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MATLAB6.0HandbookMathematics
MATLAB6.0数学手册pdf版本，可方便查找matlab的常用数学函数，并针对各函数都有详细的例子(MATLAB6.0 Mathematical Manual pdf version of the matlab can easily find a common mathematical functions, and for each function are detailed examples of)
- 2009-12-15 18:51:38下载
- 积分：1
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filter
各种滤波器的设计，包括高斯低通滤波器。hilberrt带通滤波器，插值滤波器等等。(Various filter design, including Gaussian low-pass filter. hilberrt band-pass filter, the interpolation filter and so on.)
- 2013-07-10 11:51:06下载
- 积分：1
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face_detection
说明： 一个非常优秀的人脸检测matlab程序，可用于人脸跟踪、识别的基础，附有测试图片！(A very excellent face detection matlab program can be used to face tracking, recognition based on testing with pictures!)
- 2011-04-01 14:50:04下载
- 积分：1
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cv
说明： vectoriel control of synchronious machines
- 2010-05-22 00:15:46下载
- 积分：1
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UTVExpPack
UTV分解工具包,常用的相关matlab程序(tools of UTV)
- 2013-05-04 23:18:20下载
- 积分：1
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K-meanCluster
How the K-mean Cluster work
Step 1. Begin with a decision the value of k = number of clusters
Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following:
Take the first k training sample as single-element clusters
Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster.
Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample.
Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)
- 2007-11-15 01:49:03下载
- 积分：1
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dwt_wm
watermarking algorithm using DWT technique
- 2011-05-18 16:24:41下载
- 积分：1
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teshuhanshu
在matlab软件平台上对一些需要调用的特殊函数的计算。(Special function calculation)
- 2013-08-15 18:12:36下载
- 积分：1
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mls_mb
A code to fit a curve on sampled data using moving least squares method.
MLSM is generalized form of weighted least squares and firstly introduced to use in meshless Finite Element Method (FEM). The main feature of this method is that the weight function is updated from point to point which enables the user to control “closeness of fit”.This code is performed for 1D fitting and is tested on a sinusoid function.
- 2012-08-02 16:28:47下载
- 积分：1
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psomatlab
包括粒子群算法的MATLAB工具箱和PDF文档的使用说明(PSO TOOLBOX IN MATLAB)
- 2009-06-05 09:07:01下载
- 积分：1
