paper2

说明：  常用的PID控制结合了智能的神经网络算法。给出matlab仿真程序。(PID control combines the commonly used intelligent neural network algorithm. Matlab simulation program is given.)

MATLAB语言编写的程序，生成对应可执行文件exe的方法和介绍。(A program written in MATLAB to generate corresponding executable exe method and presentation.)

Pan-sharpening, fusion of panchromatic and multispectral image to produce sharpened multispectral image.

说明：  电子科技大学的一篇关于多传感器融合的好文章,请站长审阅(University of Electronic Science and Technology of multi-sensor fusion on a good article, please review head)

simulation BPSK on fading channel

卷积编码与Vitabi解码的Matlab程序(Matlab code for convolutional coding and Vitabi decoder.)

雷达信号处理,针对现代雷达信号处理的主要方式，运用数字信号处理理论和 Matlab 软件研究雷达信号处理的仿真 问题。提出了一个仿真模型，该模型可以仿真雷达信号、热噪声与杂波的产生和雷达系统中信号的动态处理 过程。用 Matlab 对某脉冲压缩雷达信号处理系统进行了仿真，得到了雷达系统中各个处理点上的具体信号形 式，既包含幅度信息，又包含相位信息，该模型能较好地满足对雷达信号处理的仿真要求，显示了用 Matlab 仿真雷达信号处理系统的方便、快捷的优点。 (Radar signal processing, radar signal processing for the modern major mode of use of digital signal processing theory and Matlab software simulation of the radar signal processing problems. Proposed a simulation model, the model can be simulation of radar signals, thermal noise and clutter of the radar system in the generation and dynamic signal processing. Using Matlab for a pulse compression radar signal processing system simulation, radar systems have been various points on the treatment of specific signal form contains both amplitude information, but also contains the phase information, the model can better meet the needs of radar signal processing simulation requirements, shows the Matlab simulation using radar signal processing system convenient, fast advantages.)

轴承外圈故障——利用小波变换检测轴承外环故障(Bearing outer ring failure- using wavelet transform outer bearing fault detection)

比较生存曲线可以用统计假设测试日志秩检验。它是用来测试的零假设，没有任何区别的人口的生存曲线（即概率事件发生在任何时间点是相同的每个人口）.这个函数使用卡普兰曲线的程序来估计生存函数.(Comparison of two survival curves can be done using a statistical hypothesis test called the log rank test. It is used to test the null hypothesis that there is no difference between the population survival curves (i.e. the probability of an event occurring at any time point is the same for each population). This function use the Kaplan-Meier procedure to estimate the survival function, so it is mandatory to download )

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