Hopfield

说明：  程序\RS.rar MATLAB程序 谢谢支持(Program \ RS.rar MATLAB program thanks to support)

Matlab5 手册，既适合初学者，也适合高级matlab用户，有目录和每一章的pdf文件(Matlab5 manuals, both suitable for beginners, but also suitable for senior matlab users directory and each chapter has the pdf file)

用拉格朗日乘子法解有约束优化问题的matlab程序。(Lagrange multiplier method for solving constrained optimization problems matlab program.)

说明：  采用matlab对两幅视差图像进行3维重建，利用了对极几何的关系。(Matlab on the two parallax images with a 3-dimensional reconstruction, use of a very geometric relationship.)

常用IIR语音信号处理器v1.01,可变参数的四种滤波器，实现高通，低通，带通，带阻滤波。(IIR filter)

压缩采样仿真实验代码，基于随机解调器，仿真功能完善(Compressive sampling simulation code, based on random demodulator perfect simulation function)

相位噪声的仿真程序，用以在正弦波上添加相位噪声(phase noise)

针对基本无线传感器网络DV-Hop定位算法中，计算平均跳距时产生偏小误差的原因，提出了基于平均跳距修正的DV-Hop算法。改进算法中，引入信标节点个数比例、所有信标节点平均跳距的最大值以及所有信标节点平均跳距的平均值三个因子，并采用它们对平均跳距进行修正。通过Matlab软件对算法进行仿真验证，结果表明，改进后的 DV-Hop 算法有效降低了未知节点的定位误差，是一种可行的无线传感器网络节点定位解决方案。(DV-Hop localization algorithm for wireless sensor networks, we calculate the average hop distance small error of reasons, raised the DV-Hop algorithm based on the average hop distance correction. Improved algorithm, the proportion of the number of nodes, the introduction of beacons, the beacon node average maximum jump distance as well as all the beacon nodes average jump from the average of three factors, and their average hop distance correction. Matlab software simulation results show that the improved DV-Hop algorithm effectively reduce the unknown node positioning error, the solution is a viable wireless sensor network node positioning algorithm.)

电子工业出版社 《数字信号处理》第2版课后题MATLAB 2-40题(Electronic Industry Press Digital Signal Processing 2nd edition title after title MATLAB 2-40)

Draws Black-Scholes surface for European call Compute expected payoff for European call & Illustrates risk neutrality Apply Netwon s Method to N(x) + exp(x) = 2.(Draws Black-Scholes surface for European call Compute expected payoff for European call & Illustrates risk neutrality Apply Netwon s Method to N(x)+ exp(x) = 2.)