comparison

说明：  MATLAB 直流电机双闭环控制仿真 经典教材(matlab zhiliudianjishuangbihuankongzhifangzhen)

fm modulation in matlab

这个Matlab程序实现最速下降算法。最速下降法是一种最基本的算法，它在最优化方法中占有重要地位.最速下降法的优点是工作量小，存储储变量较少,初始点要求不高；缺点是收敛慢，最速下降法适用于寻优过程的前期迭代或作为间插步骤，当接近极值点时，宜选用别种收敛快的算法. (The Matlab program to achieve the steepest descent algorithm. Steepest descent method is a basic algorithm, it occupies an important position in the optimization method. Advantage of the steepest descent method is the small amount of work, less storage reservoir variables, the initial point less demanding drawback is slow convergence, the steepest descent method for the optimization process of the early iterations, or as inserted steps are advised to use other kinds of fast convergence of the algorithm when close to the extreme point.)

数字图像处理的中所需要的实验源代码，可以用于教学实验平台(Digital image processing image compression source code)

医学信号处理实验指导--对ECG信号的处理-目的是对ECG信号进行预处理，以便将其进一步应用到于心电的自动检测；本次实验还包括心率的求取 (medical signal processing experimental guidance-- right ECG signal processing- is designed to ECG signal preconditioning in order to further its application of ECG in the automatic detection; the experiment also includes HR strike)

通信系统中的几种多接入方式性能比较的Matlab程序(Communication systems of several multi-access performance comparison of Matlab procedures)

程序mtlab中的代码-地震波反应谱与时程波相互转换(Interconversion between seismic response spectrum and time-history wave)

ID3jueceshusaHGXDLKASNX.ASnX.,VJZH算法的实现(id3suanfadeshixianashvxdkhclx.kanznj)

说明：  BP神经网络拟合y=x^2 使用matlab自带的工具箱(BP neural network fitting of y = x ^ 2)

A fast customizable function for locating and measuring the peaks in noisy time-series signals. Adjustable parameters allow discrimination of "real" signal peaks from noise and background. Determines the position, height, and width of each peak by least-squares curve-fitting.(A fast customizable function for locating and measuring the peaks in noisy time-series si gnals. Adjustable parameters allow discrimin ation of the "real" signal peaks from noise and back ground. Determines the position, height, and width of each peak by least-squares curve-f itting.)