Speed_Control_IM_SVPWM

LMS算法是一种很有用且很简单的估计梯度的方法。这种算法60年代初得出以后很快得到应用，它的突出优点是计算量小易于实现，且不要求脱线计算。只要自适应线性组合器每交迭代运算时都知道输入信号台和参考响应，那么，选用LMS算法是很合适的。(LMS algorithm is a very useful and very simple estimate of the gradient method. The algorithm reached 60 soon after the early applied, it is to calculate the amount of the outstanding advantages of a small easy to implement, and does not require off-line calculation. As long as the adaptive linear combiner time per each iteration all know that Taiwan and the reference input signal response, then the selection of LMS algorithm is very appropriate.)

灰色预测GM（1，1）模型的matlab源代码，包括预测模型的建立(Gray prediction GM (1,1) model matlab source code, including the prediction model)

TRACKING AN OBJECT IN A SEA ARE FROM RADAR SONAR

用于二维平面的闭合曲线三次插值，通过给定的几个坐标点，完成闭合曲线的三次插值函数(Closed curve cubic interpolation for two-dimensional plane, through a given number of coordinate points, complete the closed curve cubic interpolation function)

matlab2010具有不可比拟的新的功能，希望大家能够喜欢(matlab 2010 has many essencial function .I hope every one coming here will love it.)

温度控制的simulink仿真程序，可以运行(simulink)

MATLAB FDATOOL的使用和具体的使用方法(MATLAB FDATOOl)

Matlab 命令总结 散点图 一元线性回归 多元线性回归 非线性回归 其它命令(Matlab command scatter summed up one linear regression multiple linear regression non-linear regression of other orders)

摘要 该文主要考虑利用图像噪声再生技术来提取图像细节 其思想是利用被滤除的噪声信号进行回收再利用 通过对噪声信号和初步去噪信号进行小波变换 比较它们的小波系数 当噪声信号的小波系数达到一定的阈值时 将噪声信号的小波系数保留叠加至初步去噪信号的小波系数 然后利用传统的软阈值去噪的方法来进行图像的去噪 从而达到既能够去除噪声 又能保留图像细节的目的 实验证明 该方法较传统的方法在去噪和细节保持上有改进(Abstract In this paper, consider using images to extract the noise regeneration of its ideological image detail is the use of the noise signal was filtered to recycle through the noise signal and the initial wavelet transform de-noising signal comparison of their wavelet coefficients of the wavelet signal when the noise coefficient reaches a certain threshold will be the noise signal superimposed to the wavelet coefficients to retain the initial de-noising signal wavelet coefficients and then using the traditional soft-threshold denoising approach to image denoising in order to achieve the removal of noise can not only be able to retain The purpose of image detail that the methods of the experiment a more traditional approach to denoising and detail in there to keep improving)

k-svd算法在表情识别方面的实现和实例应用，附有图片和文章。(k-svd algorithm for face recognition on the implementation and application examples, with pictures and articles.)