MRAR

1、掌握用MATLAB计算拉格朗日、分段线性、三次样条三种插值的方法，改变节点的数目，对三种插值结果进行初步分析。 2、掌握用MATLAB作线性最小二乘的方法。 3、通过实例学习如何用插值方法与拟合方法解决实际问题，注意二者的联系和区别。(1. Grasp by matlab calculating Lagrange, segement linear, 3rd order spline these 3 interpolation method. Analisize the 3 interpolation results by changing the No. of points. 2. Grasp the method of linear minimun 2 product mehtod using matlab. 3. Solve the practical problems though the study of example of how to use interpolation and fitting method. Pay attention to the relation and difference of the 2 methods.)

2fsk的调制与解调，matlab编写，绝对正确。(2fsk modulation and demodulation, matlab prepared, absolutely correct.)

说明：  本程序为基于译码转发的协同通信仿真程序，能够绘制出信噪比和误码率的关系曲线(This procedure is based on collaborative communication decoding forward simulation program, one can draw the signal to noise ratio and bit error rate curve)

将模糊控制和普通PID相结合，自适应模糊PID控制效果明显优于普通PID控制，绝对正确，下载就能用(PID fuzzy control and the general combination of adaptive fuzzy PID control is better than normal PID control, absolutely right, you can use to download)

isotopic linear non-dispersive material,absorbed boundary conditions, time step size dt is calculated. TF/SF region with one direction incident wave. Fourior Transformation and Reflectance and Transmittance

说明：  分变模态分解（Variational Mode Decomposition，VMD）是一种具有坚实数学基础的分解算法，能够通过建立约束变分模型表达式，将信号以非递归的方式自适应地分解为若干本征模态分量(Variational Mode Decomposition is a decomposition algorithm with solid mathematical foundation. It can adaptively decompose signals into eigenmodes in a non-recursive manner by establishing constrained variational model expressions.)

hi i hav uploaded 5 matlab codes.So please activate my account

Find indexes neighbors

包括脚本文件和函数文件形式，包括AHP，因子分析，回归分析，聚类分析，到达过程是的泊松过程，欢迎大家下载学习，粒子图像分割及匹配均为自行编制的子例程，最小均方误差（MMSE）的算法，基于负熵最大的独立分量分析，用于特征降维，特征融合，相关分析等。( Including script files and function files in the form, Including AHP, factor analysis, regression analysis, cluster analysis, Arrival process is a Poisson process, Welcome to download the study, Particle image segmentation and matching subroutines themselves are prepared, Minimum mean square error (MMSE) algorithm, Based on negative entropy largest independent component analysis, For feature reduction, feature fusion, correlation analysis.)

分水岭算法，共三个算法的比较，可直接运行，供大家参考，希望有用！(Watershed algorithm, three algorithms were compared, can be run directly for your reference, hope useful!)