Markov_chain

利用matlab平台，使用蒙特卡洛的方法模拟赌徒问题(Using matlab platform, the use of Monte Carlo simulation problem gamblers)

比特加载技术相关算法，包含Fischer算法，贪婪算法以及chow算法。(bit loading algorithm, include Hughes-Hartogs Algorithm, Fischer Algorithm and chow algorithm)

电流电压双闭环的PI单相逆变器仿真，自己做的，请指教(Double closed loop PI current and voltage single)

kriging（克里金）插值方法，参照2011年国赛建模A题前两问。(kriging (kriging) interpolation method, with reference to 2011 model A country race before the two asked questions.)

完全图哈密尔顿圈的遗传模拟退火算法matlab通用源程序(Complete graph Hamiltonian cycle common genetic simulated annealing algorithm matlab source)

介绍卡尔曼kalman滤波器原理的书籍，可以由此衍生出后来的相关性质(Introduced the principle of Kalman filter kalman and books, which was derived from the related properties)

通过matlab代码，双向PCS控制仿真，DC-DC部分采用lyeCxId定功率单环控制，DC-AC采用Udc-Q解耦控制，系统直流电压由后级DC-AC实现稳定控制，UWvKaVx参数合适(Through the matlab code, two-way PCS control simulation, DC-DC part of the lyeCxId fixed power control, Udc-Q using DC-AC decoupling control, the system DC voltage the rear stage DC-AC to achieve stable control, UWvKaVx parameters suitable)

汉明码编码与matlab仿真代码的源代码程序 分别有编码和解码程序(HAMMING CODE simulink)

一个自己编的稀疏表示分类程序（SRC），以帮助了解SRC的原理和算法。(A self sparse representation classification (SRC) program, to help understand the principles and algorithms of the SRC.)

考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。(consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power)