fig2pdf

两种算法（LMS和RLS）实现CDMA系统盲多用户检测的仿真。结论验证了在加性高斯白招生信道下、同步DS-CDMA系统中接收机应用这两种盲多用户检测算法抑制多址干扰（MAI: multiple access interference）和码间串扰（ISI: inter symbol interference）的能力,仿真实验与理论推导相吻合。实验与理论都表明,RLS性能好于LMS，而LMS计算量明显小于RLS。(This paper discusses two algorithms (LMS and RLS) to achieve blind multiuser detection CDMA system simulation. Conclusion is verified in the Additive White Gaussian noise channel, the synchronous DS-CDMA system receiver applications both blind multiuser detection algorithm to suppress Multiple Access Interference（MAI）and Inter Symbol Interference (ISI) the ability of simulation is consistent with the theoretical. Both experiment and theory show that, RLS’s Performance is better than LMS, and the LMS ‘s computation was significantly less than RLS. )

1．本程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数 2．演示程序以用户和计算机的对话方式执行，即在计算机终端上显示“提示信息”之后，由用户在键盘上输入演示程序中规定的命令；相应的输入数据和运算结果显示在其后。 3．测试数据 输入初始变量后用y=100*(x1*x1-x2)*(x1*x2-x2)+(1-x1)*(1-x1)其中-2.048<=x1,x2<=2.048作适应度函数求最大适应度即为函数的最大值 (1. This program demonstrates a simple genetic algorithm is a random population, then according to the crossover rate and mutation rate, fitness for calculating the maximum number of generations in which algebra 2. Demo program to computer users and the implementation of dialogue, that is displayed on a computer terminal " message" after the keyboard input by the user specified in the order demo program the corresponding input data and results in a subsequent operation. 3. Test data input with the initial variables y = 100* (x1* x1-x2)* (x1* x2-x2)+ (1-x1)* (1-x1) where-2.048 < = x1, x2 < = 2.048 ask for the maximum fitness function is the function of the maximum fitness)

PFC电路仿真，分析器各个工作模态和各种关键波形(PFCModal, and a variety of key waveforms of the PFC circuit simulation, analyzer work)

matlab中最小二乘法拟合程序，很有用并且很简单的拟合程序(zxecf)

scaling, transfering and rotating the cube

This code has been prepared for earning Radar Cross Section of cylindrical PEC objects.

digital signal processing常用工具箱(commonly used digital signal processing toolbox)

The zip-file contains the following files for visualizing distributions: - distributionPlot.m: main function that allows creating violin plots - histogram.m: generate histograms with ideal bin width given the number of data points and the spread (Freedman-Diaconis rule). Note that for integer-valued data, each integer gets its own bin. - plotSpread.m: plot point clouds with no overlap. Works well for small number of data points, i.e. when there are less than ~20 values per bin.

ofdm系统中功率自适应分配算法研究的matlab源代码（k＝20）(ofdm Power System Adaptive Algorithm for the distribution of the source code Matlab (k = 20))

Complex Exponential Method for extracting modal properties of a structure.