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给定2个点坐标，计算其连线与水平方向的夹角，夹角范围[0,2*pi](failed to translate)

汽车悬架（钢板弹簧，减震器）设计程序，matlab环境（含ＧＵＩ），(Vehicle suspension (leaf springs, shock absorbers) design procedures, matlab environment (including the GUI))

Gaussian映射的Lyapunov指数，MATLAB，非线性动力学(Gaussian map Lyapunov exponents，MATLAB，nonlinear dynamics)

,从Matlab调用C/C++代码及C/C++调用m文件两方面,深入地研究了它们之间混合编程的原理和实现机制,并且给出了具体条件下的混合编程方法和步骤。实例表明,提出的Matlab与C/C++混合编程方法是简洁、有效的。 更多还原 (Two aspects, called from Matlab the C/C++ code, C/C++ call m files, in-depth study of the principles and implementation mechanisms of mixed programming between them, and given the mixed programming methods and steps under specific conditions. The examples show that the proposed Matlab and C/C++ hybrid programming method is simple, effective. More Restore)

在不同位置以不同角度显示 有木有 的MATLAB 程序(In different locations to different angles to show some wooden MATLAB program)

压缩文件包含两个matlab程序，m_sequence.m是子函数，功能是根据本原多项式生成对应的m序列，m_sequence_nature.m是主函数，调用m_sequence.m生成m序列并验证m序列的特性。(Zip file contains two matlab program, m_sequence.m a subroutine, function is a polynomial to generate the corresponding m-sequence according to the primitive, m_sequence_nature.m is the main function, call m_sequence.m m sequence generation and validation features m sequences.)

watertank simulink example for pid

the Horn-schanks implemented code for matlab that represent the movement of images in multiple levels , this method is better than lucas-kannad

说明：  植物虫害检测（GUI，注释，svm算法） 该课题为基于MATLAB SVM方法的植物病害检测系统，带GUI界面，可以识别多种被虫害侵蚀的植物叶子，输出结果。带论文和详细注释。 train 对黄瓜子文件夹所有图片提取 颜色矩特征和gabor纹理特征，然后svm训练 test 对测试图像灰度化，滤波，提取 颜色矩特征和gabor纹理特征，然后svm模型测试，输出类别 colorMom.m 颜色矩特征提取 Gabor_palm.m gabor纹理特征提取(Plant pest detection (GUI, annotation, SVM algorithm) The project is a plant disease detection system based on MATLAB SVM method, with GUI interface, which can identify a variety of plant leaves eroded by pests and output results. With paper and detailed notes. Train extracts color moment features and Gabor texture features from all the pictures in the sub folder of cucumber, and then SVM trains them Test grayscale and filter the test image, extract color moment features and Gabor texture features, then SVM model test, output category Colormom. M color moment feature extraction Gabor u Palm. M Gabor texture feature extraction)

hough transform test images