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用Matlab实现图像的整数小波变换和逆变换，对行和列各做一次，采用最简单的S小波，它是Haar变换的整数形式。此程序代码为逆程序代码(Using Matlab for image wavelet transform and inverse integer transform, the rows and columns to do once the most simple and S-wavelet, which is the integer Haar transform. This program code against the code)

matlab绘制指南针，能够调整位置，大小和让其旋转一定角度，很实用(Matlab to draw the compass, it can adjust the position, size, and let the rotation Angle, very practical)

包括许多数学建模需要的函数。例如三角函数等。(Including many mathematical modeling function. Such as trigonometric functions.)

通过设计一个二阶加权系数自适应横向FIR滤波器，对一个加随机噪声的正弦信号实现滤波。 具体设计方案为： 1，生成标准正弦信号S 2，生成等长的随机信号N 3，生成加随机噪声的正弦信号X 4，X通过参数可调数字滤波器，输出Y 5，Y与参考信号作差得到误差E 6，E通过自适应算法调整权值W 7，用LMS算法处理噪声干扰的信号，最终实现滤波器功能(A two order weighted coefficient adaptive transverse FIR filter is designed to filter a sinusoidal signal with random noise. The specific design scheme is as follows: 1, generating a standard sinusoidal signal S 2, generating an equal length random signal N 3, generating a sinusoidal signal X with random noise 4, X can adjust the digital filter by parameter and output Y 5, the difference between the Y and the reference signal is E 6, E adjusts the weight W through the adaptive algorithm 7, the LMS algorithm is used to deal with the noise interference signal, and the filter function is finally realized.)

含有GUI的全息图再现代码，方便使用，可以好好学习一下(Hologram reconstruction with GUI code, easy to use, you can learn about)

LTE中的CRC添加代码 分逐位运算和逐字节运算（查表法） matlab实现(Appending CRC for data_bits in LTE )

matlab程序设计基础PPT的一个集合包(matlab program design based on a collection of packages PPT)

大气统计方法作业 对给定数据进行功率谱分析 并画出功率谱图(For a given power spectrum analysis of the data and draw the power spectra)

用基本的粒子滤波算法，即SIR运行UNGM模型。通过UNGM模型显示SIR对于非线性系统的性能。(With the basic particle filter algorithm, that is, to run UNGM model of SIR. By UNGM model shows SIR for the non-linear system performance.)

Total gradient method extremum If using MATLAB is not difficult, but with C + + is not very easy.(Total gradient method extremum If using MATLAB is not difficult, but with C++ is not very easy.)