Multiband_Kamath

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.)

说明：  有一个matlab 神经网络学习的例子，解压缩后可以直接运行(There is a matlab neural network learning examples can be run directly after decompression)

利用模拟退火算法改进的kmeans算法，可以实现分类也可以用来分割，matlab版本(Improved simulated annealing algorithm kmeans algorithm can also be used to classify segmentation, matlab version)

ldpc码的编解码实现，验证可用，针对EMD方法的不足。( Codec ldpc code implementation Verification is available, For lack of EMD.)

这是一个用于线性分类的支持向量机SVM的MATLAB实现。此代码利用简单的MATLAB内置函数实验了SVM，不依赖LIBSVM等工具箱，并且提供了一个例子，以供初学者一开始对SVM有一个简单了解。(This is a matlab code of support vector machine.Here the SVM is achieved with some common matlab function. It is for SVM beginner. )

四个光孤子的独立波解同时存在于一个方程中。这里是在MATLAB中的编程。(The independence of the four soliton wave solutions exist in a equation. Here is the programming in MATLAB.)

Tank Level Control using PID

这是对Matlab Prony Toolbox 的详细的英文版使用说明，长达121页。里面包括了该工具箱的demos和使用方法。(This is a detailed description of Prony toolbox based on Matlab. And it includes the using methods for all the examples or demos)

matlab编程的一些例子，仅供初学者参考(matlab programming examples for beginners reference)

matlab的fopen函数用法和 matlab中fopen函数在指定文件打开的实例(The fopen function matlab and matlab in the use fopen function to open an instance of the specified file)