ecgdetectnew

人工免疫算法基于遗传MATLAB代码很有用哦(Artificial immune algorithm based on genetic code useful MATLAB Oh)

介绍了matlab工具箱的函数，方便学习和查找，迅速了解相关函数的功能(Introduced matlab toolbox function, easy to learn and find quickly understand the function of the correlation function)

1、试设计串连校正装置，在同一窗口下分别绘制出校正前后的频域响应曲线，阶跃响应曲线，判断系统校正前后的稳定性； 2、设计串连校正装置，在同一窗口下绘制出校正前后的波特图进行验证，并在同一窗口下绘制校正前后系统的奈奎斯特图； 3、设计串联滞后超前校正装置，绘制出校正前后系统的伯德图； 4、设计串联校正装置使校正后的闭环系统的主导极点； 5、设计串联校正装置，维持原系统的闭环主导极点基本不变； 6、设计状态反馈阵。(And try to design concatenation correction device, were drawn in the same window, the frequency response curve before and after correction, the stability of the step response curve, determine the system before and after correction design concatenation correction device, drawn in the same window Bode plots before and after a correction to verify, before and after correction system Nyquist diagram drawn in the same window 3 design series lag the leading correction device, drawn before and after correction system Bode plot design series correction The closed-loop system in the device so that the corrected the dominant pole design series correction device to maintain the original system closed-loop dominant pole is essentially the same 6, the design state feedback matrix.)

view dicom picture with C++

飞机纵向控制律闭环模型，可以非常方便的获得最优纵向控制律(Closed loop model aircraft longitudinal control law can be very convenient to obtain the optimal longitudinal control law)

运用MATLAB语言，对于给定的图片，做DFT,DCT等各种变换，并进行压缩(The use of MATLAB language, for a given picture, do DFT, DCT and other transforms, and compression)

本文围绕压缩感知的三个基本问题, 从结构化测量方法、结构化稀疏表示和结构化信号重构三个方面对结构化压缩感知的基本模型和关键技术进行详细的阐述.(In this paper, the basic models and key techniques of structured compressive sensing are introduced in terms of the structured measurements, the structured dictionary representation and the structured signal reconstruction, which correspond to three basic aspects of compressive sensing.)

信号模拟，分析以及应用可以分析波形的变换，频率周期的转换等。(Ocean Wave Theory of Physical Oceanography hydrodynamic theories programming model)

Windowed Fourier transform for fringe pattern analysis (with GUI) (• Run WFT in MATLAB environment. All processed data are automatically saved in result.mat 4. File list o wft2fw.m: the basic WFT algorithm. o unwrapping_qg_trim.m: quality guided phase unwrapping o WFT.m+WFT.fig: WFT overall interface o WFTKernel.m+WFTKernel.fig: interface for WFT parameter selection o imwritescale: to save data into image o readme.docx: this file. • 5. Notice Though wft2fw.m has been used by us for some years, the GUI was developed quite recently. The purpose is to make it easier to be used. Please feedback bugs to mkmqian@yahoo.com.sg. For more information, please refer to www.ntu.edu.sg/home/mkmqian. )

This function uses eigenfunction analysis to solve the matrix differential equation m*y (t)+c*y (t)+k*y(t)=f1*cos(w*t)+f2*sin(w*t) with initial conditions of y(0)=y0, y (0)=v0