fuzzyDTC

说明：  matlab支持向量机用于多类模式的分类，较全面，可以迅速解决问题，值得下载！(matlab support vector machine model for multi-category classification, a more comprehensive, you can quickly solve the problem, it is worth to download!)

地震断层旋转功能，把地震断层按研究需要旋转到一定角度。(Earthquake fault rotation function, according to the research needs of earthquake faults rotated to a certain angle.)

说明：  拉格朗日插值卫星精密星历（包含主函数及非滑动式及滑动式插值脚本，脚本请按实际情况进行修改后使用）(Lagrange interpolation satellite precise ephemeris(including main function and non sliding and sliding interpolation scripts. Please modify the script according to the actual situation ))

kalman filter 的入门程序 包括 m 文件和 simulink 仿真文件 对于初学者 入门是很好的资料 (both m files and simulink models are included, which will be very helpful, especially for newlearners. )

快速独立分量分析（FastICA）源码及ICA在MRI图像中应用的例程。(Fast independent component analysis (FastICA) and ICA source images in MRI applications routines.)

souce code for histogram in matlab

如何计算音频文件的直方图的matlab源代码！(How to calculate the histogram of an audio file of matlab source code!)

matlab辅导讲义，介绍上机的，非常适合初学者使用(matlab counseling lectures, introduced on the machine, very suitable for beginners to use)

2. 设 是窄带信号，定义 是在 区间上均匀分布的随机相位。 是寬带信号，它是一个零均值、方差为1的白噪音信号e(n)激励一个线性滤波器而产生，其差分方程为 。 1） 计算 和 各自的自相关函数，并画出其函数图形。根据此选择合适的延时，以实现谱线增强。 2） 产生一个 序列。选择合适的 值。让 通过谱线增强器。画出输出信号 和误差信号e(n)的波形，并分别与 和 比较。 (Computer Experiments: 1. Consider an AR process x(n) defined by the difference equation where v(n) is an additive white noise of zero mean and variance .The AR parameters and are both real valued: a) Calculate the noise variance such that the AR process x(n) has unit variance .Hence , generate different realization of the process x (n). b) Given the input x (n), an LMS filter of length M = 2 is used to estimate the unknown AR parameters and . The step size is assigned the value 0.05. Compute and plot the ensemble average curve of and by averaging the value of parameters and over an ensemble of 100 different realization of the filter. Calculate the time constant according to the experiment results and compare with the corresponded theoretical value. c) For one realization of the LMS filter, compute the prediction error And the two tap-weight errors and Using power spectral plots of , show that)

This is the file mmasub.m(This function mmasub performs one MMA-iteration, aimed at solving the nonlinear programming problem)