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简单的贝叶斯分类器的Matlab实现，并提供了三个实例(Simple Bias classifier Matlab implementation, and provides three examples)

故障诊断方面的一篇文章，发表在Automatica上，具有很大的参考意义。(Fault diagnosis of an article published in Automatica, and has great reference value.)

matlab编写的优化程序，可作为内置程序直接调用，主要用于求解最大最小值。内含示例(Optimization of programs written in matlab, can be called directly as a built-in program, mainly for solving the maximum and minimum values. Contains examples)

考虑雨衰 阴影 和多径影响，使用拉亚普诺夫指数的公式，抑制载波型差分相位调制。( Consider shadow rain attenuation and multipath effects Raya Punuo Fu index using the formula, Suppressed carrier type differential phase modulation.)

本文在分析移动无线信道衰落特性的基础上,阐述了OFDM系统的基本原理,主要研究了OFDM通信系统中的基于导频符号的信道估计问题,分析了几种经典的信道估计算法以及相关的关键技术环节。 在此基础上介绍了OFDM技术在现实中的一个应用——WLAN IEEE802.11a系统模型,利用Matlab仿真软件完成OFDM系统信号生成、噪声生成、导频插入、循环前缀、调制、解调等部分的设计,最后结合计算机仿真对系统关键技术(导频、循环前缀、估计算法)的有效性和可行性进行了全面的分析与比较。适合matlab研究(Based on the analysis of mobile channel fading characteristics based on the OFDM system on the basic principles of research in the OFDM communication system of the pilot symbols based on channel estimation problem, an analysis of several classical channel estimation algorithm and the associated key technical links. On this basis, introduced OFDM technology in a practical application- WLAN IEEE802.11a system model, using Matlab simulation software to complete OFDM signal generation, noise generation, pilot insertion, cyclic prefix, modulation, demodulation and other parts of the design, the final combination of computer simulation of the system of key technologies (pilots, cyclic prefix, it is estimated that algorithm) the effectiveness and feasibility of a comprehensive analysis and comparison. Suitable for research matlab)

用几种函数实现傅里叶变换，变换后可输出图形(With several functions for Fourier transform, transform graphics output)

image processing: edge_detection

输入两幅图像，利用已经过修正的数值计算其PSNR值，经修正的指数值(input 2 pictures and culculate the PSNR of them (The correct one))

matlab lms nlms 变步长自适应 波束形成(matlab lms nlms variable step adaptive beamforming)

Adaptive Gradient-Based Methods for Adaptive Power Allocation in OFDM-Based Cognitive Radio Networks. IT IS THE RECENT PAPER IN COGNITIVE RADIO NETWORKS