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FicaCPLX
说明： 包含seddle点检验功能的卷积FASTICA(Contains seddle point test function convolution FASTICA)
- 2010-03-22 22:26:14下载
- 积分：1
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featrue7
提取信号七个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。(extract information based on the instan eous features : In the center is one of the instantaneous rate of the power spectral density of the maximum, is a center to the absolute value of the instantaneous rate of the standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component absolute standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component standard deviation, In the center is one of the non-weak signal of the absolute value of the instantaneous frequency standard deviation, a signal to one of the instantaneous frequency of the power spectral density of the maximum, According to 16QAM and QPSK signals XI axis projection in the different performance parameters raised.)
- 2021-01-24 13:28:43下载
- 积分：1
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convexprog.tar
this is matlab code that perform convex optimization for several objective function types
- 2013-10-07 22:20:47下载
- 积分：1
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Machine-Learning
matlab code for Machine Learning with MATLAB
- 2015-02-03 15:33:11下载
- 积分：1
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Retrival_1
由HFSS仿出S11,S21并导出S11,S21的复数形式，利用matlab调用，就可以算了介电常数和磁导率(By S11, S21 calculate dielectric constant and magnetic conductivity
)
- 2020-11-06 18:29:50下载
- 积分：1
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Binary-GA
Binary Genetic algorithm program
- 2014-12-19 16:06:44下载
- 积分：1
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music
基于MUSIC方法功率谱估计的matlab仿真(MUSIC-based method of power spectrum estimation matlab simulation)
- 2009-06-01 15:49:13下载
- 积分：1
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EuDist2
快速求解欧几里得距离，线性时间就可以求解。(Quickly solve Euclid distance, can solve the linear time.)
- 2015-04-10 10:16:27下载
- 积分：1
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MyKmeans
实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。 缺点：产生类的大小相差不会很大，对于脏数据很敏感。 改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。 以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。(achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or))
- 2005-07-26 01:32:58下载
- 积分：1
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LDPC编码的BP译码算法的matlab程序
说明： LDPC编码的BP译码算法的matlab程序(Matlab Program of BP Decoding Algorithms for LDPC Coding)
- 2021-01-25 16:28:43下载
- 积分：1
