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QPSKwithmatlabcode
是关于QPSK的一篇文章,对研究QPSK很有帮助的(Is an article on the QPSK, QPSK useful for research)
- 2008-05-08 21:45:09下载
- 积分:1
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melbankm1
For finding the MFCC coefficients this is coded easily
- 2011-12-25 18:36:43下载
- 积分:1
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MATLAB
精通MATLAB综合辅导与指南例程,详细的教学,详尽的例子,学习的好工具(Proficient in MATLAB routine comprehensive counseling and guidance and detailed instruction, detailed examples, a good tool for learning)
- 2007-11-03 15:47:20下载
- 积分:1
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UltraSonic_M_Echo_sin
在matlab上对复倒谱回波检测系统的仿真,可由此对管道质量经行检测
(In matlab Complex Cepstrum of echo detection system simulation, which can the quality of the pipeline by the line detection)
- 2008-05-17 12:30:34下载
- 积分:1
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KnapsackProblem
这是用MATLAB编写的模拟退火算法求解背包问题的程序(This is prepared using MATLAB algorithm simulated annealing procedure for Knapsack Problem)
- 2009-06-28 16:56:24下载
- 积分:1
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synchronization_base_event
利用platformbuild编译调试,介绍的是用事件消息处理同步事件的程序(Use platformbuild compiler debugging, the introduction is a synchronous event message handling procedures for incident)
- 2008-07-31 13:10:53下载
- 积分:1
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IVA
独立向量分析(IVA)是对独立成分分析(ICA)算法的一种扩展,将ICA中的单变量成分扩展为多维变量成分,可有效避免卷积盲源分离过程中的排序模糊性问题。(Independent vector analysis (IVA), a multivariate extension of independent component analysis, tackles the convolutedly mixed blind
source separation (BSS) problem in a way to avoid the permutation
problem by employing a multivariate source prior of the short-time
Fourier transform (STFT) components. )
- 2020-12-05 09:29:26下载
- 积分:1
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MRTD2D_TE_COIF
基于2阶消失矩的Coifman小波基函数的2维MRTD电磁散射正演模型,吸收边界为PML。(Based on 2 vanishing moments of the Coifman wavelet function of 2-D MRTD forward model of electromagnetic scattering, absorbing boundary for the PML.)
- 2011-10-28 10:29:06下载
- 积分:1
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senting_v69
MIMO OFDM matlab仿真,基于多相结构的信道化接收机,最小二乘回归分析算法。( MIMO OFDM matlab simulation, Channelized receiver based on multi-phase structure, Least-squares regression analysis algorithm.)
- 2016-12-13 11:42:03下载
- 积分:1
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svm测试
matlab 自带svm的测试, 用设置的数据简单测试svmtrain函数和svmclassify函数,并用图明确表示,自测结果正确,适合初学者(Matlab is equipped with SVM test, and the svmtrain function and svmclassify function are simply tested with the set data, and the figure clearly indicates that the self-test result is correct and suitable for beginners)
- 2018-08-21 14:46:32下载
- 积分:1