weibull

1、HSDPA； 2、LTE； 3、turbo code； 4、Mobile WiMAX； 5、LDPC(CML 1.10)

无线传感器网络仿真LEACH协议，希望有人能改进下(Wireless sensor network simulation LEACH protocal, under the hope that someone can improve)

三项锁相环：利用park变换和clark变换，将三相电网电压，变换为两相旋转坐标系下的电压。同时跟踪A相电压的相位角(Three phase-locked loop: the use of park conversion and clark transformation, the three-phase voltage, transformed into two-phase rotating coordinate system voltage. While tracking the phase angle of phase A voltage)

matlab数学原程序，自编，用于函数调用：高斯消元法(matlab gauss-xiaoyuanfa)

The demand of high data rate services has been increasing very rapidly and there is no slowdown in sight. We know that the data transmission includes both wired and wireless medium. Often, these services require very reliable data transmission over very harsh environment. Most of these transmission systems experience much degradation such as large attenuation, noise, multipath, interference, time variance, nonlinearities and must meet the finite constraints like power limitation and cost factor. One physical layer technique that has gained a lot of popularities due to its robustness in dealing with these impairments is multi-carrier modulation technique. In multi-carrier modulation, the most commonly used technique is Orthogonal Frequency Division Multiplexing (OFDM)

调制是通信中比较重要的技术，对CPM（连续相位调制）用MATLAB进行实现(Modulation is more important communications technology, CPM (continuous phase modulation) to achieve with MATLAB)

％File: c9_estimatepi.m ％有5个pi的估计，每一个都是基于500次重复随机试验，所得的pi的五个估计值用以下向量表示 ％pi的估计值=[3.0960 3.0720 2.9920 3.1600 3.0480] ％如果对5个结果进平均，则pi的估计值=3.0736,这样的结果等价于2500次的试验结果。( File: c9_estimatepi.m have 5 pi estimates are based on a randomized trial to repeat 500 times the income of the five estimated value of pi with the following vector, said the estimated value of pi = [3.0960 3.0720 2.9920 3.1600 3.0480] if the results into an average of 5, then the estimated value of pi = 3.0736, so the result is equivalent to 2500 times the test results.)

MATLAB CODE FOR EDGE PRESERVING

matlab code for SPLINEFIT

本代码主要提供了在频域使用fastica进行盲源分离，并且解决了频域的排列和增益两个歧义性问题。(This code mainly provides the use of fastica in the frequency domain for blind source separation, and solves the frequency domain arrangement and gain of two ambiguity problems.)