资源列表
keguv
- 已调制信号计算其普相关密度，相关分析过程的matlab方法，利用最小二乘法进行拟合多元非线性方程。- Modulated signals to calculate its density Pu-related, Correlation analysis process matlab method, Multivariate least squares fitting method of nonlinear equations.
bunnui_v51
- 在MATLAB中求图像纹理特征，主要是基于mtlab的程序，使用混沌与分形分析的例程。- In the MATLAB image texture feature, Mainly based on the mtlab procedures, Use Chaos and fractal analysis routines.
chapter14
- 基于svm的数据分类预测，数据集是意大利葡萄酒种类的数据集，对葡萄酒进行种类识别以及分类。-Based on the svm data classification prediction, the data set is the Italian wine category data set, the wine species identification and classification.
chapter15_0
- svm 的参数优化，利用交叉验证法选择最优参数c g，最终提高训练集的分类准确率,更好的提高分类器性能-Svm parameter optimization, the use of cross-validation method to the optimal parameter c g, and ultimately improve the training set classification accuracy，better improve the classifier performan
chapter15_GA
- svm 的参数优化，利用ga(遗传优化算法)选择最优参数c g，最终提高训练集的分类准确率，更好的提高分类器性能-Svm parameter optimization, the use of ga (genetic optimization algorithm) to the optimal parameter c g, and ultimately improve the accuracy of the training set classification, better improve
gaSVMcgForClass
- svm 的参数优化，利用ga(遗传优化算法)选择最优参数c g，最终提高训练集的分类准确率，更好的提高分类器性能,这是ga的功能函数源码-Svm parameter optimization, the use of ga (genetic optimization algorithm) to the optimal parameter c g, and ultimately improve the training set classification accuracy, better imp
main
- main主函数, 简单写入，STM32源码，可能有删减-Main main function, simple write, STM32 source code, may be deleted
sanshitu
- 三视图和轴测图，来自于计算机图形学，是初学者以及自学者的极好选择，会去的极大进步- U4E09 u89C6 u56FE u548C u8F74 u6D4B u56FE uFF0C u6765 u81EA u4E8E u8BA1 u7B97 u673A u56FE u5F62 u5B66 uFF0C u662F u521D u5B16 u8005 u4E5 u53CA u81EA U5B66 u8005 u7684 u6781 u597
filter_coff_fix_point
- 用matlab将滤波器的浮点型系数转换为二进制定点型-Use matlab to convert the floating-point coefficients of the filter to binary fixed-point type
12
- 里面包括了严蔚敏版数据结构所有算法代码，特别好的资料，可以看看啊-Which includes Yan Wei Min version of the data structure of all the algorithm code, particularly good information, you can see ah
fa628
- 多姿态，多角度，有不同光照,独立成分分析算法降低原始数据噪声，到达过程是的泊松过程。- Much posture, multi-angle, have different light, Independent component analysis algorithm reduces the raw data noise, Arrival process is a Poisson process.
xahmc
- 相关分析过程的matlab方法，均值便宜跟踪的示例，计算多重分形非趋势波动分析。- Correlation analysis process matlab method, Example tracking mean cheap, Calculate the multifractal trend fluctuation analysis.