matlabproject

欢迎下载，MATLAB求函数极小值的程序(Welcome to download, MATLAB function for the minimum procedures)

经典论文PDF“Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model”及其工具箱，对学习K-SVD很有帮助(Classic paper PDF " Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model" and its toolbox, useful for learning K-SVD)

>********************************************************************* >This program works with "capacity_plot_main.m" file.Figs >2.6,2.7,2.9,2.12 are determined using this program >SNR is signal-to-noise ratio in dBs >M -> number of antennas (M x M) system >corr -> 1 if with correlation, 0 if uncorrelated (for a 2x2 system only) >value -> correlation coefficient value from 0 ->1 >XPD -> 1 if antenna XPD is to be investigated, 0 if not (for a 2x2 system >only) >alpha -> XPD value >output -> defined by erg and out for ergodic capacity or outage >capacity respectively (>********************************************************************* >This program works with "capacity_plot_main.m" file.Figs >2.6,2.7,2.9,2.12 are determined using this program >SNR is signal-to-noise ratio in dBs >M-> number of antennas (M x M) system >corr-> 1 if with correlation, 0 if uncorrelated (for a 2x2 system only) >value-> correlation coefficient value from 0->1 >XPD-> 1 if antenna XPD is to be investigated, 0 if not (for a 2x2 system >only) >alpha-> XPD value >output-> defined by erg and out for ergodic capacity or outage >capacity respectively )

path planning for robot

离散正交多项式拟合例子，可自定义离散正交多项式次数。附有简单清晰的说明。(Examples of discrete orthogonal polynomial fitting)

基于I-divergence距离的KNN改进算法源代码(Based on the I- divergence of the KNN distance to improve the code)

产生1D或者2D高斯分布的粗糙表面的matlab程序(generation rough surface)

一个关于海林隶属度函数求解的仿真程序，是初学者入门，学习该方法的一个很好的例程。(A simulation program of hering membership functions to solve is the introduction to beginners, learning a good example of this method.)

小车位移的模拟仿真实验.其中pidoff.mdl 为无pid的时候小车的位移仿真曲线 pidon.mdl 为有pid的时候小车的位移仿真曲线(Trolley displacement simulation experiment)

perturb and observe tracking algorithm