456699

audio jack communication

说明：  matlab 计算pid 控制器,可以做任何计算很好用(apply matlab to compute PID controller)

高阶谱分析工具箱，有常见的参数模模型高阶谱估计，DOA估计与时延估计 (Higher order spectral analysis toolbox, common parameter-mode model of higher order spectral estimation of DOA estimation and delay estimation)

在数字信号的基带传输过程中，信息传输速率在满足香农公式的条件下还极大地受到码间干扰的限制(It is also limited by intersymbol interference when transmission speed of code accord with Shannon expressions in the course of baseband transmission of digital signal.)

多种MATLAB用于图像处理的代码，提高大家的编程水平(A wide range of MATLAB code for image processing, improve the level of U.S. programming)

电力系统分析牛顿拉夫逊法就算潮流主程序及各个子程序合计牛拉法(Power Systems Analysis Newton Raphson even if the trend of the main program and each subroutine Total cattle Rafah)

经典F16飞行控制仿真程序(含MDL及M源码)-MATLAB源代码(Classic F16 flight control simulation program-MATLAB source code (with MDL and M of source))

说明：  我把以前写的 C# 版的Rose 共享出来供别人学习参考。很具有学习参考价值主要涉及 GDI+ ,软件架构，和界面。对初学者很有帮助(I have previously written in C# Version of Rose shared out for others to learn from the reference. With learning reference value is mainly related to GDI+, Software architecture, and interface. Very helpful for beginners)

许多工程软件需要用到复杂的数学算法。VC++能够形成各种用户界面， 并可以直接与系统及底层硬件交换数据。因此研究VC++和Matlab 的混合编程具有很大的实际意义。该文讨论了如何使用Matlab 的Complier 将*.m函数编译为动态链接库DLL， 提供给VC++调用的方法， 提供了一种VC++与Matlab 混合编程的快速实现。(Many engineering software need to use complex mathematical algorithms. VC++ can form a variety of user interface, and can directly exchange data systems and the underlying hardware. Therefore, VC++ and Matlab of mixed programming of great practical significance. The article discusses how to use Matlab' s Complier to*. m functions compiled as dynamic link library DLL, VC++ provided to the invoked method, provides a mixed VC++ and Matlab programming fast implementation.)

针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。 (For the signal adaptive the chirplet decomposition of unknown parameters to achieve difficult to literature [1] proposed a new fast algorithm for chirplet decomposition. The algorithm makes use of the secondary phase of the calculated signal function, the conclusion focused on energy distribution curve to tune the frequency of the signal by the peak detection chirplet tune frequency, time center and amplitude estimates then by solving chirp technology to obtain the initial frequency and width is estimated that the simulation results demonstrate the effectiveness of the proposed algorithm.)