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Incomplete
- Add pilot symbols to the input data just before transmission 2. Implement cyclic prefix (CP), use 10 of symbol length. Divide the 64 input data points into 8-bit streams, generate and append the CP based on each symbol 3. Include complex
s2ss
- a program to divide a sequence to subsequences. Helpful for the OFDM simulations: Function to divide the input sequence to sub sequences s2ss - Function 1. (cd) Input the data 2. (hl) Hadamard matrix length 3. Outpot of the function i
FuzzyClusteringToolbox
- The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlab functions. Its propose is to divide a given data set into subsets (called clusters), hard and fuzzy partitioning mean, that these transitions between the subsets are crisp
fuzzy.zip
- 模糊聚类和数据分析工具箱是一个集合的Matlab功能。它的提出 是将一个给定的数据集为子集（称为集群），硬和模糊分区的意思是，这些之间的转换子集是脆的或渐进的。,The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlab functions. Its propose is to divide a given data set into subsets (called cluster
kmedian
- The method works as follows. 1. For a data set with dimensionality, d, compute the variance of data in each dimension (column). 2. Find the column with maximum variance call it cvmax and sort it in any order. 3. Divide the data points of cv
matlabxuexi
- 这是一个好的建模学习资料,赶快下载吧, 数学建模十大算法 ( 包含:蒙特卡罗算法、数据拟合、参数估计、 插值等数据处理算法、线性规划、整数规划、多元规划、二次规划等规划类问题、 图论算法、动态规划、回溯搜索、分治算法、分支定界等计算机算法、 最优化理论的三大非经典算法：模拟退火法、神经网络、遗传算法、 网格算法和穷举法、一些连续离散化方法、数值分析算法、图象处理算法）-This is a good model to study the information, download it quick
abc.m
- some things on divide with data so me things on divide with data so me things on divide with data so me things on divide with data so me things on divide with data-some things on divide with data some things on divide with data some things on divid
create_balanced_train_test
- Divide/Create data into training and testing data which are balanced basing on the labels.
create_kfolds_balanced_train_test
- Divide/Create data into K-Folds training and testing data which are balanced basing on the labels. It is for k-fold cross validation.
croos_val_10
- 10 fold cross validation application. it divide into ten fold your data an can use its your image processing app, artificial intelligence app., pattern recognition app. et.
GMDH
- gmdh代码 训练方法 —————————————— 1.将数据集分为训练集和测试集。 2.建立输入层 3.建立所有符合5楼条件的神经元（只考虑“攻”和“受”的关系，不考虑具体的权值）。如果前面几层共有N个神经元，那么我们就需要建立N(N-1)/2个神经元。 4.用最小二乘法确定权值 5.计算每一个神经元在测试集上的表现。 6.选取表现最好的K个神经元放在后面一层。（K可以自己选择） 7.重复3,直到网络的性能足够好，或者网络开始过拟合。(GMDH codeTraining me
MCM
- 划分预测对象状态 ： 根据预测的目的划分 计算初始概率 ： 根据历史数据计算状态概率 计算状态转移概率，构造转移概率矩阵P 根据转移概率进行预测，Pij 表示由状态 i 转移到状态 j 的概率 按最大可能性作为选择原则：选择（Pj1，Pj2，…， PjN ）中最大者为预测结果。 计算状态转移概率时，最后一个数据不参加计算(To predict the state of an object: divide it according to the purpose of prediction
第一题-1
- 用于聚类，输入二维参数，将数据分成2类，详情见上图(For clustering, input two dimensional parameters and divide the data into 2 categories. The details are shown in the above picture.)
FCM
- 数学建模评价模型中常用到的聚类分析法，聚类是将一组给定的未知类标号的样本分成内在的多个类别，使得同一类中的样本具有较高的相似度，而不同类中的样本差别大，聚类分析的目的是揭示和刻画数据的内在结构。(The clustering analysis method commonly used in mathematical modeling evaluation model. Clustering is to divide a set of samples of unknown class marks