priyamka_madam

离散论域模糊控制表的离线计算.已知单变量两维输入，一维输出模糊控制器，其两维输入为E，EC，一维输出为I，论域均为E，EC，I∈{-6，-5，-4，-3，-2，-1，0，1，2，3，4，5，6}，E的论域划分为{NB，NM，NS，NZ，PZ，PS，PM，PB}，共8个模糊子集(Discrete domain of fuzzy control table offline computing. Known univariate two-dimensional input, one-dimensional output fuzzy controller, the two-dimensional input of E, EC, one-dimensional output as I, on the field are E, EC, I ∈ {-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6}, E of the domain is divided into {NB, NM, NS, NZ, PZ , PS, PM, PB}, a total of eight fuzzy subset)

该程序是石川法计算齿轮啮合冲击载荷的matlab程序(The program is calculated Ishikawa gear shock loads matlab program)

参考Matlab提供的模块建立简化的三相锁相环的仿真模型，只保留必要的步骤，如abc-dqz只计算Vq，去除频率反馈模块和自动参数调整模块等。 建立单相锁相环的计算模型  简化单相锁相环的系统结构，保留必要的PI控制器等模块  验证并讨论输入信号频率在45-65Hz变化时设计的锁相环的动静态性能  仿真并分析三相输入信号包含谐波、不平衡和直流偏移时锁相环的锁相结果(Reference Matlab provides three-phase PLL module to establish a simplified simulation model, retaining only the necessary steps, such as abc-dqz counting only Vq, remove frequency feedback module and automatic parameter adjustment module.  simulation and analysis of the three-phase input signal contains harmonics, unbalance and DC offset PLL phase-locked Results)

大气统计方法作业 对给定数据进行功率谱分析 并画出功率谱图(For a given power spectrum analysis of the data and draw the power spectra)

实验所需的功能函数，用于空间图像计算机模拟(Function experiment, computer simulation of images for use in space )

北京邮电大学出版的书 通信原理基于Matlab的计算机仿真(Communication principle of computer simulation based on Matlab)

基于matlab的曲线标记，实现了不同曲线的正确标记，以直观体现数据的规律。(Different curve matlab curve mark the correct mark, the law of visual expression data.)

说明：  对信号进行小波变换，确定小波基的选择和分解层数，再求解信号的信息熵，可用于故障诊断。(The wavelet transform is performed on the signal to determine the selection and decomposition layers of the wavelet base, and then the information entropy of the signal is solved, which can be used for fault diagnosis.)

说明：  lfm线性调频脉冲多普勒雷达信号处理仿真。(Simulation of LFM chirped Doppler radar signal processing.)

In order to fulfill the implementation of this project there are three main objectives that need to be achieved: 1. To learn and apply a technique for object recognition for single and multiface detection. 2. To examine the principal component analysis (PCA) performance in multiface detection system. 3. To learn and use MATLAB to develop an intelligent system using Image processing tools.