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FFT
对采集的振动位移信号进行FFT频谱分析,并分窗PLOT显示(Vibration displacement signal acquisition FFT spectrum analysis and display of window PLOT)
- 2014-06-28 11:04:21下载
- 积分:1
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stdc_sim
计算神经网络学习过程中时间可塑性的依赖性的程序(compute time-dependant plastic)
- 2017-04-21 00:46:58下载
- 积分:1
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SVPWMshuchu
空间矢量脉宽调制(SVPWM)的波形的输出,方便大家更好的认识SVPWM的机理.(Space Vector Pulse Width Modulation (SVPWM) waveform of the output, to facilitate a better understanding of the mechanism of SVPWM.)
- 2009-07-02 16:02:32下载
- 积分:1
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jacobi
jacobi奇异值分解,matlab 用于利用矩阵填充和矩阵回复解决图像处理问题(the jacobi singular value decomposition)
- 2013-03-04 21:34:09下载
- 积分:1
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11
说明: matlab代码,实现DCT变换matlab代码,实现DCT变换(matlab code, DCT transform matlab code, DCT transform)
- 2012-12-03 10:44:53下载
- 积分:1
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2psk
关于2psk相关参数的matlab若干个编程
如 误码率的计算(Matlab on 2psk a number of related parameters such as bit error rate calculation program)
- 2010-10-19 23:19:37下载
- 积分:1
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mijuan
本程序用于根据报名信息对 试卷 根据题目进行加密 并生成明密,密明对照表.明密表 用于贴密号
(This procedure is used on the papers under the registration information is encrypted and generated according to specified topics close, close out table. Plain and form is used to paste in secret)
- 2010-10-30 23:35:29下载
- 积分:1
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problema4tarea5
This paper is a compilation of the book s problems Mitra digital signal processing 3 ed
- 2010-12-17 02:04:00下载
- 积分:1
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shortest
This code simulates Shortest Path Routing protocol that resides in network layer of a Network Architecture
- 2011-02-01 21:39:24下载
- 积分:1
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RVM_matlabToolBox
相关向量机(RVM)的matlab源程序,包含快速算法,内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型,对未知函数进行预测或分类。 优点: (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)
- 2013-11-21 11:05:48下载
- 积分:1