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concavefalt3
平凹腔激光模式计算程序,利用边界元方法计算,matlab编程!(concave cavity laser mode procedures, the use of the boundary element method, the Matlab programming!)
- 2006-07-03 19:39:42下载
- 积分:1
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ACPI
admam‘s自适应差值算法的matlab实现(bayer demosaicking algorithm ACPI
using matlab.
ACPI: adaptive color plane interplotation)
- 2011-10-23 13:55:45下载
- 积分:1
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AppliedNonlinearControlSlotine11
Applied Nonlinear Control
- 2010-07-13 21:51:07下载
- 积分:1
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random
产生一个随机数序列,具有高斯统计特征,可用于载波仿真。(create a random sequence with gaussian statistical features,which can be used in carrier wave stimulation
)
- 2010-11-23 10:32:47下载
- 积分:1
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WNN
说明: 小波神经网络源程序,在网上搜了好久才找到的,对初学者很有用处,希望大家喜欢(Neural network source code, search the Internet for a long time to find, and very useful for beginners, hope you like)
- 2011-03-08 11:34:51下载
- 积分:1
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LFM-t
适用于雷达方面学习的初学者熟悉相关参数设置了解相关线性调频信号离散化,匹配滤波的产生方法等一系列基本问题。比较时域和频域不通滤波方法的区别(Beginners apply to radar aspects of learning to understand familiar with the parameters related to the chirp signal discrete, matched filtering to produce a series of basic questions like. Comparison of time domain and frequency domain filtering method fails difference)
- 2015-07-11 12:04:27下载
- 积分:1
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lte5
lte code fore simulation with matlab
- 2013-08-24 20:45:25下载
- 积分:1
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4ary
4-PAM modulation format-optisystem
- 2015-01-15 23:33:37下载
- 积分:1
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lungbayesdemo
Title: "Modeling Lung Cancer Diagnosis Using Bayesian Network Inference"
This demo illustrates a simple Bayesian Network example for exact probabilistic inference using Pearl s message-passing algorithm.
Introduction:
Bayesian networks (or belief networks) are probabilistic graphical models representing a set of variables and their dependencies.
The graphical nature of Bayesian networks and the ability of describing uncertainty of complex relationships in a compact manner provide a method
for modelling almost any type of data.
- 2013-05-04 20:02:43下载
- 积分:1
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powerQualityHHT
电能质量扰动信号信号通过hilbert变换得到瞬时频率,瞬时幅值,hilbert谱,边际谱等重要特征,从而实现特征提取。(Power quality disturbance signals are obtained by hilbert transform to obtain instantaneous frequency, instantaneous amplitude, hilbert spectrum, marginal spectrum and other important features, in order to achieve feature extraction.)
- 2016-11-10 18:14:00下载
- 积分:1