tst2

微分进化算法（DE)matlab 源代码,可完美运行(Differential evolution algorithm source code)

to recognition the letters and numbers

电池充电模块，simulink模块，.mdl文件，锂电池SOC估计(soc estimation,.mdl,simulink charge)

NN算法实现数字卡片的识别，输出0-9的奇偶识别，Matlab下实现(NN algorithm identification card number, the output parity 0-9 recognition, Matlab to achieve)

部分用于自动控制的matlab源码，可实现阶跃响应等的模拟，不需要工具库(Part of the matlab source code for the automatic control can be realized such as step response simulation, no tool Library)

Voice activity detection using zero crossing criterion.

测量的磁滞回线数据使用matlab拟合的方法(The measured hysteresis loop data is matlab-fitted)

real time data acquisition between pic 18f and matlab

把HHT和神经网络结合起来，识别出是否故障。对于HHT变换，这里用到的是它的IMF分解，然后用能量理论来判别哪些模组是虚假分量，哪些是是真实分量。对于EMD分解后的谱进行特征提取 ，利用的理论基础就是模糊熵。计算出真实 分量的模糊熵，作为输入层；输出层为两个神经元，为0（故障 ）1（正常 （正常 ）判别该信号是否出现故障。(The combination of HHT and neural network to identify whether the fault. For the HHT transform, here is the use of its IMF decomposition, and then use the energy theory to determine which module is false, which is true component. The theoretical basis for the feature extraction of the spectrum after EMD decomposition is fuzzy entropy. The fuzzy entropy of the real component is calculated, as the input layer, the output layer is two neurons, which is 0 (fault) 1 (normal) to determine whether the signal is faulty.)

matlab ı ı r code for pic application