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Capacity_and_Channel
Capacity_and_Channel for mimo channel
- 2009-01-22 10:49:16下载
- 积分：1
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Classification_toolbox
matlab 的最新工具包，包括遗传算法，粒子群算法，总之 与现代优化算法一书中较为匹配(MATLAB tool box )
- 2014-10-11 10:29:44下载
- 积分：1
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MFCC2par
声纹识别，MFCC特征参数提取，Matlab代码(MFCC )
- 2016-08-19 00:23:30下载
- 积分：1
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subspace_iteration
matlab程序，子空间迭代法求固有频率及阵型(subs_iteration method to get frequency and mode shape)
- 2016-12-02 16:41:39下载
- 积分：1
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GetAccurate
对分类结果的精确度的统计，得出分类结果是否符合要求(The results of the classification accuracy of the statistics, the classification results obtained whether it meets the requirements)
- 2008-05-29 16:53:50下载
- 积分：1
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mri
说明： 这个是一款非常有意思的MRI 的例子程序 主要是用来告诉你如何进行最简单的三维重建(This is a very interesting example of MRI procedures are primarily intended to show you how simple three-dimensional reconstruction)
- 2011-04-03 13:27:28下载
- 积分：1
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SERBER
说明： 用matlab 是实现qpsk的方针算法，并计算方针和理论的符号错误率和比特错误率~~请大家指正(Qpsk with matlab is to achieve the policy algorithm, and calculate the principle and theory of symbol error rate and bit error rate ~ ~ please correct me)
- 2010-04-24 09:56:45下载
- 积分：1
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NewK-means-clustering-algorithm
说明： 珍藏版，可实现，新K均值聚类算法，分为如下几个步骤：
一、初始化聚类中心
1、根据具体问题，凭经验从样本集中选出C个比较合适的样本作为初始聚类中心。
2、用前C个样本作为初始聚类中心。
3、将全部样本随机地分成C类，计算每类的样本均值，将样本均值作为初始聚类中心。
二、初始聚类
1、按就近原则将样本归入各聚类中心所代表的类中。
2、取一样本，将其归入与其最近的聚类中心的那一类中，重新计算样本均值，更新聚类中心。然后取下一样本，重复操作，直至所有样本归入相应类中。
三、判断聚类是否合理
采用误差平方和准则函数判断聚类是否合理，不合理则修改分类。循环进行判断、修改直至达到算法终止条件。(NewK-means clustering algorithm ，Divided into the following several steps:
A, initialize clustering center
1, according to the specific problems, from samples with experience selected C a more appropriate focus the sample as the initial clustering center.
2, with former C a sample as the initial clustering center.
3, will all samples randomly divided into C, calculate the sample mean, each the sample mean as the initial clustering center.
Second, initial clustering
1, according to the sample into the nearest principle clustering center represents the class.
2, as this, take the its recent as clustering center of that category, recount the sample mean, update clustering center. And then taking off, as this, repeated operation until all samples into the corresponding class.
Three, judge clustering is reasonable
Adopt error squares principles function cluster analysis.after clustering whether reasonable, no reasonable criterion revisio)
- 2011-04-06 20:45:56下载
- 积分：1
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snoringanalysis
基于短时傅里叶变换的对鼾声信号进行分析，可以计算一些判断OSAHS的指标。(snoring analysis based on STFT)
- 2012-05-22 19:47:05下载
- 积分：1
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2
说明： 数字基带信号的波形和功率谱密度绘制 和二进制基带脉冲成形及眼图的绘制(Waveform and power spectral density of digital baseband signal and Binary baseband pulse shaping and eye drawing)
- 2020-05-02 15:46:27下载
- 积分：1
