song_yyjjxq

语音端点的检测，短时能量、平均过零率,门限，matlab(vad enfram enger zcr)

基于压缩感知(应用cosamp)处理二维信号(COSAMP compressed sensing using cosamp)

Very often I see people asking for a tool that offers more than 16 digits or so of accuracy. MATLAB itself only allows you to use doubles or singles in standard arithmetic, so that is the normal limit. The fact is, most of the time, if you can t do it with a double, you are doing something wrong. Good practices of numerical analysis are worth far more than any high precision tool. Even so, there are times when you will have a use for a bit of extra precision. And some of you will just want to play in the huge number sandbox. While some of you may use tools like that written by Ben Barrowes, HPF is written purely in MATLAB, so no compiles are needed. For all of you, whatever your reasons, I offer HPF, a High Precision Floating point tool.

Imaging processing segmentacja

LLE算法基于swiss roll与s-curve数据集的运行结果，选取的样本点数为N=2000、k=12、 d=2进行的降维运算的结果,由运算结果可知在不同的数据集上LLE算法依然能够很好地保持数据在降维前后结构的特点。(The LLE algorithm is based on the running results of Swiss Roll and S-curve data sets, and the number of selected sample points is the result of dimensionality reduction of N=2000, k=12 and d=2. It is known that LLE algorithm still can maintain the characteristics of the data before and after dimensionality reduction well on different data sets.)

说明：  Matlab 模拟仿真 MIMO 直线基站均匀分布 蒙特卡罗仿真信道容量。(Matlab simulation MIMO linear Monte-Carlo simulation of uniformly distributed base station channel capacity.)

this is a code for neural network that estimate diffrential equations with heb learning

BUCK电路数字电流型控制包括PID输出电压3v,电流1A(BUCK digital current-mode control circuit including PID，Output voltage 3v, current 1A)

基于马尔科夫随机场的图像分割matlab源码。包括ICM迭代条件模式求解最大后验概率算法。(based on the Markov random field image segmentation Matlab source. ICM conditions including iterative model for the largest posterior probability algorithm.)

从曲线中检测到其峰值：先利用二次求导得到所有凸点，设置门限，去除过低的凸点，然后利用滑动窗的方法，在凸点中求得满足峰值要求的点(Detected from the curve to its peak: the first use of the second derivative method to get all the bumps, set the threshold too low to remove the bumps, and then use a sliding window, obtained in a bump to meet peak requirements of point)