rectan_circl_pbg

模糊PID控制的又一程序，可以调节PID个参数来完成各控制量的控制(Fuzzy PID control of another program, can adjust the PID parameters to control the volume of complete control)

butterworth bandpass filter design

我是刚上研一的小虾米，也不知道传些啥。文档是我们信号检测与估计课下的MATLAB仿真。希望对大家有所帮助。(I was just on Kenichi Shrimps, do not know what are work. The document is the lesson of our signal detection and estimation MATLAB simulation. I hope to be helpful to everyone.)

基于数字图像跟matlab对车辆空位统计系统的实现，实现灰度图像的二值化，边缘检测等(Based on digital image with matlab of vehicle space statistical system, realize the gray image binarization, edge detection and so on)

用独立分量分析方法实现地震转换波与多次反射波分离(Using independent component analysis method to achieve multiple seismic converted wave and the reflected wave separation)

BINARY ITERATIVE HARD THRESHOLDING CODE

此程序是简单的线性双边带调制，希望能够为大家提供些参考(ssb)

说明：  第四章 MATLAB 图形对象操作 4.1 图形对象的属性 4.2 图形对象句柄的获取 4.2.1 对象创建时获取 4.2.2 层次关系来获取 4.2.3 当前对象的获取 4.2.4 根据对象属性值的获取 4.3 图形对象句柄的删除与判断 4.3.1 句柄的删除 4.3.2 句柄的判断 4.4 图形对象属性值的获取与设置 4.4.1 图形对象属性值的设置 4.4.2 图形对象属性值的获取 4.4.3 用户缺省值的操作 4.5 图形对象的其它操作 4.5.1 figflag 函数 4.5.2 findfigs 函数 4.5.3 copyobj 函数 4.5.4 capture 函数 4.5.5 refresh 函数 4.5.6 saveas 函数 4.5.7 hgload 函数和 hgsave 函数 4.5.8 newplot 函数 (Chapter IV of MATLAB graphic objects to operate the properties of graphic object 4.1 graphic object handle 4.2 Access 4.2.1 object created when the relationship between the level of access to 4.2.2 to get 4.2.3 to obtain the current object under the object attribute value 4.2.4 Access 4.3 graphic object handle to remove the judge handles the deletion of 4.3.1 judgments 4.3.2 Handle 4.4 graphic object attribute values to obtain and set the target attribute value 4.4.1 graphics settings 4.4.2 graphic object attribute values to obtain 4.4 .3 user operation 4.5 Default graphic object 4.5.1 figflag other operations function 4.5.2 findfigs function 4.5.3 copyobj function 4.5.4 capture function 4.5.5 refresh function 4.5.6 saveas function 4.5.7 hgload function and 4.5.8 newplot function hgsave function)

时间序列分析的matlab代码，带有文字说明，简单易懂(Matlab code, time series analysis with text descriptions, simple and easy to understand)

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.)