ANN-and-Matlab

解决拜占庭将军问题典型问题的源程序。分别采用Dolev算法、快速收敛算法、及 混合算法等多种算法。(Byzantine generals problem solving typical problems of the source. Respectively Dolev algorithm, fast convergence algorithm and hybrid algorithm and other algorithms.)

说明：  its also about wireless sensor network

基于兴趣点的对互信息度的图像匹配算法，介绍详细(Based on the mutual information of the image matching algorithm point of interest, Detailed)

The proposed approach satisfies the integrability condition and does not need any boundary condition assumptio-ns, we have designed a stand-alone, flexible Matlab implementation that enables to evaluation the proposed approach. The experiments on real images show the approaches ability to reconstruction the surface from SFS.

Data Encryption by Matrix Multiplication We will only use numbers 0 to 26 for the encryptive mathematics operation. Numbers from 1 to 26 are for letters from A to Z and 0 is for all non-letter characters. To minimize usage of numbers, all letters are converted to upper case. The original message is converted to number array according to the ASCII table and minus 64. We partition whole array into blocks of 8 numbers. The last block may be added several zeros. Then multiply each block by the an 8x8 matrix A which is invertible in Z27 to get cipher data. The decryption is the same process except to use its inverse matrix B. For good visual reading, we convert all non-letter characters to under score for the decryption.

田纳西伊斯曼过程的matlab仿真模块 直接操作即可产生数据 希望对初学者能有帮助 并且可以找到对应的经典文献(Tennessee Eastman process of matlab simulation module direct operation can produce data hope to help beginners can and you can find the corresponding classical literature )

此程序为Turbo编码的程序，用Matlab编程实现(Matlab program for turbo code)

密勒编译码的simulink实现，经过验证可用，希望对大家有所帮助(endoder and decoder of millerer based on simulink)

c++boost库的中文说明手册，说明比较详细，可以做初始学都的参考资料(the description of the boost lib ,suit for the people who)

归一化LMS算法即NLMS算法源程序，自适应信号处理变步长经典算法(Normalized LMS algorithm for the NLMS algorithm source code, adaptive signal processing algorithm for variable step classical)