One-dimensional-linear-load-stem

这里面有两个程序，两个都是采用4QAM调制。不过个人觉得第一个更容易懂，因为写的很有条理。我改的那个程序就是根据这个来的。 不过在这里面有个问题就是信道系数只能是由高到低，大家可以试试，改成[0.227 0.46 0.688 0.46 0.227]这个是老师给我的仿真中常用的信道系数，这个成为归一化信道，就是系数平方和为1. 第二个程序没有涉及到信道系数，但是这个程序当中，在128个子载波中，前后有32个空载波，这个在OFDM中也是经常用的，这样可以降低误码率。 (And there are two programs, two are based on 4QAM modulation. But personally feel that the first is easier, because the writing is organized. I changed that procedure is based on the past. However, there is a problem in that there is only channel coefficients from high to low, we can try and change into [0.227 0.46 0.688 0.46 0.227] This is the teacher gave me the simulation channel coefficient commonly used, this became normalized channel, is coefficient of the square and is 1. The second program is not related to channel coefficients, but this program which, in the 128 sub-carriers, the before and after the 32 air carriers, the in OFDM is also often used, which can reduce the error rate.)

说明：  精通MATLAB这本书的word般，该版只能用于学习，不能做为商业用途(Be well up in the word of book of MATLAB ,It s only for studying,cann t be for the business.)

说明：  MATLAB在六维腕力传感器系统标定中的应用，学习Matlab的好东西。(MATLAB in the six-axis wrist force sensor system calibration of the application, learning the good things Matlab.)

潮流计算C++程序，计算ieee4 5 14 30 57 118 300(Power Flow calculation program)

K-mean方法聚类 实现多幅图像的K均值方法的聚类并显示(K-mean clustering，Efficient method to achieve multiple images of the K-means clustering method and display)

完整的空间卫星轨道仿真程序以及空间卫星导航仿真程序。(Complete space orbit satellite navigation and space simulation program and simulation program.)

ricetest testing rice channel

对HARQ系统的吞吐量分析，主要为数据分析和统计，小波包分析提取振动信号中的特征频率。( HARQ throughput analysis of the system, Mainly for data analysis and statistics, Wavelet packet analysis to extract vibration signal characteristic frequency.)

说明：  最优化方法: 共轭方向法 matlab源代码 需要改变原函数及其梯度(Optimization: Conjugate Method need to change the original function and its gradient)

icaam, G. Papandreou and P. Maragos, Adaptive and Constrained Algorithms for Inverse Compositional Active Appearance Model Fitting, Proc. IEEE Int l Conf. on Computer Vision and Pattern Recognition (CVPR-2008), Anchorage, AL, June 2008.