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To find and estimate of the best solution and parameter in our problem we can use the evolutionary programming. PSO (particle swarm optimization) is an applicable method to catch this target. In these files I show the Simple PSO that it can be base of solve complicated problem, the code could run by MATLAB.

this matlab code about testing ofdm

最小均方误差等算法的MSE的计算,关于非线性离散系统辨识，有信道编码，调制，信道估计等。( Minimum mean square error MSE calculation algorithm, Nonlinear discrete system identification, Channel coding, modulation, channel estimation.)

说明：  Estimating the positions of sensor nodes is a fundamental and crucial problem in ad hoc wireless sensor networks (WSNs). In this paper, an accurate node localization method for WSNs is devised based on the weighted least squares technique with the use of time-of-arrival measurements. Computer simulations are included to evaluate the performance of the proposed approach by comparing with the classical multidimensional scaling method and Cram´ er-Rao lower bound.

用Matlab写的一个LMS自适应均衡器(Using Matlab write an LMS adaptive equalizer)

说明：  利用matlab软件进行程序设计的时间序列模块的源程序工具箱。(Using matlab software programming time series toolbox source code module.)

Chapter 4. Interpolation and Polynomial Approximation Algorithm 4.1 Evaluation of a Taylor Series Algorithm 4.2 Polynomial Calculus Algorithm 4.3 Lagrange Approximation Algorithm 4.4 Nested Multiplication with Multiple Centers Algorithm 4.5 Newton Interpolation Polynomial Algorithm 4.6 Chebyshev Approximation

在科学与工程计算中，最小二乘法用来拟合数据，精度很高。(Scientific and Engineering Computing, the least squares method is used to fit the data to high precision.)

krusk算法的matlab，很好用~非常适合在图论中的应用~(the krusk algorithm matlab, very easy to use- very suitable for application in Graph Theory ~)

GM（1，1）源代码，计算原始数据的残差、关联度、小误差概率等。同时画出原始数据和预测数据对比图(GM (1,1) source code to calculate the raw data residuals, correlation, and so a small error probability. At the same time draw the raw data and forecast data comparison chart)