资源列表
Gauss
- 列主元高斯消元法已通过上机验证适合于数值计算学习者编程欢迎下载-PCA out Gauss elimination method has been adopted to verify the machine is suitable for numerical programming learners welcome to download
polyorder
- 最小二乘拟合，求多项式系数，包括建立误差方程、误差方程法化，迭代求解-Least squares fitting of a polynomial coefficient, including the establishment of error equation, the error equation, iterative solving
Stribeck-Friction-Model
- 采用M语言仿真stribeck的三轴伺服系统，可以在低速情况下观察较强的摩擦现象-With M-language simulation stribeck three-axis servo systems, in the case of low friction phenomena observed strong
zuoye
- 模式识别作业，贝叶斯分类，欧式距离马氏距离-Pattern recognition operation, the Bayesian classifier, the Euclidean distance, Mahalanobis distance
BBPnnettP
- BP神经网络的简单易懂应用示示例，完成了网络训练并进行验证 -BP neural network is simple and easy to understand application to show the example, to complete the network training and validation
jiejulaiguji
- M2M4-该代码是经典的信噪比估计算法，用到了统计学中基于矩估计的思想，利用信号的2、4阶矩来估计接收信号的信噪比-M2M4-the code is the classic SNR estimation algorithm used in the statistical moment estimation based on the idea, the signal of 2,4-order moments to estimate the signal to noise ratio of the
ADRC
- 这是自抗扰控制算法ADRC完整的C语言程序，调试通过的，具有通用性。-This is the control algorithm ADRC ADRC complete C language programming, debugging through, with versatility.
stable-marrige-problem
- 婚姻匹配问题模型，同样可以用到市场匹配问题-a model of marrige matching, can also be used to solve market matching problem
next_permutation
- 自己手写的 next_permutation-next_permutation by myself
june1503
- 该程序用来实现扩展卡尔曼滤波（EKF),仿真中用扩展卡尔曼滤波实现对雷达目标的跟踪，并估计。-The program used to implement the extended Kalman filter (EKF), simulation with extended Kalman filter to achieve the target tracking radar, and estimates.
Euler-backward-difference-scheme
- 欧拉向后差分格式的程序文件，可直接调用，在科学计算中有很重要的应用.-Euler backward difference scheme of program files can be called directly,which have important applications in scientific computing.
MutualInfo
- 互信息,一个随机变量中包含另一个随机变量的信息量，可用于度量随机变量间的所有相关关系，包括线性相关关系和非线性相关关系。-Mutual information, a random variable that contains information on another random variable, can be used to measure all the correlations between random variables, including linear correlatio