Atmel MCU Timer design example for all of the user
标签: example design Atmel Timer
上传时间: 2016-10-30
上传用户:wangzhen1990
Multicast Algorithms for Multi-Channel Wireless Mesh Networks
标签: Multi-Channel Algorithms Multicast Wireless
上传时间: 2014-01-12
上传用户:as275944189
simulating a convolutional encoder allows the user to input a source code to be encoded and also input the values of the generator polynomials. It outputs the encoded data bits, where 1/n is the code rate
标签: convolutional simulating encoder encoded
上传时间: 2013-12-21
上传用户:253189838
This GUI can be used by entering nu at the MATLAB command prompt. The user can either select a function (f(x)) of their choice or a statistical distribution probability distribution function to plot over a user defined range. The function s integral can be evaluated over a user defined range by using: The composite trapezium, simpsons and gauss-legendre rules. This is useful for calculating accurate probabilities that one might see in statistical tables.
标签: can entering command MATLAB
上传时间: 2016-11-07
上传用户:偷心的海盗
Will perform 3D Gaussian quadrature over a user-defined volume. The volume is defined by the user with function definitions entered in the appropriate spaces provided on the GUI. The user can change the number of Gauss points to use. Function inputs need not accept vector args.
标签: volume user-defined quadrature Gaussian
上传时间: 2013-12-13
上传用户:417313137
RBFMIP is a package for training multi-instance RBF neural networks
标签: multi-instance networks training package
上传时间: 2014-01-23
上传用户:refent
BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously
标签: package multi-label includes networks
上传时间: 2013-12-05
上传用户:xsnjzljj
CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance representation
标签: multi-instance multi-insta adapting learning
上传时间: 2014-01-14
上传用户:manlian
This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox
标签: i.e. re-implementations multi-instance different
上传时间: 2013-12-19
上传用户:haohaoxuexi
This note introduces the two main user adjustments of a video monitor, BRIGHTNESS and CONTRAST . I explain the effect that these controls have on picture reproduction, and I explain how to set them. This note applies to computer monitors, studio video monitors, and television receivers.
标签: adjustments BRIGHTNESS introduces CONTRAST
上传时间: 2016-11-13
上传用户:xyipie