PRN-code

熟悉非高斯色噪声的产生过程，并对其进行参数估计。 产生一高斯噪声，让其通过一线性系统，再得到符合需要的对数正态分布。 (Familiar with the process of non-Gaussian colored noise generated, and estimated its parameters. Generate a Gaussian noise, so that the linear system to meet the needs of the lognormal distribution.)

对OFDM系统的仿真分析，对于初接触通信系统的朋友，会有所帮助，进一步了解ofdm。(OFDM system simulation and analysis，for who early contact with communication systems will help to better understand the ofdm。)

对原始信号进行四相相移键控调制，然后加入高斯白噪声，对加噪信号进行解调，对比解调信号与原始信号，计算误码率(The original signal quadrature phase shift keying modulation, and then adding Gaussian white noise, plus noise signal is demodulated, comparing the demodulated signal with the original signal, bit error rate calculation)

说明：  基于模型聚类算法的matlab实现 This does the entire MB Clustering given a set of data. It only does the 4 basic models, unequal-unknown priors. It returns the BESTMODEL based on the highest BIC.(model-based clustering algorithm to achieve the Matlab This does the entire MB Clustering given a set of data. It only does the 4 basic models, unequal-unknown priors. It returns the BESTMO DEL based on the highest BIC.)

牛人自己编写的基于morlet小波的连续小波变换，可以修改其中参数，但是输出与matlab自带的函数有出入，在修正中。(Prepared by the cattle themselves morlet wavelet continuous wavelet transform, where the parameters can be modified, but the output function that comes with matlab discrepancy in the amendment.)

针对单级多资源约束生产批量计划问题,提出了基于量子粒子群算法求解该问题的方法。此算法将量子强大的领域搜索能力和基本粒子群算法(PSO)通过跟踪极值更新粒子的功能(On a single stage production lot-sizing problem of resource constraints, based on quantum particle swarm algorithm is proposed to solve the problem.The algorithm to the field of quantum powerful search ability and basic particle swarm optimization (PSO) through the tracking function of extremum updating particles)

非线性方程组的解法，三个方程式三个未知量，利用matlab来求解(Solution of nonlinear equations, three equations for three unknown quantities, can be solved by using matlab )

其实popupwindow用起来比Dialog 方便，因为dialog一切都需要你自己来实现，而popupwindow帮我们实现了很多，我认为在使用的时候关键我们要看清参数： popupWindow.showAtLocation(parent, gravity, x, y) parent这个是一个父view试图， gravity 这个默认是居中，我们要指定显示方式：Gravity.LEFT | Gravity.TOP 最后两个参数就是显示的坐标位置，这样就可以根据需求自己定位显示位置了

2d logistic regression demo

说明：  战胜MATLAB的50道经典习题，MATLAB最主要的就是练，希望对大家有用。(The 50 classic victory over MATLAB Exercises, MATLAB is the most important practice and hope for all of us.)