PV-system

利用hough变换函数求取5条最长的直线方程,并重新绘制这5条曲线——hafu.m(Hough transform function used to obtain five longest straight line equation, and re-draw the five curves- hafu. M)

this code implemente a blind watermarking

这是一个混沌神经网络的matlab程序，可用于实现基于混沌神经网络的预测和建模。(This is a chaotic neural network matlab program for chaotic neural network-based forecasting and modeling)

matlab神经网络案例分析源码10，离散Hopfield的分类——高校科研能力评价 (matlab neural network source 10 case studies, discrete Hopfield classification- Research Capacity Evaluation)

比较全的信号统计特征的调用程序，包括均值MV, 均方根值RMS, 方根幅值RA, 绝对平均值AA, 偏斜度SKEW, 峭度KV, 方差VAR, 最大值maxW, 最小值minW, 峰-峰值PPV(Compare all the statistical characteristics of the signal caller, including mean MV, RMS value RMS, root amplitude RA, absolute average AA, skewness SKEW, kurtosis KV, variance VAR, max maxW, minimum minW , peak- PPV)

说明：  观察高斯序列 的时域和幅频特性。 ①固定p=8，q分别等于2、4、8，观察它们的时域和幅频特性，了解当q取不同值时，对信号序列的时域和幅频特性的影响 ②固定q=8，p分别等于8、13、14，观察p变化对信号序列时域和幅频特性的影响，注意p等于多少时，会发生明显的泄露现象，混叠是否也随之出现？记录实验中观察到得现象，绘出相应的时域序列和幅频特性曲线(Observed Gaussian sequence in time domain and amplitude-frequency characteristics. ① fixed p = 8, q is equal to 2,4,8 respectively, to observe them in time domain and amplitude-frequency characteristics, to understand when the different values of q, the signal sequence in time domain and amplitude-frequency characteristics of ② fixed q = 8 , p is equal to 8,13,14 respectively, to observe the changes in the signal sequence p in time domain and amplitude-frequency characteristics, note that p is equal to the number when the apparent leakage phenomenon, aliasing is also gone? Records of the experiment was observed phenomenon, draw the corresponding time-domain sequence and amplitude-frequency characteristic curves)

matlab rdetection for ECG to study ecg signal

说明：  基于matlab中的simulink搭建的编码ofdm的仿真平台，可以直观的看出编码前后系统误符号率的变化(based on the Matlab Simulink OFDM coding structures of the simulation platform, can see the visual coding system around the misuse of the symbol rate changes)

The GUI is used to demonstrate the results and concepts used in the paper. If readers want to use its result in their research for determining the minimum-length or time-optimal trajectory, just call function

Exellent Introduction to Statistics Toolbox 对matlab Statistics Toolbox的非常棒的demo (Exellent Introduction to Statistics Toolbox demo/M-Files: closeDTool.m Force close DFITTOOL (without confirmation dialog) createCarDatabase.m Creates dataset array from Excel file and converts appropriate variables to categorical arrays FuelEconomyAnalysis.m Main analysis script for publishing loadData.m Load all data in directory and create a single dataset modelMPG.m Creates model for MPG based on filter parameters myDistFit.m Distribution fit for MPG (auto-generated, not used in demo) myPlot.m Custom plot for plotting model MPG vs. actual MPG simMPG.m Simulate the model with parameters demo/Excel (.xls) Files: 00dat.xls Fuel economy data for the year 2000 01dat.xls Fuel economy data for the year 2001 02dat.xls Fuel economy data for the year 2002 03dat.xls Fuel economy data for)