exercise1

GPS信号的产生过程，用matlab编写的程序，简单实用。(GPS signal generation process, using matlab program, simple and practical.)

%(第一步加载原始数据并绘图)m文件保存代码;而mat文件保存工作区里面已经加载或计算好的数据 %当前文件夹显示的路径一定要是保存数据和保存代码的文件夹 %“relt”是包含分解结果的矩阵，第一列是原始输入（“gsta（：，2）”），最后一列是趋势。 中间是IMF频率从高到低。 %应该注意的是，由于在eemd.m中，IMF的总数m被指定为log2（N）-1，在某些情况解的线条进行了合并 %因此会比实际分解得到的减少，但在计算周期和表现显著性的时候要将每个模态的周期和显著性计算在内。((The first step is to load the original data and draw) m file saves the code; the mat file saves the data already loaded or calculated in the workspace %% the current folder displays a path that must store data and save the code folder. %"relt" is the matrix that contains the decomposition result, the first column is the original input ("gsta (:, 2)"), and the last column is the trend. The middle is the IMF frequency from high to low. It should be noted that since the total number m of IMFs in eemd. m is specified as log2 (N) - 1, the lines of the solution are merged in some cases % will therefore be less than the actual decomposition, but the period and salience of each mode will be taken into account when calculating the period and performance saliency.)

Computes the Forward kinematics of the RA-01 Robotic arm made by Images SI, Inc

Ready solution for the lmathlab program of testing project theory

应用MATLAB对加速度时程进行快速傅立叶变换,并绘加速度时程图和频谱图.(FFT and plot picture)

Matlab plot函数使用方法（详细）( Matlab plot function using method (detailed))

This is a MATLAB implementation of the SIFT keypoint detector and descriptor (do_gaussian: generate Gaussian scale space of input image do_diffofg: generate Difference of Gaussian (DoG) scale space do_localmax: local extrema as the potential keypoints do_extrefine: refine the keypoints by discarding the ones with low contrast and along an edge do_orientation: compute the orientation of a support region of keypoint do_descriptor: compute the descriptor of a keypoint based on image gradients. do_match: match two images based on the nearest neighbor principle and spatial consistency. do_sift: generate the SIFT descriptors for a given input image. It basically s all the functions above. )

MLI vectorielle Simple

用LAPLACE方法求解多维沃尔泰拉方程，此处为一个变元的方程，由于该方程同时含有微分和积分，一般求解有一定的困难。此处为MATLAB程序，注意不同的初始条件(used method for multiple preoperational Ertaila equation here as a variable element of the equation, As the same time contain differential equations and integral, the general solution is definitely difficult. MATLAB here for the procedure to different initial conditions)

Digital Communication Intel Engineering