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1
说明: selective harmonics elimination
- 2010-07-05 14:53:53下载
- 积分:1
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New
new text doccument consists of patterns
- 2010-12-04 02:55:35下载
- 积分:1
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u
说明: 基于正态分布的最小错误率Bayes分类器(Minimum error rate Bayes classifier based on normal distribution)
- 2012-05-10 21:46:57下载
- 积分:1
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BER_APSK
16apsk通讯系统的信噪比与误码率计算并绘图(16APSK communications system signal to noise ratio and bit error rate calculation and mapping)
- 2008-12-11 18:13:27下载
- 积分:1
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MUsic
说明: 波达方向(DOA) 估计的基本问题就是确定同时处在空间某一区
域多个感兴趣的信号的空间位置(即多个信号到达阵列参考阵元的方
向角)。最早的也是最经典的超分辨率(DOA)估计算法是著名的多信号
分类(Multiple Signal Classification) 法,简称 MUSIC 算法,它是
一类经典的基于特征结构分析的空间谱估计方法。该算法利用了信号
子空间和噪声子空间的正交性,构造空间谱函数,通过谱峰搜索,检测
信号的 DOA。(The basic problem of DOA estimation is to determine the simultaneous location in a certain region of space.
Spatial position of multiple interested signals in the domain (i.e. the direction of multiple signals reaching the array reference elements)
Directional angle). The earliest and most classical super-resolution (DOA) estimation algorithm is the well-known multi-signal.Multiple Signal Classification, referred to as MUSIC algorithm, is A classical spatial spectrum estimation method based on eigenstructure analysis. The algorithm utilizes signals.
The orthogonality of subspace and noise subspace, the construction of spatial spectral function, through peak search, detection DOA of signal.)
- 2021-04-22 22:38:48下载
- 积分:1
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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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the-third-homework
概率计算相关的matlab程序,应用了matlab的gui工具箱。(The probability calculation matlab program, the application of the toolbox of Matlab gui.)
- 2012-04-21 14:52:48下载
- 积分:1
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alamouti
This describes Alamouti coding in Genereal
- 2014-01-08 13:52:01下载
- 积分:1
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RPCA_matlab
RPCA,Robust PCA,matlab(RPCA,matlab,robust pca)
- 2017-03-23 17:06:09下载
- 积分:1
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gmm
一个在matlab环境下编写的采用expectation maximization方法计算高斯混合模型的程序。(One in the matlab environment prepared by the use of expectation maximization method GMM procedure.)
- 2007-10-30 01:41:30下载
- 积分:1