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Overview_of_Ofdm.pdf
Overview on OFDM, describes the OFDM system and parameters and basic concepts on OFDM techniques.
- 2010-08-20 22:42:57下载
- 积分：1
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pre_digital_distortion
pre_distrion源程序，smilink源程序，可以对初学者有一定的帮助。(pre_distrion source, smilink source, can be helpful for beginners.)
- 2011-02-11 10:15:46下载
- 积分：1
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OFDM_10G_transmiter
matlab 代码实现的ＯＦＤＭ发射机，matlab 代码实现的ＯＦＤＭ发射机(OFDM orthogonal frequency division multiplexing)
- 2011-05-24 20:35:24下载
- 积分：1
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distmesh-demo
代码工具箱distmesh的示例代码，里面例子很全注释很详细(Code toolbox distmesh sample code, the example of the full annotation is very detailed)
- 2018-03-05 19:50:38下载
- 积分：1
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半监督算法和测试数据集
说明： 一种基于最小类间距的半监督聚类算法，内含注释和测试数据集(a Semi-supervised clustering algorithm based on
Single linkage clustering)
- 2021-03-28 23:43:09下载
- 积分：1
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disp
This is an Assembly language code for a basic screen saver for a computer.
- 2014-10-16 04:24:16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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SSBerouti79
一个经典减谱法的源程序，适合刚学习语音增强内容的人使用(A classic spectral subtraction of the source, for just learning the content of people to use speech enhancement)
- 2010-05-24 22:32:31下载
- 积分：1
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shuju.xls
性指标的价值函数达到最小。FCM与HCM的主要区别在于FCM用模糊划分，使得每个给定数据点用值在0，1间的隶属度来确定其属于各个组的程度。与(indicators of the value of minimizing function. HCM FCM with the main difference is fuzzy FCM, broken down to make each set of data points with the value 0, one of the membership to determine its belong to the group level. And)
- 2007-06-15 15:58:01下载
- 积分：1
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Lightout
In this we analyze the light out game with matlab.(Linear Algebra analyzing on Lights Out Game )
- 2014-01-06 06:49:49下载
- 积分：1
