多用户检测器的性能

逻辑回归matlab编程实例，可在matlab7下运行(Logistic regression matlab programming examples)

code for watching matlab rbf neural net

说明：  计算并绘制直方图. 绘制直方图的方法有很多，在此我用MATTAB中的一些代表性的绘制选项，使用函数bar\imhist(use function "bar" )

基于遗传算法解决TSP问题，matlab，可以实现(Based on the genetic algorithm to solve TSP problem)

《最优化方法及其matlab程序设计》的源代码，包含很多经典的最优化算法(" Matlab optimization methods and procedures," the source code, including many classic optimization algorithms)

Black-Scholes 模型的跳跃过程需要matlab有统计工具包(Black-Scholes model with merton jumps, the code need to be ran based on Statistic toolbox)

首先,概述了太阳能光伏发电系统的组成,介绍了目前我国太阳能光伏发电技术的应用,并根据不同场合的需要,对太阳能光伏发电系统进行了分类。其次,分析了太阳能电池板的工作原理,利用州哄JLAB仿真软件对不同环境及 不同日照强度下的太阳能电池输出特性进行了建模!仿真结果证明了太阳能电池的非线性。再次,通过比较三种常用的DC/DC变换器的工作原理,提出利用BOOST型DqDC变换器实现转换,对参数进行分析后建立了BOOST型DC/DC变换器的仿真模型。最后,分析了最大功率点跟踪原理,比较了几种常用的最大功率点跟踪方法, 并在此基础上提出了一种新的扰动观察法,仿真结果表明了此方法的可行性。 (First, an overview of the composition of the solar photovoltaic power generation system, introduced the application of solar photovoltaic technology at present, and according to the needs of different occasions, for the solar photovoltaic system are classified. Secondly, the working principle of solar panels, the use of state coax JLAB simulation software for solar cell output characteristics of the different environments and under different sunlight intensity were modeled! Simulation results show that the nonlinear solar cells. Again, by comparing three common DC/DC converter works proposed use BOOST type DqDC converter to achieve the conversion, after the analysis of the parameters, the simulation model BOOST type DC/DC converter. Finally, the principle of maximum power point tracking, comparing several commonly used method for maximum power point tracking, and on this basis, we propose a new disturbance observation, simulation results show the feasibility of this method.)

NMF矩阵分解算法可用于高维数据分解和降维处理分析。(NMF matrix decomposition algorithm can be used for high-dimensional data decomposition and dimension reduction analysis.)

Generates the values in a Cumulative Match Characteristic (CMC) curve given a similarity matrix. For use in evaluation of biometric recognition systems (e.g. fingerprint, face, iris, etc.)

说明：  ：将信息论中熵的概念应用到特征选择中，定义了两种信息测度评价特征——误差熵和混叠熵，然后阐述了两种定义的不 用物理意义，分析了计算熵中最关键的区间划分问题，并提出一种较好的区间划分方法。(: The concept of entropy in information theory applied to feature selection, the definition of information measure evaluation of two features- error entropy and mixing entropy, and then describes the two definitions do not have the physical meaning of the calculation of entropy in the range of the most critical partitioning problem and propose a better method of interval division.)