rsquare

经典的用matlab编写的ID3算法，仅供大家分享(classic with Matlab prepared by the ID3 algorithm, is for everyone to share!)

馬可夫鍊的MATLAB程式撰寫和過程 (Markov chains and processes the MATLAB programming)

说明：  偏最小二乘法中的交叉有效性计算的matlab程序，怎么计算出来的预测误差平方和PRESS不太对，偏大；()

channel estimation with stbc using matlab for communication students

利用基于粒子群算法的灰色模型对航空发电机进行状态趋势分析技术研究，所得到的分析结果平均相对误差为3.99 。此模型为粒子群优化算法对GM(1,1)模型的改进模型，因此称为基于粒子群优化算法的GM(1,1)模型。(Using aviation turbine gray model based on particle swarm optimization state trend analysis technology research, analysis the average relative error is 3.99 . This model for particle swarm optimization algorithm improved model GM (1,1) model, the so called GM (1,1) model based on particle swarm optimization algorithm.)

说明：  噪声中正弦信号的现代法频谱分析，基于MATLAB，实验报告一份(Sinusoidal signal in the noise spectrum of modern law, based on MATLAB, a lab report)

说明：  mvdr处理计算程序，非常好用适合与大家学习与掌握。

包括图像分析的四部分代码：matlab扩散和高斯函数，线性扩散，线性复扩散，非线性扩散。(It contains four parts： [1]MATLAB function:diffusion.m gauss.m [2]Linear diffusion Applying linear diffusion to images creating linear scale-space. MATLAB code: demo_lin.m Image: haifa1.bmp [3]Linear complex diffusion Applying linear complex diffusion creating Gaussian and Laplacian scale-spaces. MATLAB code: demo_cmplin.m [4]Nonlinear diffusions: Perona-Malik ["Anisotropic diffusion"] Catte et al. regularization of P-M Complex ramp-preserving diffusion Nonlinear edge preserving diffusions.The classical Perona-Malik process: the value of the diffusion coefficient is reduced near edges estimated by the first derivative. Best applied to step edges. A regularized version by Catte et al- the gradient estimation for controlling the process is smoothed by a Gaussian. Proved to be mathematically well-posed. Ramp preserving complex diffusion- best for ramp-type edges. Results are smoother with almost no staircasing effects. MATLAB code: demo_nldif.m Image: ct_scan.bmp)

说明：  根升余弦函数，主要用在调制时的成型时使用(Root raised cosine function, mainly used in modulation used at the time of molding)

code source pour compression d image sous matlab