DTMF

利用matlab循环编程的方法使小球能自动摆动，利用此方法可创建动画仿真。(cycle using Matlab programming method small ball can automatically swing, this method can be used to create animation simulation.)

打开一段波形数据，计算其峰值，获得数据有效能量。给出gui界面代码(Open a section of waveform data to calculate the peak effective energy data. Gui interface code is given)

I am submitting my CSE assignment no 4 which was based on Position square specific matrix (PSSM). Please find the attached zip file which contains matlab code of prob1 as CSEAssignment4_0800229.m file, report of the problem as Report.pdf and the two .pep files required for program to run.

ofdm signal to noise ratio

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

VC与MATLAB图像处理与识别_源代码(VC and MATLAB image processing and recognition)

On Adaptive Energy-Efficient Transmission in WSNs

计算给定时间序列的最大Lyapunov指数(compute the maximal Lyapunov exponent of a time series)

pca算法代码，清晰有注释，详细功能详细功能(PCA algorithm code, clear notes, detailed functional)

说明：  用matlab编程实现不同坐标系下姿态变换(Matlab programming to achieve different coordinate system attitude transformation)