ldpc

采用辛普生计算方法进行数值计算，并对结果进行画图(simpson)

Matlab M-Files:There are four ways of doing code in Matlab. One can directly enter code in a terminal window. This amounts to using Matlabas a kind of calculator, and it is good for simple, low-level work. The second method is to create a script M-fi le. Here, one makes a fi le with the same code one would enter in a terminal window. When the fi le is “run”, the script is carried out. The third method is the function M-fi le. This method actually creates a function, with inputs and outputs. The fourth method will not be discussed here. It is a way to incorporate C code or FORTRAN code into Matlab this method uses .mex fi les. We will not disucss it here.

MATLAB/Simulink Device Blocksets for dsPIC® DSCs

已知单位负反馈系统被控对象的传函为: • 设计滞后-超前校正装置,使校正后的系统满足: • (1).在单位斜坡信号作用下,Kv=10s^(-1) • (2).校正后相角裕度³ 45° • (3).系统校正后剪切频率wc ³ 1.5s^(-1) • (4).时域性能指标:s％£ 30％,Tp £ 2s,Ts £ 6s (units known negative feedback system object to the transfer function :)

单组元推进系统仿真,对某型号单组元推进系统各部件建模，组合起来仿真。达到很好效果(Monopropellant propulsion system simulation of a certain type monopropellant propulsion system components modeling, combining the simulation. Achieve very good effect )

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)

基于最小错误概率的贝叶斯分类，用于数字识别分类(Based on minimum error probability Bayesian classifier for Digital Identification and Classification)

说明：  MATLAB数字图像的处理特效 两只猫的膨胀腐蚀(design a program for some specific effect of the 2 cats)

该源码工具包能实现矩阵的NMF分解，即矩阵的非负分解，能够用于图形的处理(This code can be used to realize NMF facterization of matrix)

kalman滤波程序，用于随即过程的估计问题，考虑被估量和观测值的统计特性，适用于平稳和非平稳随即过程(Kalman filtering program, used in the estimation problem of the random process, considering is measured and observed values of statistical properties, is suitable for the stationary and non-stationary random process)