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丢蕃方程的求解，包括单步和多步，是实施最小方差自校正控制和广义预测控制的基础。(Diophantine equations, including single-step and multi step is to implement the minimum variance self-tuning control and generalized predictive control of the foundation.)

均匀介质二维声波数值模拟，采用cerjan边界条件，有公式及参考文献。带有速度模型以及雷克子波函数，解压后直接运行就可以(The homogeneous medium two-dimensional acoustic wave numerical simulation, boundary conditions of cerjan, and formulas and references. With the velocity model and the the Ricker wave function, and can run directly after decompression)

主元分析方法，主要用于提取主元，数据降维(Principal components analysis)

细菌群趋药性算法（二维），里面内嵌了一个示例目标函数，多维的更完善程序将在近期更新(Bacterial colony chemotaxis algorithm (D), embedded inside a sample objective function。 Multi-dimensional, more comprehensive program will update in the near future)

The purp ose of this Primer is to help you b egin to use MATLAB. It is not intendedto b e a substitute for the User s Guide and Reference The purpose of this Primer is to help you begin to use Matlab.The Primer can best be used hands-on. You are encouraged to work at the computer as you read thePrimer and freely exp eriment with examples. This Primer, along with the on-line helpfacility, usually suce for students in a class requiring use of MATLAB

DEOS Matlab InSAR tolbox version 1.1， 包含针对Doris产品的仿真、可视化脚本，以及去线性趋势、多视处理等。(It contains scripts for simulation, visualization of the products of Doris, and for additional processing (trend removal, multilooking, etc.).)

programmed to manipulate the Gray Cyclic Binary Codes.

用MATLAB编写的一个通过积分运算进行衍射计算的小程序。(MATLAB prepared an operation conducted by integral calculation of the diffraction small programs.)

加氢装置分馏塔相关质量数据，用matlab建模用于预测(The hydrogenation unit fractionator quality data, matlab modeling used to predict)

利用x(n)=Asin(pi*n/16)+z(n),z(n)为mean=0，var=0.1高斯白噪声，x(n)的SNR为10dB,s(n)=Asin(pi*n/16-5*pi),得出了x(n)和s(n)互相关函数r(n)，以及二者的卷积和.(The utilization for the mean of x (n) = Asin (pi* n/16)+ z (n), z (n) = 0, var = 0.1 Gaussian white noise, x (n) is the SNR as 10dB, s (n) =Asin (pi* n/16-5* pi), draw the x (n) and s (n) the cross-correlation function r (n), as well as the convolution of the two.)