滤波器综合代码

用于在matlab中实现非线性回归的支持向量机svm算法(Used matlab to implement non-linear regression algorithm of support vector machines svm)

induction machine abc_model

对《合成孔径雷达——算法与仿真实现》光盘的文件进行提取转换为》dat文件(On " Synthetic Aperture Radar- Algorithm and Simulation" CD-ROM file extraction converted to " dat file)

拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化，构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法，尤其对于困难的问题。另外，因为拟牛顿法不需要二阶导数的信息，所以有时比牛顿法(Newton s Method)更为有效。如今，优化软件中包含了大量的拟牛顿算法用来解决无约束，约束，和大规模的优化问题。(The quasi-Newton method and the Steepest Descent Methods only require that each step iterations know the gradient of the objective function. By measuring the change of the gradient, constructing a model of the objective function is sufficient to produce superlinear convergence. This method is much better than the steepest descent method, especially for difficult problems. In addition, because the quasi-Newton method does not require information on the second derivative, it is sometimes more effective than the Newton s Method. Today, the optimization software contains a large number of quasi-Newton algorithm used to solve the unconstrained, constraint, and large-scale optimization problems.)

基于最大信噪比的盲源分离算法（附参考文章），能够分离线性混合的超高斯和亚高斯源信号, 并且可以有效地分离语音信号。((With reference to the article), can be separated and super-Gaussian linear mixed sub-Gaussian source signal to noise ratio based on the largest blind source separation algorithm, and can effectively separate the voice signal.)

Matlab零相位滤波（基于巴特沃斯模拟滤波器） 效果图

集成了C代码和MATLAB的主成分分析代码，可以用这两种方法解决求取特征值和特征向量。(C code and MATLAB integrates principal component analysis code, you can use two methods to solve strike eigenvalues ​ ​ and eigenvectors.)

此程序是运用强跟踪UKF滤波实现捷联惯导实现初始对准，可以仿真数据，如果有实验数据也可以用！效果还可以。(This procedure is the use of strong tracking UKF SINS to achieve the initial alignment, simulation data, if the experimental data can be used! Effect can also be.)

图像角点提取－harris，以及非最大抑制等，并有其他角点检测代码(Image Corner Detection-harris, as well as non-maximal inhibition, and has other corner detection code)

semi-supervised LLE,matlab codes.