sdinf

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)

此文件为MATLAB的M文件，功能是通过Jcobi迭代法求相应精度和迭代次数限制的线性方程组。(This file MATLAB M-files, the demand function is through Jcobi iterative method of linear equations corresponding precision and limit the number of iterations.)

MODELING OF STATIC SERIES VOLTAGE REGULATOR IN DISTRIBUTION SYSTEM FOR LOSS REDUCTION

异步电动机直接转矩控制基本原理和基于dsp控制(Induction motor direct torque control principle and control based on dsp)

将idl的程序用于matlab中，使程序具有通用性(idl to matlab)

上传的都是一些没有完成的小程序，希望大家帮帮忙，小女子这厢有礼了(I m a new student)

a perimater time ca for quen bee problem

this is the simulink block diagram for the DSB-SC "double side band suppress carrier"

自适应陷波波器把60HZ的信号过滤出来的程序(Adaptive trap wave filter to 60HZ the signal out of the program)

Lets see how to detect face, nose, mouth and eyes using the MATLAB built-in class and function. Based on Viola-Jones face detection algorithm, the computer vision system toolbox contains vision.CascadeObjectDetector System object which detects objects based on above mentioned algorithm.