OFDM_Transmission

面元法计算机翼气动参数，有nasa上百个翼型库文件，可以手动加载，进行翼型设计时可以选择和profile配合使用(pablo)

典型模拟通信系统仿真 增量调制 PST编码 FSK 汉明码(communication system modulation)

采用db3小波对信号进行六层分解，可以用作容错故障检测的源程序，我做的小论文就用的这个程序，没有错误(Using six db3 wavelet decomposition of the signal can be used as fault tolerance fault detection of the source, I made a small paper on the use of this program, no errors)

受纯弯曲的梁的matlab有限元计算源程序，配套书籍是《ansys分析与matlab编程：徐荣桥》(Pure bending beam source matlab finite element calculation, matching books ansys analysis and the matlab programming: Xu Rong Bridge " )

matlab例程，非常好用，便以移植,bianyuxuexi(matlab routines, very easy to use, then to transplant)

蒙特卡洛方法 有趣的蒙提霍尔问题 求选中汽车的概率的模拟值向量(Monte Carlo method interesting Monty Hall problem seeking the analog value of the probability of the selected car vector)

regular fuzzy control system

GMM的matalab实现，通过对多个语种进行训练，然后得出每个语种的GMM模型，最终用于语种识别(GMM' s matalab achieved through training of more than one language, then come to the GMM model for each language, and ultimately for identifying languages)

This project seeks to implement H.264 (the standard x264 is based on) to run on CUDA. Specifically we attempt to write the motion estimation module in CUDA. Motion estimation is currently the most computationally intensive portion of the H.264 encoding process. Previous attempts to parallelize this algorithm in CUDA showed sizeable speedups but sacrificed quality by ignoring the motion vector prediction (MVp). We demonstrate the viability of a hierarchical (pyramid) motion estimation algorithm in CUDA. This solution addresses the MVp problem while still taking advantage of the CUDA framework.

拉普拉斯映射的基本思想是在高维空间中离得 很近的点投影到低维空间中的像也应该离得很近,最终求解归结到图拉普拉斯算子的广义特征值问题,本例为拉普拉斯调用函数,对于学习维数约简的同学或许有帮助.(The basic idea is the Laplace mapping from very near the point of projection in the high-dimensional space as low-dimensional space should be very close, and ultimately solving the generalized eigenvalue comes down to Figure Laplace operator problem, in this case call the function for the Laplace, the learning of students of dimensionality reduction may be helpful.)