RFID

说明：  自己编写的用WSE的方法设计的二维数字滤波器，效果不错。(themselves with WSE prepared by the method of two-dimensional design of digital filters, effectiveness.)

本例程是利用MATLAB作为开发工具，编写代码实现卷积的数值运算(This routine is to use MATLAB as a development tool to write code to achieve the numerical convolution of)

在matlab环境下，用simulink模块编程实现PID控制基本算法(In the matlab environment, using simulink module programming PID control of the basic algorithm)

matlab with GUI code, for fourier transformation, gaussians low pass filter and gaussians high pass filter.

是一个基于hsv颜色空间进行的运动目标分割(Is a moving target segmentation based on the the hsv color of space)

雷达系统6------提高雷达性能，并绘制相关曲线(Radar system 6------ improve the performance of radar and drawing the correlation curve)

Transforms Theory and Applications 《转换定理和应用》。具体描述了H-function的性质和应用(Transforms Theory and Applications)

五种常见去隔行算法在MATLAB平台上的实现流程(The implementation process of the five common de-interlacing algorithm in the MATLAB platform)

Matlab教材样条插值工具箱splines使用说明、使用注意事项、使用实例等等(Matlab textbooks)

特徵粹取（feature extraction）是特徵選取（feature selection）的延伸，簡單地說，我們希望將資料群由高維度的空間中投影到低維度的空間，因此，我們必須找出一組基底向量（base）來進行線性座標轉換，使得轉換後的座標，能夠符合某一些特性。 我們可以將特徵粹取分成「包含類別資訊」和「不包含類別資訊」兩大類。包含類別資訊指的是我們已經知道哪些資料分別歸屬於哪一類；而不包含類別資訊的特徵粹取則適用於我們不知道手上的資料點分別該歸屬於哪一類，甚至連該劃分成幾類都不知道的情況。對於這兩大類資料，可以分述如下： 對於「不包含類別資訊」的資料，我們通常使用「主要分量分析」（principal component analysis），簡稱 PCA。 (Cuiqu features (feature extraction) is feature selection (feature selection) extension, simply put, we want to base the projection data the high-dimensional space to low-dimensional space, so we have to find a set of basis vectors ( base) to the linear coordinate conversion, so that after the coordinate conversion, can meet a number of features. We can feature Cuiqu into " category contains information" and " does not contain a category of information," two categories. Contains categories of information refers to what we already know what kind of information are attributed to Cuiqu features include categories of information are not applicable to information we do not know the points are in the hands of the home in which category, and even that is divided into several class do not know the situation. For these two categories of information, can be divided as follows: For information " does not include the categories of information" , we usually use the " )