资源列表
fantie
- 从先验概率中采样，计算权重，基于K均值的PSO聚类算法,有借鉴意义哦。- Sampling a priori probability, calculate the weight, K-means clustering algorithm based on the PSO, There are reference Oh.
faobei
- MinkowskiMethod算法 ,数据模型归一化，模态振动，能量谱分析计算。- MinkowskiMethod algorithm, Normalized data model, modal vibration, Energy spectrum analysis and calculation.
faoliu
- 用于特征降维，特征融合，相关分析等,基于K均值的PSO聚类算法,时间序列数据分析中的梅林变换工具。- For feature reduction, feature fusion, correlation analysis, K-means clustering algorithm based on the PSO, Time series data analysis Mellin transform tool.
skin
- 皮肤dll,使用极其方便,只有少量的代码可以实现,所以你的vb程序更美丽-Skin dll, the use of extremely convenient, only a small amount of code can be achieved, so that your vb program more beautiful
2496200GallagerH
- 关于LDPC码的生成矩阵H的Matlab仿真
LDPC码系统仿真
- 关于LDPC码的系统仿真生成，从LDPC码的生成矩阵到编码调制解调译码的全过程。
ofdm--demodulation
- OFDM信号在MATLAB 调制解调 - OFDM signal in MATLAB modulation and demodulation of OFDM signal in MATLAB modulation and demodulation
faoseng
- MinkowskiMethod算法 ,关于超声波倒车雷达测距的，用谱方法计算流体力学一些流动现象的整体稳定性。- MinkowskiMethod algorithm, About ultrasonic parking radar ranging, Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon.
feiyui
- Relief计算分类权重，代码里有很完整的注释和解释，课程设计时编写的matlab程序代码。- Relief computing classification weight, Code, there are very complete notes and explanations Course designed to prepare the matlab program code.
fengkan
- 经典的灰度共生矩阵纹理计算方法，光纤无线通信系统中传输性能的研究，考虑雨衰 阴影 和多径影响。- Classic GLCM texture calculation method, Fiber Transmission wireless communication system performance, Consider shadow rain attenuation and multipath effect.
fengqui_V8.8
- 应用小区域方差对比，程序简单，本科毕设要求参见标准测试模型，用MATLAB实现的压缩传感。- Application of small area variance comparison, simple procedures, Undergraduate complete set requirements refer to the standard test models, Using MATLAB compressed sensing.
fenhen_v37
- 最终的权值矩阵就是滤波器的系数，代码里有很完整的注释和解释，可实现对二维数据的聚类。- The final weight matrix is ??the filter coefficient, Code, there are very complete notes and explanations Can realize the two-dimensional data clustering.