FICA-matlab

这是用MATlab进行用户界面设计的程程序这是界面的功能是：对连续时间函数w(t)=exp(-abs(t))在【-5，5】区间内进行采样，利用样条插值重构该连续函数，绘出重构图形并输出重构误差。(It is used MATlab process of user interface design process which is the interface functions are: a continuous time function w (t) = exp (-abs (t)) in the range】 【-5,5 samples, using spline Reconstruction of the continuous interpolation function, draw the reconstruction graphics and output reconstruction error.)

界面响应鼠标事件，左键或者右键单击，移动，双击(Interface response mouse events, the left key or right-click, move, double click)

PSCAD EMTDC仿真软件及在电力电子技术仿真中的应用(pscad stimulation application)

FMCW汽车防撞雷达的多目标信号处理方法研究，介绍了汽车防撞雷达的信号处理流程及相关方法(Multi-objective signal processing method FMCW automotive collision avoidance radar, introduced the automotive collision avoidance radar signal processing and related methods)

数学建模之公园建路问题（2012年西北工业大学数学建模竞赛）(Mathematical modeling of the park was built Northwestern Polytechnical University Mathematical Contest in Modeling (2012))

LTE中随机接入信道的源代码分析，包括发送端和接收端(LTE in the random access channel of the source code analysis, including the sending end and receiving end)

一个简单的预测控制例子，基本预测控制算法(Predictive control of a simple example, the basic predictive control algorithm)

matlab神经网络工具箱介绍，介绍了神经网络工具箱的函数使用(matlab neural network toolbox, the introduced neural network toolbox function of the use of)

这个例子展示了如何应用偏最小二乘回归(plsr)和主成分回归(PCR),并讨论了两种方法的有效性。 本人亲测有效(This example shows how to apply Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR), and discusses the effectiveness of the two methods. PLSR and PCR are both methods to model a response variable when there are a large number of predictor variables, and those predictors are highly correlated or even collinear. Both methods construct new predictor variables, known as components,)

对有光照影响的图像实行同态滤波，滤除光照影响(The implementation of the homomorphic filtering, filter out light effects on the image)