Adaptive-Filtering-Primer-with-MATLAB---Poularika

通过编写该程序，实现图像的动态分形处理及仿真。(Through the preparation of the program, the image of the dynamic fractal processing and simulation.)

非线性MPC问题求解,简单但是基本的例子(to solve the NMPC problem)

强化学习算法的MATLAB仿真实例，希望能够对大家有帮助.(Q-learning algorithm of MATLAB simulation examples，wish it can help you.)

matlab图像处理实例详解第三章源码程序，推荐大家一起学习，很好很实用。(Detailed examples matlab image processing Chapter III source program, recommend everyone to learn, very very useful.)

Rake receiver in uwb 802.15.3a

说明：  关于dark channel在去雾算法应用的方法介绍(the introduction of the use of dark channel in dehaze algorithm)

percentage of occupancy in Hit or miss trnasform For Noisy Image Segmentation

GUI系统设计中，用于函数回调，即对句柄图形图像设置一些时间响应函数。(GUI system design for function callbacks that handle graphic images of the response function to set some time.)

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

Save the image in several formats and calculate their mean square error