linearbinarypattern

此代码实现的是适用matlab实现输入文件的模版匹配，(Realize this code is applicable to realize the input file matlab template matching,)

自己写的赖斯信道仿真程序，带概率分布函数，得到经典解(Their own simulation program written Laisi Xin Road, with the probability distribution function, are classical solutions)

子空间辨识，随即输入，根据算法算出系统矩阵( Subspace Identification for Linear Systems)

Physics-Based Modeling Methods Improve Control System Design Multidomain systems (mechanical, electrical, hydraulic, chemical) 􀂃 Successful controller development requires thorough and accurate understanding of plantControllerElectricalMechanicalDeviceActuatorsSensorsPlant(Physics-Based Modeling Methods Improve C ontrol System Design Multidomain systems (mec hanical, electrical, hydraulic, chemical))

经典神经网络的程序，从归一化到代码实现，是初学者必备(Classical neural network program, normalized to the code for beginners)

Matlab计算卫星角度包括仰角、方位角、相对方位角和基线倾角 (satang calculation of satellite angles: elevation, azimuth, and also relative azimuth and baseline orientation )

完整msk的调制解调信道误码率仿真MATLAB程序 是个文本的 解压后可以直接用(Complete msk modulation and demodulation bit error rate simulation MATLAB program)

无约束优化的matlab程序。很全面，适用于数学建模等竞赛活动。(Unconstrained optimization matlab program. Very comprehensive, suitable for mathematical modeling contest.)

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)

普通的PID控制，程序正确，下载就能用，只需要改PID控制的三个参数即可(Normal PID control, the program correctly, you can use to download, just change the parameters of PID control can be of three)