pca

该程序是基于matlab/simulink下的扩频调制仿真通过采用PN码来调制信号，实现扩频调制( The program is spread spectrum modulation simulation matlab/simulink based under PN code through the use of modulated signals, spread spectrum modulation)

IEC60601-1-8音频报警标准提供了富有和声的音调，以便使它们容易定位、并能防止屏蔽的干扰。范畴与对应旋律的数量都有限，从而能获得容易掌握的不同报警顺序。另外，报警的优先权决定了报警中音符的数量，以及音符顺序的动态特征。这使得人们容易确定报警的紧急程度。这样，IEC60601-1-8标准解决了许多以前报警的限制因素，而且将有助于改善患者的安全性。(IEC60601-1-8 standard audio alarm provides a rich harmonic tone in order to make them easier to locate and prevent interference shielding. Areas and have limited the number corresponding to the melody, so that it can be easy to grasp the order of the different alarm. In addition, the alarm priority determines the number of alarm in the note, and note the order of the dynamic features. This makes it easy to determine the urgency of the alarm. This, IEC60601-1-8 standard solution before the alarm of many constraints, but will also help improve patient safety.)

应用共轭梯度法综合优化交叉耦合滤波器。参考文献<Synthesis of Cross-coupled’Resonator Filters Using an Analytical Gradient-Based Optimization Technique >Smain Amari(Synthesis of Cross-coupled’Resonator Filters Using an Analytical Gradient-Based Optimization Technique _Smain Amari-)

产生正态变量的随机数,进行未知参数的区间估计 产生两个正态总体的随机数, 进行未知参数均值差,方差比的区间估计.( generate normial variable, estimate unknown paramatric interval )

对机载SAR系统点目标进行模拟仿真，利用RD算法分别对零斜视角、小斜视角、大斜视角进行成像。(This experiment is for point target simulation of SAR system, and we use RD algorithm to achieve point target imaging, respectively, zero oblique angle, a small oblique angle,and a large squint angle imaging.)

SAR图像滤波方法的入门级文献，适合SAR图像处理的初学者使用(SAR polarization filtering methods literature)

刘金坤智能控制与应用这本书的课后MATLAB程序源代码(Liujin Kun intelligent control and application of this book' s after-school program MATLAB source code)

说明：  无线传感器网络路由协议DSR的改进的matalb仿真实例(DSR routing protocol for wireless sensor networks improved the matalb simulation)

matlab 编程应用100例中的数值分析篇(matlab programming applications Numerical analysis of 100 cases articles)

kernelized fuzzy rough set based feature evaluation selection