ANN_lpc

HIGH POWER AMPLIFIER MODELING

此源码是我更改过的基于VFW(Video for Windows)的源码，使用了定时器能实时的显示图像，从网上可搜到原版源码，但是原版的功能是保存为一个文件，且不能实时显示，此版本虽然能显示，但感觉反应速度不是很快，没有基于DirectShow的程序更新速度快，不过在WM_PAINT消息处理里加while(1){capGrabFrame(ghWndCap) }刷新速度就快很多了，但是这样程序就进入死循环不能再处理其他消息，至于怎样改进，就靠读者你了。(This source is changed based on VFW (Video for Windows) source, using a timer to display real-time images from the Internet can be found to the original source, but original function is saved as a file, and can not be real-time display, Although this version can display, but feel the reaction rate is not fast, not based on DirectShow update speed, but in WM_PAINT message processing Riga while (1) {capGrabFrame (ghWndCap) } faster refresh rate on a lot, but this procedure to enter an infinite loop can not deal with other information, as to how to improve the reader to rely on you.)

FGM板有限元matlab程序 FGM板有限元matlab程序(单刚)(failed to translate)

灰度梯度共生矩阵 H 归一化灰度梯度矩阵 H_basic 小梯度优势 T1 大梯度优势 T2 灰度分布的不均匀性 T3 梯度分布的不均匀性 T4 能量 T5 灰度平均 T6 梯度平均 T7 灰度均方差 T8 梯度均方差 T9 相关 T10 灰度熵 T11 梯度熵 T12 混合熵 T13 惯性 T14 逆差矩 T15(GGCM H normalized gray gradient matrix H_basic small advantage T1 gradient big advantage T2 gradient gray uneven distribution of T3 gradient uneven distribution of energy T5 gray T4 average T6 average gradient gray T7 average gradient T8 variance variance T9 were related to T10 T11 gradient gray entropy entropy of mixing entropy T12 T13 inertia moment T15 T14 deficit)

稀尔波特黄变换可以对时间序列进行固有模态分解和hilbert变换，(Airport-Huang transform can dilute the time series of intrinsic mode decomposition and hilbert transform,)

Simple Image Recovery method

自己编的，用最小均方误差方法实现谱估计的程序(Spectrum estimation procedure using the minimum mean square error)

说明：  利用差分法，将数据拟合，从而可以更好的辨识非线性系统的损失位置。(By using the difference method and fitting the data, the loss location of the non-linear system can be identified better.)

针对约束优化问题，采用MATLAB编辑的源代码程序(For constrained optimization problems using MATLAB editing source code program)

2D-Kmeans clustering algorithm. It can be used for audio(source localization) and image clutstering(object clustering in an image)..