SNA

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.)

此程序为BPSK matlab仿真源代码，如有需要请谨慎下载(This program is BPSK matlab simulation source code, if necessary, download with caution)

reciver block diagram on matlab

The code accompanying Understanding and Implementing the Finite Element Method by Mark S. Gockenbach (SIAM, 2006)(is contained in four directories: 1. version1: linear Lagrange triangles 2. version2: Lagrange triangles of arbitrary degree 3. version3: isoparametric elements of arbitrary degree 4. adaptive: local refinement, a posteriori error estimates, etc.)

matlab source code for implementing watermarking techniques.

说明：  this program used to detect skin in image and this is the main code that is use to detect any presence of human.

基于粒子滤波，实现海面船只控制，滤除波动干扰，含建模和仿真，包括主程序和子程序(sea boat tracking and control based on PF)

说明：  对使用matlab编程的基础知识做了详尽的介绍。(Matlab on the use of basic knowledge of programming to do the detail.)

In this paper, we consider a coded cooperation diversity scheme that is suitable for L-relay channels that operate in the decode–forward mode. The proposed scheme is based on convolutional coding, where each codeword of the source node is partitioned into two frames that are transmitted in two phases.

Formats tracker data as KML output.