PCA-analysis

在Matlab环境下运行,读取任意目录下的文件名和目录名(In Matlab Environment, run it.It can read and output name of directory and file under any path)

calculate mean filter for images in matlab

简化的AUV的6自由度运动仿真程序，使用龙哥库塔法。(a simplified auv model,a matlab example)

Matlab环境下使用霍夫变换在二值图像上检测圆形的代码(Function uses Standard Hough Transform to detect circles in a binary image.)

enhanced mapping algorith for loclaization and mapping problem

正交频分复用的papr仿真，在MATLAB环境下，m语言实现。(Orthogonal Frequency Division Multiplexing papr of simulation, in the MATLAB environment, m language.)

说明：  《matlab小波分析》第6章的例题的源代码！(&quot Matlab wavelet analysis,&quot Chapter 6 example source code!)

数值计算方法的一些题，应用matlab编程，大家快下(numerical calculation method that the application Matlab programming, we quickly under)

自适应主动频率偏移孤岛检测新方法--光伏控制技术(Adaptive Active frequency offset islanding detection of a new method)

RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。该代码是求解RPCA的一种数值算法——Exact ALM（Exact Augmented Lagrange Multiplier）(The most basic form of the exact ALM function is [A, E] = exact_alm_rpca(D, λ), and that of the inexact ALM function is [A, E] = inexact_alm_rpca(D, λ), where D is a real matrix and λ is a positive real number. We solve the RPCA problem using the method of augmented Lagrange multipliers. The method converges Q-linearly to the optimal solution. The exact ALM algorithm is simple to implement, each iteration involves computing a partial SVD of a matrix the size of D, and converges to the true solution in a small number of iterations. The algorithm can be further speeded up by using a fast continuation technique, thereby yielding the inexact ALM algorithm.)