jWAP is a Java implementation of the Wireless Application Protocol (WAP). It includes Wireless Session Protocol (WSP) and Wireless Transaction Protocol (WTP). Additionally, jWAP contains a WAP Binary XML (WBXML) Parser/Generator. It requires Java >= 1.2.
标签： Wireless implementation Application Protocol
上传时间： 2016-09-17
上传用户：chens000
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
标签： equivalent likelihood algorithm Sejnowski
上传时间： 2016-09-17
上传用户：Altman
不需要做任何修改的lex-yacc的demo，可以在parser generator或lex-bison下成功运行
上传时间： 2016-10-09
上传用户：cccole0605
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 m file simulates a differential phase shift keyed (DPSK) ultra wide bandwidth(UWB) system using a fifth derivative waveform equation of a Gaussian pulse.
标签： differential bandwidth simulates system
上传时间： 2014-01-03
上传用户：784533221
model OF the OFDM communication in simulink. And I was successful in completing it using a Bernoulli binary generator as the input source (Basic_OFDM.mdl).
标签： communication completing successful Bernoulli
上传时间： 2014-01-10
上传用户：13188549192
完全的二维数值积分程序 给出自变量和函数值的矩阵，便可以计算其二重积分。这里采用simpson积分法 比matlab自带的dblquad好用多了，霍霍！ 同时附有口径场用Gaussian-Lagurrer函数展开程序
上传时间： 2014-01-08
上传用户：xc216
This function calculates Akaike s final prediction error ％ estimate of the average generalization error. ％ ％ [FPE,deff,varest,H] = fpe(NetDef,W1,W2,PHI,Y,trparms) produces the ％ final prediction error estimate (fpe), the effective number of ％ weights in the network if the network has been trained with ％ weight decay, an estimate of the noise variance, and the Gauss-Newton ％ Hessian. ％
标签： generalization calculates prediction function
上传时间： 2014-12-03
上传用户：maizezhen
This function calculates Akaike s final prediction error ％ estimate of the average generalization error for network ％ models generated by NNARX, NNOE, NNARMAX1+2, or their recursive ％ counterparts. ％ ％ [FPE,deff,varest,H] = nnfpe(method,NetDef,W1,W2,U,Y,NN,trparms,skip,Chat) ％ produces the final prediction error estimate (fpe), the effective number ％ of weights in the network if it has been trained with weight decay, ％ an estimate of the noise variance, and the Gauss-Newton Hessian. ％
标签： generalization calculates prediction function
上传时间： 2016-12-27
上传用户：脚趾头
The exercise should be finished in English. 2. According to Prof. Zhang s requirement, this exercise mainly focuses on the BER performance of some wireless communication system using specific coding and modulation type through the AWGN channel. Signal-to-Noise ration (SNR) varies from 5dB to 20dB.
标签： requirement According exercise finished
上传时间： 2014-01-06
上传用户：zhangyigenius
