Sensor-Node-Data

复杂网络的基础，无标度网络程序 采用轮赌算法(The basis of complex network, scale-free network using round of betting algorithm procedure)

粒子群算法介绍，帮助了解粒子群算法及MATLAB编程(Particle swarm optimization to help understand the particle swarm algorithm and MATLAB programming)

经验模态分解程序，把信号分解为固有模态函数(the program of emd)

It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems. The emphasis is on models for both identification and control. Static and dynamic backpropagation methods for the adjustment of parameters are discussed. In the models that are introduced, multilayer and recurrent networks are interconnected in novel configurations, and hence there is a real need to study them in a unified fashion. Simulation results reveal that the identification and adaptive control schemes suggested are practically feasible. Basic concepts and definitions are introduced throughout, and theoretical questions that have to be addressed are also described

通过4阶龙格库塔方法求解混沌系统的微分方程(Through four order Runge-Kutta method for solving differential equations of chaotic systems)

利用小波变换进行图像去噪的程序 基于MATLAB的(Image denoising using wavelet transform procedures for MATLAB-based)

802.16仿真代码，很全面的学习资料，适合初级学习者，内附注释。(802.16 simulation code, is a comprehensive learning materials for primary learners, included comments.)

说明：  系统辨识工具箱, 使用命令行估算线性模型(system identification toolbox)

Our aim is to solve a set of linear equations by the use of a single layer feedforward Neural Network

WiMAX tes for channel with two Q and CDF function