DeNoising

屬於SUGENO模糊模型可以藉由類神經網路架構來替代(Belonging to fuzzy model can SUGENO neural network architecture to replace)

网上找来的共享的资源，结合matlab和C对图像进行灰度形态学的变换，为进一步的处理做准备。(Online recruited to shared resources, combined with matlab and C of the image gray-scale morphology of the transformation, in preparation for further processing.)

用MFC对话框做的ofdm系统的仿真程序，很形象，比较适合ofdm的初学者(To do with MFC dialog ofdm system simulation program, it is the image more suitable for beginners ofdm)

用于IIR信道的源代码，对初学者而言十分有用(the code for IIR channel，it is good for beginner)

E2LSH代码最全面的介绍，里面详尽的介绍了每一个函数的作用(E2LSH code for the most comprehensive introduction, which describes in detail the role of each function)

仿真程序：首先需要用一个随机发生器产生（0.1）内的均匀随机数，然后再将该序列映射到对应的幅度电平｛Am｝。然后将这个范围再分成4个相等的区间，这些子区间分别对应于4个信号比特的符号00，01，10，11。检测器观察到r=Am+n，并且计算r和4种可能传输的信号幅度之间的距离，它的输出Bm就是相应于最小距离的信号电平。Bm与真正的的传输信号幅度比较，差错计数器用来对检测器产生的差错计数。(Simulation program: first need to use a random generator (0.1) the uniform random number, then the sequence is mapped to the corresponding amplitude level {Am}. Then this range has been divided into four equal intervals, these sub-intervals corresponding to four signal bits of the symbol 00,01,10,11. Detector observed r = Am+ n, and calculate r and 4 possible transmission distance between the signal amplitude, its output corresponding to the minimum distance Bm is the signal level. Bm and the real rate of transmission of the signal comparison, error detection counter is used to generate the error count.)

HsT2Hlp_Demo,中信证券api简单的api示例(HsT2Hlp_Demo, CITIC Securities api api simple example)

离散傅里叶变换对于FDTD计算程序很有用( an algorithm resistant to print/scan process is proposed , which is based on block discrete fourier transform)

robotic code fore rotation

Malthus_Model模型的原形，以及包括绘图的源代码。希望对正在学习的你有帮助。(Malthus_Model prototype model, and includes source code for the drawing. Hope you are learning to help.)