IEMhh_zheng

非下采样轮廓波变换MATLAB工具箱，包含DEMO(Nonsubsampled Contourlet transform MATLAB toolbox, including DEMO)

how to make a rotor rotate and calculate speed and plot it versus power

ofdm basic description

说明：   模拟退火算法求函数 f(x)的最小值点， 且 l <= x <= u f为待求函数，x0为初值点，l，u分别为搜索区间的上下限，kmax为最大迭代次数 q为退火因子，TolFun为函数容许误差 算法第一步根据输入变量数，将某些量设为缺省值( Simulated annealing algorithm of a function f (x) the minimum point, and l &lt = x &lt = u f is the unknown function, x0 as the initial point, l, u, respectively, lower and upper limits for the search interval, kmax is the maximum q iterations for the annealing factor, TolFun as a function of allowable error algorithm is the first step according to the number of input variables, set default values for certain amount of)

MATLAB source code: This function implements the *(int*)(&float_var).(MATLAB source code : This function implements the* (int*) ()

仿真程序，模拟SIR信息传播模型的CP过程。SIR模型是基于传染病动力学的信息传播模型。(The simulation program, CP SIR information dissemination process simulation model. SIR model is a model for the dissemination of information on the dynamics of infectious diseases.)

这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the covariance. You can use any method you like for finding the pseudo-inputs , with the simplest obviously being a random subset of the data. It is coded for Gaussian covariance function, but you could very easily alter this. It is also fine to use for high dimensional data sets. spgp_lik is the SPGP (negative) marginal likelihood and gradients with respect to pseudo-inputs and hyperparameters. So you can use this if you wish to try to optimize the positioning of pseudo-inputs and find good hyperparameters, before using spgp_pred . I would recommend initializing the pseudo-inputs on a random subset of the data, and initializing the hyperparameters sensibly. Its current limitations are that 1) it is slow and memory intensive for high dimensional data sets 2) it is heavi)

matlab源程序，通过拉普拉斯变换进行两幅图像的融合，融合效果好(matlab source, through the Laplace transform fusion of the two images, good fusion effect)

这是LibSvm 使用说明学习心得以及libsvm在MATLAB应用中的接口程序(This is a learning experience, as well as LibSvm instructions libsvm interface in the MATLAB application program)

针对光谱中的重叠，利用matlab进行高斯拆分，讲光谱分开，并计算量子效率(The quantum efficiency of computing Gaussian split)