jinhuayichuansuanfa

Data mining, machine learning

介绍C的好书,里面介绍了很多编程的知识，指的我们赌一赌，看一看(a book about c,it is a good description about c.and you can devalop your knowledge.)

Demoagvdemo which used kalman and dd1 and dd2

关于cuda计算,我认为很好。NVIDIA_CUDA_Programming_Guide_2.3.pdf(Calculated on the cuda, I think very well. NVIDIA_CUDA_Programming_Guide_2.3.pdf)

这是一个用matlab编写的人脸搜索程序里面包含一个小的人脸图片数据集。(This is contains a small face images datasets were prepared using matlab face a search program inside.)

数值分析 孙志忠 上机题 牛顿法,计算机(Numerical analysis of Newton' s method RAIL-on title)

用自适应方法，对ABR交通流的拥塞控制。(With adaptive methods, the ABR congestion control traffic flow.)

matlab中文帮助文档,matlab强大的数据处理和图像处理能力(matlab help in Chinese)

4阶龙格库塔方法求解常微分方程组，并作出混沌系统的吸引子图像(4-order Runge-Kutta method for solving ordinary differential equations, and make attractor image)

盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音以及地震信号处理等领域有着广阔的应用前景。基于负熵最大的FastICA算法用于实现盲信号分离。该方法的基本思路是以非高斯信号为研究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。(Blind signal separation is the study of signal processing, one of the hot topics in wireless data communications, medical, speech and seismic signal processing and other fields have broad application prospects. Negentropy based on the largest FastICA Algorithm for Blind Signal Separation realize. The basic idea is based on non-Gaussian signal as the research object, in the independence assumptions on the multi-channel observation signal blind source separation. In meeting certain conditions, be able to multi-channel observation signal, the better to isolate the independent source signal implied.)