step-function

本程序使用matlab仿真exprit算法并且可以通过前项平滑技术计算相关信号的方向 解决了exprit不能测相关信号方向的问题 （加入了每一步的注释简单易懂）(use f exprites shooming complete exprit)

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)

射频功率放大器的数学建模，采用saleh模型在matlab环境下进行代码编写(hebavioral model of RF amplifier)

Model predictive control book nice one

MATLAB 主要函数指令表 MATLAB 主要函数指令表(The main function of MATLAB MATLAB command table form the main function of instruction)

Orthogonal Frequency division Multiplexing Access model to simulating.

说明：  这是在论文中，用matlab中神经网络bp方法训练红外图像象素值和温度之间对应关系的程序(This the thesis, using Matlab neural network training method bp infrared image pixel and temperature relationships between the procedures )

Matlab tuxiangzengqiang

说明：  滤波反投影算法 迭代实现图像的重建算法 滤波反投影算法 迭代实现图像的重建算法(FBP algorithm FBP algorithm FBP algorithm FBP algorithm FBP algorithm FBP algorithm )

说明：  LDPC编码的matlab编程 很有参考价值(LDPC coding was useful matlab programming)