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six-digital-modulation-recognition
该文件夹内用Matlab程序详细阐述了六种数字调制识别技术,希望对大家有所帮助(The folder with Matlab program elaborated six digital modulation recognition technology, we hope to help
)
- 2015-01-14 18:51:02下载
- 积分:1
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roc
在信号检测与估计中利用roc曲线更加的使我们易于理解。利用matlab编写了roc曲线(Use roc curve signal detection and estimation makes us more easily understood. Roc curve prepared using matlab)
- 2021-03-31 23:19:08下载
- 积分:1
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DTC_22MAS12
this simulationto make table
- 2014-02-23 19:52:43下载
- 积分:1
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jiujiu
语音信号分析与处理及其MATLAB实现,语音信号处理(Speech Signal Analysis and Processing and MATLAB realize, voice signal processing)
- 2008-07-02 11:10:42下载
- 积分:1
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chap2
说明: smith预估控制算法的MATLAB程序实现(smith predictor control algorithm MATLAB program realization)
- 2011-03-13 13:14:33下载
- 积分:1
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MelSpectrum
Find the mel spectrum in voice recognition system
- 2011-12-06 14:43:33下载
- 积分:1
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chapter12
Matlab simulink 通信系统建模与仿真一书中MIMO系统仿真的m源代码(mimo simulation )
- 2013-05-02 23:17:08下载
- 积分:1
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sindiophantineandmultidiophantine
matlab单步丢番图方程与多步丢番图方程源码(code for sindiophantine and multidiophantine)
- 2012-12-04 12:21:56下载
- 积分:1
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PSOdemonstr
微粒群的二维演示,pso_2D,对初学者有一定的帮助!!!!!(Two-dimensional demonstration of particle swarm, pso_2D, must have for beginners help! ! ! ! !)
- 2009-04-04 14:38:38下载
- 积分:1
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anp
NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法,它是在网络分析法(AHP)基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个:
1 确定因素,并建立网络层和控制层模型。
2 创建比较矩阵。
3 按照指标类型针对每列进行规范化。
4 求出每个比较矩阵的最大特征值和对应的特征向量。
5 一致性检验。如果不满足,则调整相应的比较矩阵中的元素。
6 将各个特征向量单位化(归一化),组成判断矩阵。
7 将控制层的判断矩阵和网络层的判断矩阵相乘,得到加权超矩阵。
8 将加权超矩阵单位化(归一化),求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。
(NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following:
A determining factor, and a network layer and control layer model.
2 create a comparison matrix.
For each of the three types of indicators in accordance with normalized columns.
4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors.
5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements.
6 will each feature vector units of (normalized), to determine the composition of matrix.
7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix.
8 of the weighted super-matrix units of (normalized), seeking the powe)
- 2010-01-28 09:36:45下载
- 积分:1