matlab_for_gaosilvbo

这是一本有关MATLAB的参考书，适合于使用MATLAB或正在打算使用MATLAB的读者。本书另辟蹊径可以借助或不借助MATLAB随带的文档资料让读者自学MATLAB。 作为编程语言和可视化工具,MATLAB具有丰富的一系列功能,可解决工程、科学计算和数学学科中许多问题。本书的基本目的是通过向读者展示如何有效地使用这些功能来帮助读者增强工作能力。由于MATLAB交互式的性质,书中内容以举例方式来描述。在读者阅读本书的同时, 这些例子可以通过运行MATLAB而再现。 (This is a reference book on MATLAB, suitable for the use of MATLAB or is intended to use MATLAB readers. Another way this book can make use of, or without the aid of MATLAB documentation that came with the reader learning MATLAB. As a programming language and visualization tools, MATLAB has a rich range of functions, solve engineering, scientific computing and mathematics disciplines, many problems. The basic purpose of this book by showing the reader how to effectively use these features to help readers enhance the ability to work. Since MATLAB interactive nature of the book by way of example to describe the content. The reader to read this book at the same time, these examples by running the MATLAB and reproduction.)

This software may be used for non-commercial purposes only, so long as this copyright notice is reproduced with each such copy made. The software in this folder focuses on the computations associated with general type-2 FLSs.

mkL 多核学习，介绍的很详细，附有论文地址，包括所有相关的代码(mkL multicore study, described in great detail, with papers address, including all related code)

matlab程序，通滤波器的例子,详细的看，适合初学matlab和图形图像处理的例子(matlab procedures pass filter example, detailed view, suitable for beginners and graphics image processing matlab example)

helps in maximal ratio combining,equal gain combining,snr improvement,select diversity

一款简单的自适应阈值的MAYLAB代码，使用的时候需要更改图片的路径，阈值参数可以自行设置(A simple adaptive threshold MAYLAB code, when the need to change the image using the path, free to set the threshold parameter)

分为5个部分： 3.1 M文件 3.2 程序控制结构 3.3 函数文件 3.4 程序举例 3.5 程序调试(Divided into five parts: 3.1 M Document Control 3.2 Functions 3.3 Document Structure 3.4 program debugging program, for example 3.5)

基2FFT,是DFT(离散傅立叶变换)的快速算法(radix 2 FFT, DFT (Discrete Fourier Transform) Fast Algorithm)

说明：  S变换的源代码，实现对各种信号的频谱分析。该方法优越于短时傅里叶变换。(S transform source code, and the analysis of the spectrum of various signals. This method is superior to the short time Fourier transform.)

本程序基于一阶AR模型，u(n)=-0.99u(n-1)+v(n)的线性预测。白噪声v(n)方差0.995.FIR滤波器的抽头数为2.遗忘因子0.98.用RLS算法实现u(n)的线性预测。并附有仿真图片。。(This procedure is based on a first-order AR model, u (n) =-0.99u (n-1)+v (n) of the linear prediction. White noise v (n) the number of taps of the the variance 0.995.FIR filter 2. Forgetting factor 0.98. U (n) of the linear prediction using the RLS algorithm. With simulation Pictures. .)