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.
標簽： Wireless implementation Application Protocol
上傳時間： 2016-09-17
上傳用戶：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.
標簽： equivalent likelihood algorithm Sejnowski
上傳時間： 2016-09-17
上傳用戶：Altman
不需要做任何修改的lex-yacc的demo，可以在parser generator或lex-bison下成功運行
上傳時間： 2016-10-09
上傳用戶：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
標簽： convolutional simulating encoder encoded
上傳時間： 2013-12-21
上傳用戶：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.
標簽： differential bandwidth simulates system
上傳時間： 2014-01-03
上傳用戶：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).
標簽： communication completing successful Bernoulli
上傳時間： 2014-01-10
上傳用戶：13188549192
完全的二維數(shù)值積分程序 給出自變量和函數(shù)值的矩陣，便可以計算其二重積分。這里采用simpson積分法 比matlab自帶的dblquad好用多了，霍霍！ 同時附有口徑場用Gaussian-Lagurrer函數(shù)展開程序
上傳時間： 2014-01-08
上傳用戶：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. ％
標簽： generalization calculates prediction function
上傳時間： 2014-12-03
上傳用戶：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. ％
標簽： generalization calculates prediction function
上傳時間： 2016-12-27
上傳用戶：腳趾頭
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.
標簽： requirement According exercise finished
上傳時間： 2014-01-06
上傳用戶：zhangyigenius
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