yuanzhen

this is matlab program for showing the result of quasi ostbc

Matlab 复杂网络工具包，对复杂网络的研究有很大的重要性。(Matlab complex network toolkit for complex network research has great importance.)

为充分发挥MATLAB和JAVA的优势，提出基于两者的混合编程技术。混合编程的关键是数据传输问题，在此采用接口技术。研究了MATLAB和JAVA在本地环境和网络环境下的混合编程方法，通过多个实例说明两者混合编程的过程和步骤(To bring into full play the advantages of MATLAB and JAVA, both based on a mixture of programming. Mixed programming, the key is the issue of data transmission in the use of interface technology. MATLAB and JAVA studied in the local environment and network environment of mixed programming, through a number of examples of mixing the two programming steps of the process and)

这个是在matlab环境下的一个数学手册，详细讲解了在matlab下是怎么样对一个数据的表示和操作。(This is in the on the a mathematical under the the Manual in in the matlab environment, explain in detail the the under in the matlab is the how-like on the the the the of the said that and operation of of the a data-.)

通信原理时域均衡部分的五抽头迫零均衡器，很有用(Five tap the communication domain equalization principle part of zero-forcing equalizer, useful)

上传了关于解模糊的基本程序，如中国余数定理，余差法等等(From vague on the solutions of the basic procedures, such as the Chinese remainder theorem, and so on more than bad law)

贝叶斯公式在临床中的应用是利用贝叶斯公式根据验前概率和条件概率来推算验后概率, 进而帮助诊断患者到底患种疾病中的哪一种。具体方法是根据以往积累统计资料, 对种疾病的验前概率人及各种条件概率人进行估算。在诸症状的一种具体组合已经出现的条件下, 按贝叶斯公式计算出各种疾病在这种具体症状组合下发生的概率即验后概率。比较各疾病的验后概率。如果某疾病人的验后概率明显大于其它疾病的验后概率, 便可诊断患者患的哪种疾病。(According to mass statistical results, try to work out the probability of 4 diseases and the class-conditional probability()

This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension. Before getting to a description of PCA, this tutorial first introduces mathematical concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors and eigenvalues. This background knowledge is meant to make the PCA section very straightforward, but can be skipped if the concepts are already familiar.

交叠最小干扰对齐算法，多用户干扰消除，有关求取最大特征值(The minimum overlap interference alignment algorithm, multi-user interference cancellation, related to strike the largest eigenvalues)

用matlab编写的车牌识别程序，已经调试过了(Written by matlab license plate recognition program, has been the commissioning)