total_cost

得到不同频率、不同幅值的三角波及正弦波，并对他们进行时域分析。(Get a different frequency and different amplitude sine wave triangle spread, and their time-domain analysis.)

Information Fusion of Flash and Non-Flash Images (Project)

包含两个文件，一个是菲涅尔衍射子函数。另一个为生成一个光栅，通过菲涅尔衍射计算其泰伯距离处的像，观察泰伯效应(Contains two files, one is the Fresnel diffraction Functions. Another to generate a grating, which is calculated as the Talbot distance by Fresnel diffraction effects outlook 察泰伯)

《matlab从入门到精通》全书示例的源代码，帮助大家更好的学习matlab("Matlab from entry to the proficient," the book s source code examples to help you better learn matlab)

fault tpleran control of three phase bldc modelling and sinulation

matlab6.0时尚设计百例的30-40个程序代码，经验证，附有运行图示。 从33开始为界面设计。(100 cases of matlab6.0 fashion design program code of 30-40 months, the experience card, running with the icon. 33 started from the interface design.)

通过MATLAB实现的打砖块游戏(breakout)，内含netlab人工神经网络工具箱(The implementation of a interesting game "breakout" using MATLAB, also a netlab toolbox of artificial neural network is included.)

该文件是一个盲均衡算法程序，把输入信号矩阵做了一次解相关处理(The file is a blind equalization algorithm, the input signal correlation matrix made ​ ​ a deal with the solution)

智能天线代码，适合于学习用matlab对天线进行建模仿真，matlab可以实现对天线结构的复杂设计，尤其结合hfss功能更强大(the matlab code for antenna design)

说明：  实现多尺度熵的算法 多尺度熵（Multiscale entropy, MSE）将样本熵扩展到多个时间尺度，以便在时间尺度不确定时提供额外的观察视角。样本熵的问题在于它没有很好地考虑到时间序列中可能存在的不同时间尺度。为了计算不同时间尺度下信号的复杂性，Costa等人（2002,2005）提出了多尺度熵。(MultiScale Entropy There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.)