E1XUGAO

motionComp.m 运动补偿算法 imgPSNR.m 图像的PSNR (motionComp.m motion compensation algorithm imgPSNR.m image PSNR)

About chebyshev moments

给音乐添加噪声再通过低通滤波器滤掉噪声，性能改善过后能明显看到效果。(Add noise to the music and through a low pass filter filters noise, performance improvement can be evident after the effects.)

pendulus simulink model

基于粗细定位相结合的车牌识别方法，有别于一般的车牌识别算法，有兴趣的可以研究一下哈～(Based on the combination of coarse and fine positioning plate recognition, license plate recognition algorithm is different from the general, interested can look at Ha ~)

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

图像加噪，平滑使质量下降；图像的空域增强；中值滤波器；(Image denoising, smooth added that quality drop Image airspace strengthened Median filter)

基于切比雪夫最佳一致逼近设计了低通、高通、带通、带阻线性相位FIR滤波器(Based cut Chebyshev best uniform approximation to design low-pass, high pass, band pass, band-stop linear-phase FIR filter)

基本蚁群聚类算法及其改进算法[带Matlab源代码] 该算法，解决了不收敛的问题，聚类效果非常好（效果图如附件图片所示）。 改进的蚁群算法是基于遗传算法的改进，在基本遗传算法的基础之上，加入了变异因子， 产生变异，从而更快的收敛。 (The basic ant clustering algorithm and its improved algorithm with Matlab source code of the algorithm to solve the non-convergence problems, the clustering effect is very good (image such as shown in the attached images). Improved ant colony algorithm is a genetic algorithm-based improvements in the basic genetic algorithm based on the added factor of variation, mutation, and thus faster convergence.)

SOLVE PROGRAM RBF Interpolation BY ICA