Data-smoothing-method

MATLAB structures provide a way to collect arrays of different types and sizes in a single array. The following codes show how this can be made for problem1.m. One of the most interesting features is that the argument passing to functions is simplified. MATLAB codes for Finite Element Analysis problem1.m antonio ferreira 2008

DDS中的正余弦生成，初始相位相差90度，可自行改变输出频率(Cosine generation of DDS, the initial phase difference of 90 degrees, the output frequency can be changed on their own)

清华精仪系机器人实验，ABB机器人标定程序(Tsinghua University Department of Precision Instruments robot experiment, the ABB robot calibration)

绘制gabor滤波器的时域和空域图形，具有一定的参考价值。(Draw the time and space domain graphics .And it has a certain reference value.)

无迹卡尔曼滤波，摒弃了对非线性函数进行线性化的传统做法，采用卡尔曼线性滤波框架，对于一步预测方程，使用无迹(UT)变换来处理均值和协方差的非线性传递，就成为UKF算法(Unscented Kalman filter, eliminating the linearization of the nonlinear function of the traditional practice of using a linear Kalman filter framework for further prediction equation, using unscented (UT) transformation to handle nonlinear transfer mean and covariance, it become UKF Algorithm)

matlab 读取文件中数据并绘制图形的程序(matlab draw the data from the other files)

passive tracking algorithm

基于综合渐变滤波器的目标识别分类，通过设计训练了综合滤波器来实现(Gradient filter is based on an integrated classification of target identification, through a comprehensive filter design training to achieve)

无线异构网络中继功率分配算法.AF协议的中继放大系数（中继将接收信号用一个因子量化，该因子与接收功率成反比）,利用QPSK调制解调，最后算出误码率 (matlab ber P)

Color Image Enhancement Techniques: A Critical Review Abstract Image enhancement is one of the key issues in high quality pictures such as digital camera and HDTV. Since Image clarity is very easily affected by lighting, weather, or equipment that has been used to capture the image. These conditions lead to image may suffer from loss of information. As a result, many techniques have developed known as image Enhancement techniques to recover the information in an image. This paper presents a literature review on some of the image Enhancement techniques for color image enhancement like, Contrast Stretching, Histogram Equalization and its improvement versions, Homomorphic Filtering, Retinex, and Wavelet Multiscale Transform. Comparison of all the techniques concludes the better approach for its future research