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matlab
本文档记录了matlab的常用图像处理命令，通过学习，您可以掌握一些基本的图像处理技能。(This document records the common matlab image processing orders。through the study, you can master some basic image processing skills.)
- 2009-03-13 18:08:29下载
- 积分：1
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ModulationAMFMPM
AMplitude, Frecuency and Phase Modulation with Matlab
- 2009-07-06 00:12:10下载
- 积分：1
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PAM
This file shows simple pam code source on DTV Equalizer.
- 2009-07-16 10:15:00下载
- 积分：1
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func_Dtaylor
it s very useful to optimize filter and synthesize antenna arrays with low side lobe
- 2010-07-23 11:35:38下载
- 积分：1
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underwater
说明： 水声原理，超级经典水声学教材，学习必看，水声学基本理论(Acoustic principles, super classic acoustics materials, learning must see, the basic theory of acoustics)
- 2011-04-02 10:52:32下载
- 积分：1
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MATLAB-GUI-DESIGN
利用实例教会初学者MATLAB的GUI的设计过程，非常实用(Examples of the use of the church beginners MATLAB GUI design process, very practical)
- 2015-04-03 14:18:06下载
- 积分：1
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traffic_of_cross_street
基于Matlab的交通流及交叉口信号控制的仿真研究,找得硕士毕业论文，有做相关题目开发的同学可做参考(Matlab based on the traffic flow and intersection signal control simulation research, find a master s thesis, there are so related to the subject development of the students can refer to)
- 2008-12-31 09:04:10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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MATLAB7[1]jinronggongjuxiang
matalab一些关于金融的工具箱，希望能给大家共享(matalab about the financial toolbox, hope that I can share)
- 2011-05-09 11:53:27下载
- 积分：1
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MATLAB_Codes_for_Dimensionality_Reduction
数据降维工具箱，包括一些典型算法，例如pca，lle，mds，lda等。(Data dimensionality reduction tool kit, including some typical algorithms, such as the pca, lle, mds, lda, etc..)
- 2020-08-24 15:48:15下载
- 积分：1
