crack

使用TOA的方法來計算位置，相當好用的程式(Using the TOA method to calculate the location, very easy to use program)

《数字图像处理及MATLAB实现》杨杰 MATLAB 环境下的图像变换、图像增强、图像复原、图像压缩、小波变换等等完整源代码(The digital image processing and MATLAB Yang jie MATLAB environment image transformation, image enhancement, image restoration, image compression, wavelet transform, and so on complete source code )

模拟多波长前向泵浦拉曼光纤放大器，通过解raman耦合微分方程，实现信号光放大，程序能够运行，直接出结果，绝对是少有的程序，很珍贵(Before simulation of multi-wavelength Raman fiber amplifier to pump through the solution raman coupled differential equations for signal light amplification, the program can be run directly out of the results, the program is absolutely rare, very rare)

二维翼型优化程序，需要调用fluent和tecplot(2D foil optimization technique, need to use fluent and tecplot)

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.)

自适应并行陷波器,采用了陷波器的并行结构(adaptive lms)

说明：  匹配追踪算法的matlab工具箱，可以比较方便的进行mp分解，效率较高，但目前的版本对于谐波原子的分解还有些问题(Matching pursuit algorithm matlab toolbox, can be more convenient mp decomposition, efficient, but the current version of the harmonic decomposition of the atom has some problems)

matlab的一款比较好的教程，大家好好看，希望对大家有所帮助。(matlab' s a good tutorial, we take look at, we want to help.)

利用模糊算法进行控制的matlab源代码(code for fuzzy control)

IMAQPLOT is a simple demonstration of previewing video data using the toolbox s TimerFcn callback. IMAQPLOT also allows users to integrate the video preview into any MATLAB GUI. These are capabilities that are present in the toolbox s PREVIEW command, but are presented here as a demonstration of TimerFcn callback. Using toolbox callback properties, you can configure a video input object to generate a live image plot display. Do you want a basic preview window created for you? Simply call: obj = videoinput( matrox , 1) obj.TimerFcn = @imaqplot obj.TimerPeriod = 0.1 obj.FramesPerTrigger = Inf start(obj) Do you want to add a preview window to an existing GUI? Simply provide IMAQPLOT a handle to an image object and it will update it for you: obj = videoinput( dt , 1) obj.TimerFcn = {@imaqplot, hImage} obj.TimerPeriod = 0.1 obj.FramesPerTrigger = Inf start(obj)