polynomial

matlab中处理视频的库文件，可以对各种格式的视频进行读、写操作(matlab libraries to handle the video, you can read or write various formats of video)

数字图象处理课题：图象的分解重构。运行于MATLAB环境下(digital image processing tasks : image reconstruction of decomposition. Operating in the MATLAB environment)

模拟2个独立窄带信号分别以20°，60°的方向入射到均匀线阵上，信号间互不相关，与噪声相互独立，噪声为理想高斯白噪声，阵元数为10，快拍数为200，信噪比为20dB，阵元间距分别为 tambada/6 tambada/2、tambada。(Simulate two independent narrowband signals in the direction of 20 °, 60 ° of the incident on the ULA, among signal unrelated, independent noise, the noise is ideal Gaussian white noise, the array element number 10, the number of snapshots for 200, SNR is 20dB, respectively array element spacing  tambada/6 tambada/2, tambada.)

neural network algorithm, BP method

说明：  matlab DCT 较短的程序，简单的压缩(matlab DCT shorter procedure, a simple compression)

本程序为类人机器人的一个运动学正解程序，非常好的参考程序，可以继续在上面扩充(This program is a humanoid robot kinematics program, very good reference program, you can continue to expand in the above)

n类PSVm 算法程序，相对于svm运算速度较快(n Class PSVm algorithm procedures, in relation to computing speed svm)

用MATLAB编写的模式识别中的贝叶斯分类器(Prepared using MATLAB Pattern Recognition Bayesian Classifier)

此为一篇介绍mcmc方法的外文文献 非常适合刚刚接触mcmc方法的初学者(This paper introduces the readers of the Proceedings to an important class of computer based simulation techniques known as Markov chain Monte Carlo (MCMC) methods. General properties characterizing these methods will be discussed, but the main emphasis will be placed on one MCMC method known as the Gibbs sampler. The Gibbs sampler permits one to simulate realizations from complicated stochastic models in high dimensions by making use of the model’s associated full conditional distributions, which will generally have a much simpler and more manageable form. In its most extreme version, the Gibbs sampler reduces the analysis of a complicated multivariate stochastic model to the consideration of that model’s associated univariate full conditional distributions.)

IMAGE STEGNOGRAPHY LKE THIS CHEC IT ADVANTAGE USING ATLAB.VERY USEFULL