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Cronometro
new timer system
- 2014-08-12 03:24:17下载
- 积分：1
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ERO
EEG event related Oscillations
- 2011-11-19 00:46:17下载
- 积分：1
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BP-Matlab
齿轮箱故障诊断BP模型的Matlab程序(Gearbox fault diagnosis of BP model Matlab program)
- 2020-07-01 03:20:02下载
- 积分：1
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FicaCPLX
说明： 包含seddle点检验功能的卷积FASTICA(Contains seddle point test function convolution FASTICA)
- 2010-03-22 22:26:14下载
- 积分：1
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Hand-Modeling-from-Surface-Anatomy
Palmprint Images Based on Diversity and Contrast is a good work which would be much helpful for the person who are all working in this area
- 2011-07-19 18:51:55下载
- 积分：1
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Space-Time-Wireless-Channels(Durgin)
学习信道建模的经典教材！尤其是对无线信道建模空时频特性进行仿真的一部重要书籍。(A classic learning textbook about wireless channel modeling!Especially it s an important book for the time-space and frequency characteristics of wireless channel modeling simulation .)
- 2015-03-22 18:07:24下载
- 积分：1
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evzedcnz
利用自然梯度算法，构成不同频率的调制信号，包含位置式PID算法、积分分离式PID，一些自适应信号处理的算法，包括最小二乘法、SVM、神经网络、1_k近邻法,使用起来非常方便，合成孔径雷达（SAR)目标成像仿真。( Use of natural gradient algorithm, Constituting the modulated signals of different frequencies, It contains positional PID algorithm, integral separate PID, Some adaptive signal processing algorithms, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Very convenient to use, Synthetic Aperture Radar (SAR) imaging simulation target.)
- 2016-03-30 20:15:51下载
- 积分：1
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OFDMmultipathfadingchannelmodeljakes
OFDM multipath fading channel model jakes
- 2008-03-29 14:26:05下载
- 积分：1
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work
matlab 关于association rule 的自己写的函数，有3个文件,
association.m：h = association(m, i, j)
i=>j, m是数据，h是support和confidence，该函数只适用于单个数据
ass_item: h=ass_itset(m, a, b)
同上，但是可用于多个数据（m为数组）
assrule: h = assrule(m, threshold1, threshold2)
该函数用于classification， 得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence
(matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data
ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix)
assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)
- 2009-12-15 02:51:44下载
- 积分：1
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AlejandroPAll
使用matlab进行gif图片的生成，可画函数图像以及不稳定流程，3种模式分别对应3种算法(Use matlab to generate a gif image, the image can be painted functions and unstable process, three modes corresponding to the three algorithms)
- 2015-07-19 00:16:29下载
- 积分：1
