The result is an IS-95CDMA forward link software simulation package ,which mimics real-time data communication from a basestation to a cellular unit. The package simulates an IS-95CDMA forward link cellular system consisting of 3 major components:Transmitter, Communication Channel and Receiver.
標(biāo)簽： simulation real-time software forward
上傳時(shí)間： 2016-03-14
上傳用戶(hù)：大融融rr
基于OFDM的無(wú)線寬帶系統(tǒng)仿真It contains mainly two parts, i.e. link-level simulator and system-level simulator. Link-level simulator focus on a single-cell single-user scenario, where signal is transmitted from tx, and estimated at rx. Comparing the difference in tx/rx signal, the error rate can be found out. The output of the link-level simulator is the BLER/BER vs. SNR mapping table, that can be used for the system-level simulation. System-level simulator focus on a multi-cell multi-user scenario. For the sake of simplicity, it takes the mapping table aquired in the link-level simulation, measure the actural SNR, and finds the corresponding error rate.
標(biāo)簽： simulator i.e. system-level link-level
上傳時(shí)間： 2016-03-15
上傳用戶(hù)：xsnjzljj
This packet is a IS-95 baseband simulation for 1 data channel of 9.6 KBps rate. The simulation is written for static channel and AWGN noise. The packet include: 1) Packet Builder (Viterbi Encoding, Interleaver, PN generation) 2) Modulator (RRC filter) 3) Demodulator (Matched Filter, RAKE receiver) 4) Receiver (HD or SD) (Deinterleaver, Viterbi Decoder).
標(biāo)簽： simulation baseband channel packet
上傳時(shí)間： 2014-12-20
上傳用戶(hù)：ukuk
The program md.f implements a simple molecular dynamics simulation in continuous real space. The velocity Verlet algorithm is used to implement the time stepping. The force and energy computations are performed in parallel, as is the time integration. (The program uses some Fortran90 features, so an F90 compiler may be needed.)
標(biāo)簽： implements continuous simulation The
上傳時(shí)間： 2016-04-03
上傳用戶(hù)：zhaiye
D-S.Kim, Y.S.Lee, W.H.Kwon, and H.S.Park, "Maximum Allowable Delay Bounds in Networked Control Systems", Control Engineering Practice (Elsvier Science) (Simulation Example - Matlab Code), PP.1301-1313, Vol.11, Issue 11, December, 2003
標(biāo)簽： Allowable Networked Control Maximum
上傳時(shí)間： 2016-04-10
上傳用戶(hù)：lifangyuan12
H.S.Park, D-S.Kim, and W.H.Kwon "A Scheduling Method for Network-based Control Systems", IEEE Transaction on Control System Technology, Vol.10, No.3, pp. 318-330, May, 2002 (Simulation Example 1- Matlab Code)
標(biāo)簽： Network-based Scheduling Control Systems
上傳時(shí)間： 2014-01-20
上傳用戶(hù)：cainaifa
A new PLL topology and a new simplified linear model are presented. The new fractional-N synthesizer presents no reference spurs and lowers the overall phase noise, thanks to the presence of a SampleJHold block. With a new simulation methodology it is possible to perform very accurate simulations, whose results match closely those obtained with the linear PLL model developed.
標(biāo)簽： new fractional-N synthesizer simplified
上傳時(shí)間： 2016-04-14
上傳用戶(hù)：hjshhyy
The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application. For details, please refer to Rao-Blackwellised Particle Filtering for Fault Diagnosis and On Sequential Simulation-Based Methods for Bayesian Filtering After downloading the file, type "tar -xf demo_rbpf_gauss.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab and run the demo.
標(biāo)簽： filtering particle Blackwellised conditionall
上傳時(shí)間： 2014-12-05
上傳用戶(hù)：410805624
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.
標(biāo)簽： Rauch-Tung-Striebel algorithm smoother which
上傳時(shí)間： 2016-04-15
上傳用戶(hù)：zhenyushaw
M-file uses random data which BPSK modulates a carrier to configure a BPSK UWB transmitter. The receiver demodulates the BPSK UWB carrier and the data is recovered
標(biāo)簽： BPSK transmitter configure modulates
上傳時(shí)間： 2016-04-24
上傳用戶(hù)：haoxiyizhong
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