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说明：  非线性方程的求解，包括牛顿法，两点割线法，数值延拓法，等等(nonlinear equation)

一维球坐标系下辐射传递方程切比雪夫配置点谱方法求解(One-dimensional spherical coordinates radiative transfer equation Chebyshev collocation spectral method for solving)

基于Matlab对表面肌电信号时频域分析处理的GUI界面程序(Surface EMG frequency domain analysis of the GUI interface program based on Matlab)

差分方程求解 实验步骤： 主界面下进入实验五的“差分方程求解”子系统,输入希望看到的输出样点数 输入差分方程系数向量 输入顺序为：，。其中 N+1 为差分方程两边系数最大数目，如果有一边输入系数个数小于 N+1，将按不足系数为零计算。 输入系统初始状态向量 输入顺序为 鼠标单击确定按钮，以数值和图形两种方式显示单位冲激响应和输出响应 3） 确定差分方程形式：y(k)-y(k-1)+0.35y(k-2)=2x(k)-x(k-1)，(Experimental steps for solving differential equations: the main interface into five experimental " differential equation" subsystems, would like to see the output of input sample points difference equation coefficient of input vector input sequence as follows:,. One of N+1 differential equations for the maximum number of factors on both sides, if there is one less than the number of input coefficient of N+1, the calculation will be less than zero coefficient. Initial state vector input system for the importation of the order of the mouse button to click OK to both numerical and graphical display unit impulse response and output in response to 3) to determine the form of differential equation: y (k)-y (k-1)+0.35 y (k-2) = 2x (k)-x (k-1),)

说明：  另外一种旋转式永磁同步电动机空间矢量PWM控制算法，可以作为比较参考。(Another permanent magnet synchronous motor rotating space vector PWM control algorithm can be used as comparison reference.)

sparsity 工具箱,包括稀疏信号的感知压缩和多种解码恢复算法。(tool_sparsity, including sparse signal compression and recovery.)

7自由度模型车身上质心的垂向加速度功率谱密度(7 degrees of freedom model of the car body center of mass vertical acceleration power spectral density)

该文档是一个比较简单的能够获得压缩感知稀疏解的matlab代码-OMP(正交匹配追踪)， 通过离散傅里叶变换将时域接收信号变换到频域上， 得到接收信号的频域稀疏表示，通过OMP算法，求出稀疏解， 并通过重构信号误差衡量该算法代码的精确度。(This document is a simple matlab code -OMP (Orthogonal Matching Pursuit algorithm) by which the sparse solution of compressed sensing can be obtained. Firstly, signals received are transformed from the time domain to the frequency domain by the discrete Fourier transform. Secondly, sparse solutions of received signals are obtained by OMP algorithm. Finally, reconstruction error depicts the accuracy of the algorithm.)

自适应滤波器算法与实现——最小均方误差LMS(Adaptive filter algorithm- least-mean-square error LMS)

说明：  关于主要的图像超分辨率重建和复原算法，配准，实例，正则化(Super-resolution images on the major reconstruction and restoration algorithm, registration, case, regularization)