ComputeDispersion

来自<Multiresolution gray-scale and rotation invariant texture classification with local binary patterns>,LBP，用于图像的纹理特征分析(From <Multiresolution gray-scale and rotation invariant texture classification with local binary patterns>,LBP, used for image textural feature analysis)

segmenting image processing using lazy snaping

标准grove算法与pi/2相移算法的成功概率对比程序 标准grove算法与三种改进算法的成功概率对比程序(Standard grove algorithm and pi/2 phase shift algorithm is the probability of success compared with the three process standards grove algorithm improved algorithm compared the probability of program success)

声纹识别，能够对说话人的声音进行识别，过程包括语音输入、预处理、特征提取、建立模型和匹配。(speaker Recognition)

dvb-t 内交织matlab程序，非常有用(dvb-t interleaving code)

传统的宽带信号中抑制正弦干扰的方法是采用陷波器(notch filter),为此需要精确知道干扰正弦的频率.然而当干扰正弦频率是缓慢变化时,且选频率特性要求十分尖锐时,则最好采用自适应噪声抵消的方法.下图是用一个二阶FIR的LMS自适应滤波器消除正弦干扰的一个方案。该代码实现了以下功能： 1) 借助MATLAB画出了滤波器的误差性能曲面和误差性能曲面的等值曲线； 2） 给出了最陡下降法以及LMS算法的计算公式； 3） 用MATLAB产生了方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出了采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线； 5）用MATLAB计算并画出了LMS法时误差随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； 7）最终对结果进行了分析，具体见压缩包的word文档。 (Wideband signal in the conventional sinusoidal interference suppression method is the use notch filter (notch filter), this requires precise knowledge of the frequency of a sinusoidal interference . However, when the interference frequency sinusoidal changes slowly , and the selected frequency characteristic requirements are very sharp , then best use of adaptive noise cancellation method . following figure is a second-order FIR LMS adaptive filter to eliminate a program sinusoidal interference . The code implements the following functions:   A ) draw with MATLAB error performance of the filter surface and the surface contour error performance curve 2 ) gives the steepest descent method and the LMS algorithm formula 3 ) generated using MATLAB variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour pl)

利用Kalman工具箱实现对目标跟踪中的航迹分析(-use Toolbox to achieve the goal of tracking Track Analysis)

运动检测matlab程序和广义高斯分布的matlab程序(motion detection procedures and Matlab Generalized Gaussian distribution of Matlab procedures)

实现卡尔曼滤波压缩感知和射影法压缩感知的算法对吧，包含了两者的性能仿真结果(Kalman filtering compressed sensing and projective France compressed sensing algorithm to it, including the performance of both the simulation results)

The purpose of this document is to help d ebutants in Matlab by introducing the most common commands.