matlabusedinmonidianhefa

通过这个实验，熟悉并能够灵活运用随机数函数方法去解决实际生活中的问题。(Through this experiment, familiar and flexible use of random number function to solve real life problems.)

RFID功能实现,基于信号强度的定位方法(RFID Implementation of RFID Function and Location Method Based on Signal Intensity)

MATLAB在信号处理中的应用举例 三角波或锯齿波发生函数： sawtooth() 方波发生函数： square()? 常用窗的MATLAB函数表示(MATLAB in signal processing applications, for example triangular or sawtooth wave generating function: sawtooth () square wave generating function: square () ? window commonly used MATLAB function)

这个算法通过matlab仿真得到的最小生成树Prim算法(Matlab simulation of the algorithm obtained Prim minimum spanning tree algorithm)

matlab的模式识别toolbox，将它解压缩，拷贝到matlab目录下的toolbox下，声明：请不要将这个工具箱应用到商业用途上，仅作学术参考。(pattern recognition tool box. Please unzip, copy it under the directory of matlab toolbox. Announcement: Don t apply it to commercial usage, just for research reference.)

说明：  本系统是一个校园迎新系统，包括办理各项入学手续等功能。(This system is a campus orientation system, including the processing of the admission procedures and other functions.)

说明：  应用 FFT对信号进行频谱分析 1、在理论学习的基础上，通过本次实验，加深对快速傅里叶变换的理解，熟悉FFT 算法及 其程序的编写。 2、熟悉应用FFT 对典型信号进行频谱分析的方法。 3、了解应用 FFT 进行信号频谱分析过程中可能出现的问题，以便在实际中正确应用 FFT。 (Application of FFT spectrum analysis of signal 1, the theoretical foundation of learning, through this experiment, to deepen the understanding of the fast Fourier transform, familiar with the FFT algorithm and its procedures for the preparation. 2, familiar with the application of FFT on a typical signal spectrum analysis. 3, the understanding of application of FFT spectral analysis of signal problems that may arise in order to practice the correct application of FFT.)

本程序用于实现二维Renyi熵图像阈值分割，只要输入图像数据即可得到阈值结果(This procedure is used to achieve the two-dimensional Renyi entropy image threshold segmentation, as long as the input image data can be obtained by the threshold results)

计算配电网的潮流，以IEEE40节点为例，输出具有良好的收敛特性(Trend of the calculation of the distribution network, to IEEE40 nodes, for example, the output has a good convergence characteristics)

Multi-block Methods for Exploratory Data Mining in Food Technology