V-BLAST-simulation

雨流计数法，采用时间轴转成竖直向下，然后依据下雨流水的模式计算各极值，形成局部循环(Rain-flow counting method, using the timeline into a vertically downward, and then based on the pattern of rain water each extremal form a partial circle)

说明：  matlab可转债定价程序,可以用来对可转债进行定价(matlab for convertible bond pricing model)

在双轮平衡车中进行极点配置的Matlab仿真的实验(Matlab simulation of pole placement in a two wheeled balancing vehicle)

说明：  遗传算法，简单易懂。适合初学者使用，是分布式电源的选址定容的算法，做了相应的改进(Classical genetic algorithm is simple and easy to understand. It is suitable for beginners to use. It is an algorithm for locating and sizing distributed power.)

SIMULASI3.ZIP SIMULASI3 ALAGORITHM.............. 55

will compute haar features for five types of classifier.

一个遗传算法编的程序,大家看看吧.有人说不能用,但我用的很好.(a genetic algorithm of Procedure, we look at it. Some people say you can not use it, but I use very good.)

自适应信号 利用自适应信号分离器，可以有效的从白噪声中提取周期信号。现选取信号为正弦信号 ，宽带噪声信号为高斯白噪声，延迟D=50；收敛因子为 和 时的滤波效果。(Adaptive signal using adaptive signal separator, white noise can be effectively extracted from the periodic signal. Select the signal is sinusoidal signal, broadband noise signal is Gaussian white noise, the delay D = 50 convergence factor, and when the filtering effect.)

一套完整的雷达仿真程序，雷达的各个部分的完整仿真，(A complete set of radar simulation program, the radar part of the integrity of the various simulations,)

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. )