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zhu_jfc_change
上传一个解方程的matlab主程序mw文件，变的不好请谅解(To solve differential equations
)
- 2012-04-04 14:19:24下载
- 积分：1
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Fuzzy-toolbox--files
Fuzzy logic toolbox. This is an implementation of a simple fuzzy logic toolbox in Matlab which can be used as a controller.
- 2012-04-09 02:23:22下载
- 积分：1
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erode_dilate
matlab数学形态学处理里面，一维信号的膨胀腐蚀等没有现成的公式，编程为解决一维信号的处理问题。(-inside matlab mathematical morphology, the expansion of one-dimensional signal no ready formula for corrosion, programming to address the problem of one-dimensional signal processing.)
- 2013-03-09 17:29:26下载
- 积分：1
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3
说明： 利用那个matlab进行图像处理的几个常用的.m文件，需要自己考进自己的处理目录就可以正常使用了。(Using the matlab image processing of several commonly used. M files, you need to test their processing into its own directory to be normal use.)
- 2011-04-10 16:00:26下载
- 积分：1
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matlab_codes
ecg各个波段生成程序(The aim of the ECG simulator is to produce the typical ECG waveforms of different leads and as many arrhythmias as possible. My ECG simulator is a matlab based simulator and is able to produce normal lead II ECG waveform)
- 2011-11-16 12:04:26下载
- 积分：1
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gcv
广义交叉验证函数(GCV)
广义交叉验证函数是用随机的方法对于一个给定的值A的正则化参数的计算。(Generalized cross-validation function (GCV) generalized cross validation function is stochastic method for a given value A regularization parameter calculations.)
- 2013-11-19 20:15:04下载
- 积分：1
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paogai
中介真值程度度量，基于中介真值程度度量的图像分割利用最小二乘法进行拟合多元非线性方程，可以动态调节运行环境的参数。( The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Multivariate least squares fitting method of nonlinear equations, Can dynamically adjust the parameters of the operat)
- 2016-11-11 20:17:12下载
- 积分：1
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Solutions
Binary Phhase Shhift Keying BER in MATLAB
- 2009-07-02 05:03:19下载
- 积分：1
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ASM_version1b
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)
- 2010-03-04 17:01:22下载
- 积分：1
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childwin
H = CHILD returns the handle to a new CHILD or the handle to
the existing singleton*.
CHILD( CALLBACK ,hObject,eventData,handles,...) calls the local
function named CALLBACK in CHILD.M with the given input arguments.
CHILD( Property , Value ,...) creates a new CHILD or raise
- 2012-08-05 19:32:28下载
- 积分：1
