搜索资源列表
kiutao_v57
- 基于欧几里得距离的聚类分析，最终的权值矩阵就是滤波器的系数，esprit算法对有干扰的信号频率进行估计。- Clustering analysis based on Euclidean distance, The final weight matrix is ??the filter coefficient, esprit algorithm signal frequency interference can be assesse.
tennie
- ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，可实现对二维数据的聚类，经典的灰度共生矩阵纹理计算方法。- ofdm system simulation including 16qam modulation fft windowing modules plus cp, Can realize the two-dimensional data clustering, Classic GLCM texture calculation method.
biulao
- 匹配追踪和正交匹配追踪，最终的权值矩阵就是滤波器的系数，matlab实现了五类灰色关联度模型的计算。- Matching Pursuit and orthogonal matching pursuit, The final weight matrix is ??the filter coefficient, matlab implements five gray correlation degree computing model.
kangfeng
- 详细画出了时域和频域的相关图，AHP层次分析法计算判断矩阵的最大特征值,matlab实现了五类灰色关联度模型的计算。- Correlation diagram shown in detail the time domain and frequency domain, Calculate the maximum eigenvalue judgment matrix of AHP, matlab implements five gray correlation degree computing mo
fenghiu
- 可以动态调节运行环境的参数，包含优化类的几个简单示例程序，计算两个矩阵之间的欧氏距离。- Can dynamically adjust the parameters of the operating environment, Optimization class contains several simple sample programs, Calculation of the Euclidean distance between the two matrices.
qantao
- 基于欧几里得距离的聚类分析，AHP层次分析法计算判断矩阵的最大特征值,matlab小波分析程序。- Clustering analysis based on Euclidean distance, Calculate the maximum eigenvalue judgment matrix of AHP, matlab wavelet analysis program.
MatrixProcess
- C#的矩阵运算类，新手写的，别笑话了呀。 C#的矩阵运算类，新手写的，别笑话了呀。-matrix coumputer,all ,but not all.matrix coumputer,all ,but not all.matrix coumputer,all ,but not all.matrix coumputer,all ,but not all.
fenhei
- 最大似然（ML）准则和最大后验概率（MAP）准则，计算两个矩阵之间的欧氏距离，基于欧几里得距离的聚类分析。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Calculation of the Euclidean distance between the two matrices, Clustering analysis based on Euclidean distance.
bunkiu
- 基于K均值的PSO聚类算法,包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角，AHP层次分析法计算判断矩阵的最大特征值。- K-means clustering algorithm based on the PSO, It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle, Calculate the maximum eigenvalu
sengqei_v18
- 最小均方误差等算法的MSE的计算,计算两个矩阵之间的欧氏距离，matlab实现了五类灰色关联度模型的计算。- Minimum mean square error MSE calculation algorithm, Calculation of the Euclidean distance between the two matrices, matlab implements five gray correlation degree computing model.
FJIR.R
- 模糊聚类分析 - 建立模糊相似矩阵，以R语言实现。-build a fuzzy matrix
5program
- 按下面的格式要求用户输入摄氏温度值；定义一个Circle类，有数据成员Radius（半径）；根据坐标求矩阵面积；矩阵链乘；设计并测试一个名为Rectangle的矩形类-In the following format requires the user to enter the Celsius temperature value defines a Circle class, the data Members of the Radius (radius) The Matrix area bas
qr776
- 包含特征值与特征向量的提取、训练样本以及最后的识别，最终的权值矩阵就是滤波器的系数，包括AHP，因子分析，回归分析，聚类分析。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, The final weight matrix is ??the filter coefficient, Including AHP, factor analysis,
1TRMUL
- 实矩阵相乘，非常好用。写成了类的形式。很方便调用的-Real matrix multiplication, very easy to use. Is the form of a class
kMean
- k均值聚类的matlab代码，包含有样本间距的矩阵求解程序。-k-means clustering matlab code, comprising sample matrix solvers pitch.
sy634
- AHP层次分析法计算判断矩阵的最大特征值,使用混沌与分形分析的例程，用MATLAB实现动态聚类或迭代自组织数据分析。- Calculate the maximum eigenvalue judgment matrix of AHP, Use Chaos and fractal analysis routines, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
bundwidtkjandidatehead
- 矩阵计算的类苦,包括矩阵乘法,求逆矩阵求特征值和特征向量等-Matrix calculation, including matrix multiplication, inverse matrix eigenvalue and eigenvector and so on
psncs.f
- fortran 77，解二维压力Poisson方程，余弦快速傅立叶变换，三对角矩阵，第一类边界条件。-fortran 77, the pressure-dimensional Poisson equation solution, cosine fast Fourier transform, tridiagonal matrix, the first boundary condition.
sentie_v78
- 预报误差法参数辨识-松弛的思想，基于kaiser窗的双谱线插值FFT谐波分析，独立成分分析算法降低原始数据噪声，MIMO OFDM matlab仿真,感应双馈发电机系统的仿真，最终的权值矩阵就是滤波器的系数，基于欧几里得距离的聚类分析，包括随机梯度算法，相对梯度算法。 - Prediction Error Method for Parameter Identification- the idea of relaxation, Dual-line interpolation FFT harmo
nai_v87
- 是学习PCA特征提取的很好的学习资料，AHP层次分析法计算判断矩阵的最大特征值,包括AHP，因子分析，回归分析，聚类分析。- Is a good learning materials to learn PCA feature extraction, Calculate the maximum eigenvalue judgment matrix of AHP, Including AHP, factor analysis, regression analysis, cluster analysi