scheme2

以网格作为逻辑结构，具有高联通，低负载，扩展性强的特点。经分析表明，该方案更高效、安全、抗攻击能力更强。(To the grid as a logical structure, with high Unicom, low load, expansion and strong features. The analysis shows that the program more efficient, safe, stronger anti-attack capability.)

说明：  实现十进制到二进制的转换，是用MATLAB程序写的。考虑很 全面。(Implement decimal to binary conversion program is written in MATLAB. Considered comprehensive.)

利用相关分析法对系统进行辨识，使用matlab,能够成功辨识出系统传递函数(Correlation analysis method using the system identification, the use of matlab, can successfully identify the system transfer function)

这个程序自己编写的，可以实现简单的图像的二值化和均衡化(The procedures, can achieve a simple picture of the value of two and equalization)

利用matlab仿真系统的响应，通过对系统的反馈参数的设计比较其输出的不同，并且分析其稳定性。(using Matlab simulation system in response to the system through feedback from the design parameters to compare the different outputs and analysis of its stability.)

用matlab实现信号的基本处理，还要学会用matlab进行分析(Using matlab to achieve the basic signal processing, but also learn how to use matlab for analysis)

OFDM系统中PAPR抑制（使用SLM方法）(PAPR reduction in OFDM systems)

最优化中的检验算法，适合初学者，本程序由matlab编写(Optimization of the test algorithm, suitable for beginners)

本程序基于matlab编写，利用最小二乘法来拟合圆形。(Matlab based on the preparation of this procedure, using the least square method to fit round.)

本算法在Matlab2008b 环境下实现了立体视觉中摄像机的基础矩阵计算。包括main, sevenPoint、eightpoint 和eightpoint_norm三个函数。 main.m 是程序的入口，包括生成和读入实验数据，分别调用sevenPoint、eightpoint 和eightpoint_norm 三个函数求基础矩阵，最后绘制出最后的结果。sevenPoint.m 是用7 点法求解基础矩阵。eightpoint.m 是用8 点法求解基础矩阵，eightpoint_norm.m 是数据规格化后的8 点法求解基础矩阵。(The algorithm is implemented in Matlab2008b environment based stereo vision camera matrix calculations. Including the main, sevenPoint, eightpoint and eightpoint_norm three functions. main.m is the entry, including the generation and reading test data were calling sevenPoint, eightpoint and eightpoint_norm three fundamental matrix function evaluation, and finally draw the final result. sevenPoint.m 7 method is based on matrix. eightpoint.m 8-point method is based on matrix, eightpoint_norm.m the data after the 8-bit normalized fundamental matrix method. )