:29:12下载
- 积分：1
-
matlab
用MATlab实现的粒子群算法，比较简单，适用于刚学习粒子群算法的人，大家可以交流一下(MATlab particle swarm algorithm, relatively simple, suitable for people new to the study of the particle swarm optimization (pso) algorithm, we can discuss)
- 2014-09-20 08:37:37下载
- 积分：1
-
EEMD
说明： 集合经验模态分解 是针对EMD方法的不足，提出了一种噪声辅助数据分析方法。 信号处理完整代码(Ensemble Empirical Mode Decomposition signal processing)
- 2019-06-12 17:55:42下载
- 积分：1
-
matpower3.2
说明： 求最优潮流的matlab程序，可以求解pq分解法、牛顿拉夫逊法等潮流计算。(For optimal power flow matlab procedure pq decomposition method to solve, such as Newton Raphson power flow calculation.)
- 2008-10-26 09:31:50下载
- 积分：1
-
IJCS_33_1_9
说明： 發現蟻群優化的分類規則和快速改進約簡算法 (Classification Rule Discovery with Ant Colony Optimization and Improved Quick Reduct Algorithm )
- 2010-04-22 13:28:43下载
- 积分：1
-
用matlab实现的谐波提取 Harmonic-extraction
我学习信号系统时原创的用matlab实现的谐波提取 ，两种方案，先分频再提基波，或者利用带通滤波器(I study the signal system to achieve an original harmonic extraction using matlab, the two programs, the first frequency and then Ti Jibo, or the use of band-pass filter
)
- 2020-06-27 07:20:02下载
- 积分：1
-
Matlab7011478617
基于MATLAB7.0的统计信息处理，很厚的一本书，包含了特多的统计学算法及MATLAB实现，比如隐马尔科夫连，最小二乘法等统计学算法(Statistical information processing based on MATLAB7.0 very thick book that contains a special number of statistical algorithms and MATLAB implementation, such as hidden Markov with, least squares, a statistical algorithm)
- 2010-05-06 16:04:52下载
- 积分：1
-
wm(OFDM-ml)
关于采用最大似然同步的OFDM的MATLAB仿真算法，其中调制采用的是QPSK。(About using the maximum likelihood algorithm MATLAB simulation of synchronous OFDM, which uses a modulation QPSK.)
- 2014-11-25 21:16:18下载
- 积分：1
-
active-learning-code
Learning_random.m : 随机选择样例，从（90）pool里随机选择样本，删除版本空间树的数量
activeLearning.m:根据最大熵原则,从pool里选择样本，删除版本空间树的数量
getlabel.m:根据树和测试样例，得到根据该树得到的类标
getTrees.m:从提供的大量树结构(随机生成的)中，随机挑选一定数量的树(如果该树的叶子节点无类标随机添加)
RandomCreateTree_d_unbalance:根据样本点割点中的非平衡割点建造树，
RandomCreateTree_d_all.m:根据所有样本点的割点建造树
randomdata.m：给定属性取值，造数据
randomselect.m:从数据中随机选择一部分作为
showTree.m:显示树的结构
test.m:给出树，测试样例，得到正确率(Learning_random.m: randomly selected sample, randomly selected sample from (90) pool the The deleted version space tree quantity activeLearning.m: selecting a sample from the pool based on the principle of maximum entropy, delete the number of version space tree getlabel.m: According to the tree and the test sample obtained according to the class standard getTrees.m the tree: from the tree structure (randomly generated), randomly selected a certain number of trees (the leaves of the tree node class marked randomly adding ) RandomCreateTree_d_unbalance: According to the sample point cut point unbalanced cut point construction tree, RandomCreateTree_d_all.m: construction of the tree randomdata.m all sample points cut point: given the value of the property, manufacturing data randomselect.m: random data Select as part showTree.m: tree structure test.m: tree, the test sample is given to get the correct rate)
- 2012-10-10 22:33:44下载
- 积分：1
