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fresnelzone
This code can be use in fresnelzone of seismic data.
- 2009-11-07 01:37:57下载
- 积分：1
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f11
小波变换在信号处理中的应用，应用db5小波对例子信号进行7层分解(Wavelet transform in signal processing applications, application db5 example wavelet decomposition of signal layer 7)
- 2010-12-20 18:38:29下载
- 积分：1
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dipum_toolbox_m_files
dipum toolbox m-files
- 2010-02-07 20:07:20下载
- 积分：1
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ssim_index
to calculate the structural index
- 2011-11-17 13:48:20下载
- 积分：1
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afshin
the best file to learn english format
- 2014-12-27 04:11:17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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bsvm
两类支持向量机,用于分两类的问题其中是带有类别的结构体类型数据(binary svm)
- 2011-05-01 16:58:07下载
- 积分：1
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xuanzhiwenti
基于matlab的选址问题程序，使用佛洛依德算法，可以任意增添，或修改地点，通过加权后的结果得出最优解。(Matlab program based on the location problem, the use of Freud algorithm, can be arbitrarily added or modified sites, the results obtained through the weighted optimal solution.)
- 2011-05-17 01:35:44下载
- 积分：1
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detection-of-vehicle-movement
matlab图像分割实例，检测运动汽车，割调用库函数实现，带注释，简单易懂；(matlab image segmentation example, detection of vehicle movement, cutting call the library functions, with comments, easy to understand )
- 2010-06-23 17:29:46下载
- 积分：1
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watermark
说明： 基于DCT变换的数字水印实现，实现可数字水印的嵌入和提取，是MATLAB7.0环境下开发的( Itisa )
- 2010-04-03 16:52:46下载
- 积分：1
