kalmanf.m

利用Matlab实现的有限差分方法，这是一个m文件下载即可使用。(A simple code for finite difference method)

模拟行人在六角形基站中行走时，通信信号的强弱，各个基站对他的干扰(Analog pedestrians walking in the hexagonal base station communication signal strength, interference of each base station)

层析分析法模型，能实现评价权重的确定，并进行一致性检验(AHP-Analytic Hierarchy Process)

we can obtain the symbol error rate of space time block code using the modulation technique of Quadrature-Phase shift keying

遗传算法应用举例，在使用时可根据具体情况做修改(Application examples of genetic algorithm, when used according to the specific circumstances to make changes)

这是简易的FSK信号调制，把文件放入matlab的文件库中，通过在matlab的命令窗口直接调用功能函数并运行，可以直接看到仿真结果。(This is a simple FSK signal modulation, the file into Matlab file library, call function directly in the Matlab command window and run the simulation results can be seen directly.)

说明：  加性噪声以及jakes信道模型的代码，对新手可以起作用。(Additive noise and the code of the jakes channel model can play a role for novices.)

基于小波分析和主成分分析的人脸识别研究随着社会的发展，社会各个方面对快速有效的身份验证的要求日益迫切。由 于生物特征是人的内在属性，具有很强的自身稳定性和个体差异性，因此是身份 验证的理想依据。其中利用人脸特征又是最自然直接的手段，相比其他生物特征， 它具有直接、友好、方便的特点，易于为用户接受。从而，人脸识别吸引了越来 越多来自计算机视觉和信号处理等领域的关注，成为模式识别、图像处理等学科 的研究热点。(Based on wavelet analysis and principal component analysis of the Face Recognition With the social development of all aspects of society in his capacity as quickly and efficiently verify the requirements of increasingly urgent. Biological characteristics as a result of the inherent human attribute, has a strong individual differences in their stability and, therefore, is an ideal basis for authentication. The use of facial features which is the most natural means of direct, compared with other biological characteristics, it has a direct, friendly, convenient and easy for users to accept. Thus, face recognition has attracted more and more from the computer vision and signal processing and other areas of concern, as a pattern recognition, image processing, such as the research subjects.)

本文主要讲的是图像变化中所使用的小波变换的一些基本知识(This article is primarily concerned with changing the image used in some of the basics of wavelet transform)

this code about optimization