How to use the TWI bus With a AVR cpu
上传时间： 2016-04-13
上传用户：songnanhua
How to use the TWI bus With a AVR cpu
上传时间： 2016-04-13
上传用户：lingzhichao
The program is written With Vc language,working for logon the net by dialing ,the is a release version.
标签： the language program dialing
上传时间： 2016-04-13
上传用户：jichenxi0730
DES/DES3 With operators of CBC and OFB
上传时间： 2016-04-14
上传用户：270189020
In this letter, the error performance of an ultra-wideband (UWB) system With a hybrid pulse amplitude and position modulation (PAPM) scheme over indoor lognormal fading channels is analyzed. In the PAPM UWB system, input data is modulated onto both the pulse amplitudes and pulse positions.
标签： ultra-wideband performance amplitud letter
上传时间： 2014-01-08
上传用户：yulg
With the De-Yi Li academician s data field theory, creating a single point of data field
标签： field data academician creating
上传时间： 2016-04-15
上传用户：xc216
In this demo, I use the EM algorithm With a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation With Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries With error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
标签： Rauch-Tung-Striebel algorithm smoother which
上传时间： 2016-04-15
上传用户：zhenyushaw
ARM JTAG Debugger With circuit
标签： Debugger circuit JTAG With
上传时间： 2016-04-15
上传用户：ccclll
The LM628/LM629 are dedicated motion-control processors designed for use With a variety of DC and brushless DC servo motors
标签： motion-control processors dedicated designed
上传时间： 2014-01-23
上传用户：aa17807091
This demo nstrates how to use the sequential Monte Carlo algorithm With reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (With par.doPlot=1) and modify the simulation parameters.
标签： sequential reversible algorithm nstrates
上传时间： 2014-01-18
上传用户：康郎
