plsr

自适应lms仿真 MATLAB程序 仿真计算统计误差 (MATLAB Simulation of Adaptive LMS process simulation statistical error)

说明：  交互多模型算法，用于目标跟踪等，是目前比较理想的算法之一(Interacting multiple model algorithm)

基本最小二乘估计递推算法matlab实现及绘图，以及生成M序列(Basic recursive least squares estimation algorithm and M series)

1.median_filter (功能:使用中值濾波器去除雜訊) 2.mean_filter (功能:使用平均濾波器去除雜訊) 3.fl_stein (功能:使用誤差擴散法,將影像量化和混色) 4.Central_limit (功能:畫圖並證明中央極限定理) (1.median_filter (function: use median filter to remove noise) 2.mean_filter (function: using the average filter to remove noise) 3.fl_stein (function: using the error diffusion method, the image quantification and blending) 4. Central_limit (function: drawing and prove the central limit theorem))

对阵列信号进行维数的压缩，并用music算法估计出原始信号的DOA。(Array signal compression dimension, and estimate the DOA music algorithm with the original signal.)

用clean方法进行现代谱分析实验，经过运行程序，结果有效，算法简单。(Methods with clean modern spectral analysis of experiments, after running the program, the results are valid, the algorithm simple.)

本matlab函数，利用混沌映射不可预测性，遍历性和敏感性，以它们的参数和初始值的优异特性的，实现一个图像加密算法。我们引入了一个新的二维logistics函数。与现有的混沌映射相比，它具有更广泛的范围内混乱，更好的遍历性，混沌性和relativelylow实施成本。为了研究及其应用，我们提出了一个之乱转换（CMT），以有效地改变图像的像素位置。结合2D-logistics与CMT，我们进一步实现图像加密算法。(In this matlab test,we use the chastic s excellent properties of unpredictability, ergodicity and sensitivity to their parameters and initial values, chaotic maps are widely used in security applications. In this paper, we introduce a new two-dimensional Sine Logistic modulation map (2D-SLMM) which is derived the Logistic and Sine maps. Compared with existing chaotic maps,it has the wider chaotic range, better ergodicity, hyperchaotic property and relativelylow implementation cost. To investigate its applications, we propose a chaotic magic trans-form (CMT) to efficiently change the image pixel positions. Combining 2D-SLMM with CMT, we further introduce a new image encryption algorithm. )

Stochastic fields Generation. created by LHS. Correlation is based on Cholesky factorization

Matlab 有限元分析 LTQN 很少见FDTD MOM(Matlab finite element analysis LTQN rare)

etude de la dispersion d une onde