hii

这是在研究神经网络的过程中，自己编写的用于模式识别的MATLAB源代码，相信对于神经网络的学习者有帮助，其中也给了测试数据！ (This is the study of neural networks in the process of their preparation for the MATLAB source code for pattern recognition, neural networks and I believe that learners be helpful, which also gave the test data!)

地震波偏移各种方法的实现程序代码，可以参考下！(Seismic migration of various methods to realize the program code)

matlab code for tightfig

基于cost207模型的AM调制的仿真，仅仿真乡村模式，用于课本《移动通信》第三章10题的入门回答(AM modulation cost207 model-based simulation, emulation mode only country, introductory textbook for " Mobile Communications" Chapter 10 questions answered)

modifi bf load flow in matlab

一种新的针对卷积码的删余编码的编码方式，比较简洁明了，易于快速理解和掌握删余编码技术(A new code for convolution coding punctured encoding relatively concise, easy to understand and grasp quickly punctured coding technology)

Returns weighted percentiles of a sample given the weight vector w ％ The idea is to give more emphasis in some examples of data as compared to ％ others by giving more weight. For example, we could give lower weights to ％ the outliers. ％ The motivation to write this function is to compute percentiles for Monte ％ Carlos simulations where some simulations are very bad (in terms of goodness ％ of fit between simulated and actual value) than the others and to give ％ the lower weights based on some goodness of fit criteria.(Returns weighted percentiles of a sample given the weight vector w The idea is to give more emphasis in some examples of data as compared to others by giving more weight. For example, we could give lower weights to the outliers. The motivation to write this function is to compute percentiles for Monte Carlos simulations where some simulations are very bad (in terms of goodness of fit between simulated and actual value) than the others and to give the lower weights based on some goodness of fit criteria .)

粒子滤波程序 有助于对粒子滤波初步了解 加深对粒子滤波的认识(Particle filter program helps a preliminary understanding of the particle filter to a better understanding of the particle filter)

基本粒子群算法的部分代码，有详细注释,适合初学者(PSO part of the code, there are detailed notes, suitable for beginners)

fficient GMM clustering using Multiple Threads