Stochastic_Bosque

文件是编辑好的m文件，在matlab环境下，放在根目录下可以直接调用，有稳定性的判据，和校正环节的整定等等。(functions)

LMS另一种写法，亲自验证，用来滤波，自适应滤波的一种(LMS another way, personally verified, used to filter, an adaptive filter)

创新性的使用烟雾粒子浓度，来探测火灾，基于图像处理(Innovative use of smoke particle concentration, to detect fires, based on image processing)

基于morphing论文利用matlab工具编写的一个简单的morphing技术实现的代码，可以下载看一下！(Paper-based morphing tool using matlab prepared a simple morphing technology to achieve the code, you can download a look!)

Scheduling scheme for MIMO downlink

图像处理，集合了图像处理的各种方面的信息，可以实现读取，增强，去噪，复原等功能。(Image processing, collection of information on various aspects of image processing, can achieve to read, enhance, de-noising, recovery and other functions.)

包括内插，还有成形滤波器等等调制时所用的matlab文件(Including interpolation, as well as shaping filter modulation, etc. used by the matlab file)

matlab编写的MIMLBoosting算法，其中包括实现算法的函数，还有可作为示例的数据和主程序，可以运行，可以对多示例多标记样本进行分类，并计算正确率等多个指标。(MIMLBoosting algorithm matlab prepared, including the implementation of the function of the algorithm, as well as examples of data and the main program, you can run, you can multi-instance multi-label classification of samples and calculate the number of indicators, such as the correct rate.)

一个集结了多种图像融合方法的程序，有GUI界面，使用非常方便，其中包含的图像融合程序有PCA,拉普拉斯算子，形态学金字塔，对比度金字塔，小波等等。主程序是fusetool.(The code intergrates several image fusion function,including PCA,LAP,CONTRAST,DWT and so on.The code has an interface,which maks it user-friendly.The main program is fusetool.)

This book is intended for anyone trying to learn the fundamentals of computer programming. The chapters lead the reader through the various steps required for writing a program, introducing the MATLABr constructs in the process. MATLABr is used to teach programming because it has a simple programming environment. It has a low initial overhead which allows the novice programmer to begin programming immediately and allows the users to easily debug their programs. This is especially useful for people who have a “mental block” about computers. Although MATLABr is a high-level language and interactive environment that enables the user to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran, the author shows that it can also be used as a programming learning tool for novices. There are a number of exercises at the end of each chapter which should help the users become comfortable with the language.