lizi

《MATLAB时尚百例实例》实例26-69()

this will help u in the designing of a wireless communication system

MIT--航空航天工程中的计算方法_模拟飞机的动力学 MIT公开课程--航空航天工程中的计算方法 这门课程适用于在航空和航天工程中出现的计算方法的入门学习。其应用是从航空宇宙结构，空气动力学，动力学和控制，和航空宇宙系统选出的。其技术包括：常微分方程系统的数值积分；偏微分方程式的有限差分,有限体积, 和有限元的离散化；数值线性代数；本征值问题和带有约束的最优化。(MIT- Aerospace Engineering in the calculation of simulated aircraft dynamics _ MIT Open Course- Aerospace engineering calculation methods for this course in aviation and aerospace engineering calculations appear in an introduction. The application is from aerospace structures, aerodynamics, dynamics and control, and aerospace systems selected. The technologies include: numerical integration of ordinary differential equations systems partial differential equations of finite difference, finite volume, and finite element discretization numerical linear algebra eigenvalue problems with constraints and optimization.)

三维路径规划算法，蚁群算法实现，注释详细清晰，程序完整(Three-dimensional path planning algorithm, ant colony algorithm, detailed notes clear, complete procedures)

说明：  这是盲信号的代码 都已经通过编译了 做这方面的同仁可以参考一下 我觉得蛮惯用的(This is the Blind have passed code compiled into this area of reference for my colleagues I think it is pretty usual)

这是一个完整版，包含调用文件。整个视频可以用在不同尺度和位置计算得来的特征集进行表示。Hog3D描述子由Alexander Klaser Marcin Marszał ek Cordelia Schmid等人提出的，将HOG的概念扩展，由静态图像特征提取扩展到视频序列的特征提取，在视频序列中的行人检测取得了较好的成果。(This is a complete version, including calls to the file. The video can be used in different scale and location characteristics were calculated set of representation. The Hog3D descriptor proposed by Alexander Klaser Marcin Marsza EK Cordelia Schmid et al, will the concept of HOG is extended static image feature extraction, extended to extract features of video sequences, pedestrian detection in video sequence and achieved good results.)

network security algorithm ceasar cipher codes, simple implementation

基于otsu算法的图像分割算法实现，经过多次验证，程序无错误。(Based on Otsu algorithm for image segmentation algorithm, after repeated verification, error-free program.)

解决非线性规划问题的内点罚函数法，使用fmincon函数(The interior penalty function method for solving nonlinear programming problems uses the fmincon function)

适当选择辅助变量，使之满足相应条件，参数估计值就可以是无偏一致。估计辅助变量法的计算量与最小二乘法相当，但辨识效果却比最小二乘法好的多。尤其当噪声是有色的，而噪声的模型结构又不好确定时，增广最小二乘法和广义最小二乘法一般都不好直接应用，因为他们需要选用特定的模型结构，而辅助变量法不需要确定噪声的模型结构，因此辅助变量法就显得更为灵活，但辅助变量法不能同时获得噪声模型的参数估计。(Choose appropriate secondary variables, meet the relevant conditions and parameter estimate can be unbiased consistent. Estimated auxiliary variable method calculation and least square method is quite, but the identification effect is much better than the least square method. Especially when the noise is colored, and noise model structure and not sure, augmented the least squares and the generalized least squares method is generally not used directly, because they need to choose specific model structure, and auxiliary variable method does not need to make sure that noise model structure, so the auxiliary variable method is more agile, but not at the same time auxiliary variable method for noise model parameter estimation.)