SVG

this pgm read text from file and encrypt using rail fence technique.Encrypted text written to file which is read and decrypted using railfence

在偏微分方程的数值求解中，有一类很重要的问题就是求解有奇异点的泊松方程，此程序是用C写的并行程序，能极大的提高泊松方程的求解(In the numerical solution of partial differential equations, there is a class of very important issues that have a singular point of solving the Poisson equation, this program is written in C parallel programs, can greatly improve the solution of the Poisson equation)

神经网络的matlab源码，可以运行，查看结果，非常棒(Neural network matlab source)

这是一些基本的matlab的图像处理源码，经过编译通过，完全可以运行，非常好用(This is some basic image processing matlab source, after the compiler is passed, can run, very easy to use)

Instrument Control Toolbox 2 supports industry-standard IVI and VXIplug&play drivers, as well as stand-alone MATLAB instruments drivers. This archive contains examples of using these drivers.

DIN Power measurement Theory in Matlab/simulink

说明：  采用2发1收的MISO—OFDM系统，对STBC／ SFBC／STFBC在不同的频率／时问选择性信道环境下进行了性能仿真比较。(A comparison of STBC，SFBC and STFBC has been conducted under the different frequency／time seleetive fading channel by using two by one MISO—OFDM system．)

dpcm是差分相移键控编码实现的方式，具有很详尽的说明(dpcm Coding)

交流伺服系统中的死区效应分析与补偿分析了逆变器的死区效应产生的原因及其对交流伺服系统控制性能产生的影响,指出死区补偿的关键 在于电流相位的获取,为了克服实际系统中电流零点的模糊性,提出了一种基于两相静止坐标系下的前馈死 区补偿方法. 该方法通过对三相输出电流一个周期内补偿电压进行傅里叶变换,发现仅需补偿1 ,5 ,7 次谐波 分量即可消除死区效应. 仿真和试验结果验证了这种方法的正确性和可行性.(AC servo system analysis and compensation of dead time effect of the inverter dead time effect causes the impact of the control performance of the AC servo system, and pointed out that the dead time compensation, the key lies in the current phase of the acquisition, in order to overcome the practical zero of the current ambiguity of the system is proposed based on the two-phase stationary coordinate system under the feedforward dead-time compensation method. by the offset voltage of the three-phase output current cycle Fourier transform is found only compensation 1, 5, 7 harmonic components to eliminate the dead time effect. simulation and experimental results verify the correctness and feasibility of this approach.)

The recent development of a meshless method by using radial basis functions will be reported in this talk. Application to both multivariate interpolation and solving partial differential equations have demonstrated the spectral convergence of the method for some particular radial basis functions like multi quadric. This talk will also discuss some of the recent proposed techniques for solving the ill-conditioning problem resulted from solving the full resultant matrix.