noise_tianjia

。在提取图像特征点的时候采用提取角点的方式，用角点检测与图像的局部自相关函数紧密结合的方法，通过角点分析来判断待检测点是否为角点。(In the extraction of image features: by the way, extracts angular point with corner detection and image of partial autocorrelation function of integrated method, through the corner to judge whether the line to analysis for the corner.)

In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is introduced by using the SVM. The kernel mapping idea is used to derive the non-linear version, Kernel Discriminant via Support Vectors (SVKD). In SVDA, only support vectors are involved to obtain the transformation matrix. Thus, the computational complexity can be greatly reduced for kernel based feature extraction. Experiments carried out on several standard databases show a clear improvement on LDA-based recognition

matlab读取YUV文件，有需要的可以看看 (Matlab read YUV video, detailed and comprehensive, there is a need to have a look)

对物种灭绝的一个马尔科夫链仿真，利用循环和概率来进行逐步仿真。(For a Markov chain simulation of species extinction, cycle and probability are used for step-by-step simulation.)

说明：  实现二维的避障路径规划，自己规划障碍物形状和选择点，利用轮盘赌迭代出最优路径。(Realizing two-dimensional obstacle avoidance path planning)

这是一个matlab图像运算包，多幅图像的数学运算，包括图像的代数运算、图像的逻辑运算、图像的块和邻域操作、图像几何运算等(This is a matlab image computing package, multiple images of mathematics, including algebra images, images of logical operations, the image of the block and neighborhood operations such as geometric operations)

Implementation bayes

WLan-IEEE802.11a modified with MIMO (Multiple transmitter and receiver)

the code for four bit qpsk with 90 degrees phase shift with constellation and without constellation of noise is given

说明：  一个4阶的切比雪夫Ⅰ型低通滤波器，可以用它对信号进行滤波。当然，滤波器的零极点图也是必不可少的。(A 4-order Chebyshev low-pass filter of type Ⅰ, you can use it to filter the signal. Of course, the filter pole-zero map is essential.)