SAR-chengxiang

说明：  mexcn工具包(2010bmatlab)(mexcn tool box(2010bmatlab))

一个很有用的基于稀疏的信号处理工具箱，包含有多种算法。(a useful toolbox based on sparse signal processing )

A mathmatical model of biology(A mathmatical model for ATM response)

用Matlab程序求解pde问题，同时显示解的图形(Solving pde problems with the Matlab program, also shows a graphical solution)

各种kalman滤波器的设计，小波包分析提取振动信号中的特征频率，最大信噪比的独立分量分析算法。( Various kalman filter design, Wavelet packet analysis to extract vibration signal characteristic frequency, SNR largest independent component analysis algorithm.)

说明：  文件里边是针对两个非线性、变系数、非齐次偏微分方程的求救方法(The content of the document is for two nonlinear, variable coefficient, inhomogeneous partial differential equation solution method)

CIC filter setup, this is special used for the DDC

空域数字图像线性滤波器和频域非递归滤波器（包括：频域变换法、频域抽样法和窗函数法）的Matlab实现。(Airspace linear digital image filters and frequency-domain non-recursive filter (including: frequency-domain transformation method, frequency-domain sampling method and window function method) of the Matlab implementation.)

用Gauss_Seidel迭代法来求解方程组的解的程序(With Gauss_Seidel iterative method to solve the solution of system program)

在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方 法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系 统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函 数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。 本章拟合的非线性函 数为 y = x1^2+x2^2. 。 (In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..)