sanfenzhierzaosheng

说明：  闭环控制系统输入信号为阶跃信号，受控对象的传递函数为3 2 1 ( ) 2 5 s G s S s s      。(Closed loop control system for the step input signal, the transfer function of the controlled object 3 2 1 () 2 5 s G s S ss      .)

正交频分复用系统中的一种子空间盲信道估计matlab仿真源程序(Orthogonal frequency division multiplexing system in a subspace blind channel estimation matlab simulation source)

分析单层感知器无法解决线性不可分输入矢量的分类问题(analysis of single-layer perceptron unable to solve the non-linear input vector classification)

differantiating two images

说明：  支持向量机（SVM）是非常强大、灵活的有监督学习算法，既可以用于分类，也可用于回归。简单支持向量机(Support vector machine (SVM) is a very powerful and flexible supervised learning algorithm, which can be used for both classification and regression. Simple support vector machine)

说明：  基于建筑抗震设计规范的反应谱（地震影响系数曲线）(Response Spectrum based on anti-seismic code for buildings)

在这项工作中所使用的方法是基于一个由大卫阿诺德教程。 http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf 这将运行该Logistic.m带来了图形用户界面。 1。放弃在列的格式文本文件中的x值 2。放弃在山口格式文本文件中的y值 3。的阴谋初始 按钮将绘制的分布 4。 查找适合 按钮，会找到最适合 5。 重置 将删除的情节（虽然我想打扫所有的领域 -没有时间） 5。地下K，糖尿病在下列公式中的值 Ÿ 等于k/（1+进出口（- G *的（十型录））） 6。上证所给出了squred误差之间的拟合函数与实际数据的总和 7。消委会提供的相关合作关系的实际数据拟合功能和效率(The method used in this work is based on a tutorial by David Arnold. http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf RUN The Logistic.m this will bring up the GUI. 1. Give the x values on a text file in column format 2. Give the y values on a text file in col format 3. Plot Initial Button will plot the distribution 4. Find Fit button will find the best fit 5. Reset will remove the plot (Although I wanted to clean all the fields- did not have time) 5. K, G, Dm are the values in the following equation y = K./(1+exp(-G*(x-Dm))) 6. SSE gives the sum of squred error between the fitted function and the actual data 7. CC give the correlation co-efficient between the fitted function and actual data)

基于matlab的simulink建立的滤波器模型，含有.mdl和.m文件( filter based on the establishment of the matlab simulink model contains .Mdl and .M file)

matlab的nmf工具箱，很有用。希望大家下载拥有。(nmf the matlab toolbox, useful. Hope you have downloaded.)

vein code recogniotion