理论深度基准面计算

电子通信系统的建模与仿真 第9章 天线及智能天线仿真 9.1 全向天线的波束下倾 9.2 天线阵的波达方向估计 9.3 天线阵的波束形成?(Electronic communications system modeling and simulation of Chapter 9 of the antenna and smart antenna simulation 9.1 omnidirectional antenna beam antenna array under the dump 9.2 Direction of Arrival Estimation 9.3 Antenna Array Beamforming ?)

code for AES to to encrypt data

an article about red eye detection

An algorithm to find a sub array maximum.

程序尚不完善，固定提取了3个主成分，没有做寻求最佳主成分个数；没有做交叉有效性检验 (good)

WALKER Human gait. This model, developed by Nikolaus Troje, is a five-term Fourier series with vector-valued coefficients that are the principal components for data obtained in motion capture experiments involving subjects wearing reflective markers walking on a treadmill. The components, which are also known as "postures" or "eigenwalkers", correspond to the static position, forward motion, sideways sway, and two hopping/bouncing movements that differ in the phase relationship between the upper and lower portions of the body. The postures are also classified by gender. Sliders allow you to vary the amount that each component contributes to the overall motion. A slider setting greater than 1.0 overemphasizes the characteristic. Can you see whether positive values of the gender coefficient correspond to male or female subjects?

Matlab introduction file

完整的数学建模方法,数据.信息技术安全系统的风险评估问题(Complete method of mathematical modeling, data. Information technology security risk assessment system)

使用Matlab实现，包括一维特征最小错误率bayes分类器；二维特征最小错误率bayes分类器；二维特征最小风险bayes分类器以及使用的数据集合。(Using the Matlab implementation, including the minimum error rate of one-dimensional characteristics of bayes classifier two-dimensional characteristics of the minimum error rate bayes classifier two-dimensional characteristics of the minimum risk bayes classifier and the use of data collection.)

Reliable authorization and authentication are becoming necessary for many everyday applications such as boarding an aircraft, performing financial transaction, logging to a secure system etc. Identity verification becomes a challenging task when it has to be automated with high accuracy and with low probability of break-ins and low rates of false match. Moreover, person verification is not a new problem and society had created three traditional modes of designation: 1. Possessions: Physical possessions such as keys, passports and smart cards. 2. Knowledge: Pieces of information those are secret and known only to the right person such as PIN, passwords, user names etc. 3. Biometrics: Physiological and behavioral characteristics of individuals that distinguish one person from the others. These characteristics are different in each person.