composite

一个利用matlab，仿真实现WCDMA的程序：）(A use of matlab, simulation procedures WCDMA realize:))

说明：  bp网的程序，设计一个神经网络字符分类器对英文字母进行分类。输入向量含有16个分量，输出向量分别用设置的T向量，还不完善，有待改进(bp network program, character design a neural network classifier to classify the English alphabet. Input vector contains 16 components, respectively T vector output vector set, not perfect, needs improvement)

基于暗原色先验的单一图像去雾算法 香港中文大学的一篇论文(dark channel prior dehazing single image dehazing using dark channel prior)

基于LabVIEW的FSK调制解调仿真设计.....(FSK modulation and demodulation based on LabVIEW simulation design .....)

Image coding based on a morphological representation

自己编写的短时傅里叶变换（STFT）程序，短时傅里叶变换可以获得非平稳信号的时频图，主要原理是用滑窗截取一段信号，认为这一段时间内信号是平稳的，对其进行fft变换获得频谱(I have written a short time Fourier transform (STFT) program, short-time Fourier transform can be obtained non-stationary signal frequency diagram, the main principle is the interception of a signal with a sliding window that within this period of time the signal is stationary, access to spectrum fft transform them)

asynchronous machine with ondulleur

刘金琨《先进PID控制MATLAB仿真》一书的全部代码(Liu Jinkun " Advanced MATLAB simulation of PID control," a book all the code)

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.)

自反馈神经网络 matlab程序 适合深入学习神经网络 附有程序所需数据(Self-feedback neural network matlab program)