simpgrad

加arnold置乱的数字水印在matlab下的ＤＦＴ仿真实现整个程序运行还行，共享给大家-jpeg of the Matlab Simulation, and the whole process has run OK, for everyone to share (Add arnold Scrambling of digital watermarking in matlab under the DFT simulation run also realize the whole process line, to share to everyone-jpeg of the Matlab Simulation, and the whole process has run OK, for everyone to share)

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)

说明：  LFM波形产生，匹配滤波输出，匹配滤波器输出(LFM waveform generator, matched filter output, matched filter output)

matlab function for electroencefilogram

edge based active contour model as an application of distance regularized level set evolution

卡尔曼滤波器概论，学习的入门材料，初学者可以看看。(An Introduction to the Kalman Filter is very good conference,which is commended to the students.)

preconditioned gradient algorithm for iterative solution

real time control matlab

goto matlab function

球型机器人路径跟踪算法。 路径跟踪带带干扰 非线性PID算法(1. Circle following Parameter selection：Euler Fixed-step size:0.001 2. Run: first "robot_sim" and then "robot_plot" )