This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks.
標(biāo)簽： performance likelihood decision feedback
上傳時(shí)間： 2013-11-25
上傳用戶：1079836864
This document contains official rules of the 3D soccer simulation competition at RoboCup 2006. While we will try to cover all cases, if unexpected events do occur, the rule committee will seek input from the participants and then make a decision. However, once the committee has made a decision, that decision is final and will not be open to further discussion
標(biāo)簽： competition simulation document contains
上傳時(shí)間： 2016-11-30
上傳用戶：zhengzg
ABC_FDTD_Die(T) Implements simulation of a Gaussian Pulse over T time steps. ABC are for free space. If boundaries are in the Dielectric medium then the ABC fail. Dielectric medium begin and end can be specified with the code
標(biāo)簽： ABC_FDTD_Die Implements simulation Gaussian
上傳時(shí)間： 2013-12-22
上傳用戶：caiiicc
ABC_FDTD_Die(T) Implements simulation of a Gaussian Pulse over T time steps. ABC are for free space. If boundaries are in the Dielectric medium then the ABC fail. Dielectric medium begin and end can be specified with the code
標(biāo)簽： ABC_FDTD_Die Implements simulation Gaussian
上傳時(shí)間： 2014-07-27
上傳用戶：LIKE
The NCTUns network simulator and emulator is developed at NCTU, Taiwan. Its predecessor is the Harvard network simulator (invented by Prof. S.Y. Wang in 1999). By using a novel simulation methodology, it can do several tasks that traditional network simulators cannot easily do.
標(biāo)簽： predecessor developed simulator emulator
上傳時(shí)間： 2014-12-02
上傳用戶：txfyddz
Quantization (signal processing) uniformly and non-uniformily using A and miu law od companding. simulation using simulink/matlab
標(biāo)簽： non-uniformily Quantization processing companding
上傳時(shí)間： 2014-11-30
上傳用戶：yan2267246
Single/Multipath Channel Model Verificaiton EbNo vs. BER/SER under AWGN BPSK vs. QPSK Theory vs. Simulation AWGN vs. Flat Fading Channel Most files are written by myself, enjoy it. Figures are attached.
標(biāo)簽： Verificaiton Multipath vs Channel
上傳時(shí)間： 2013-11-26
上傳用戶：hwl453472107
We simulate uncoded BER of BPSK modulated data as a function of SNR -in an AWGN channel -in a Rayleigh fading channel -in an AWGN channel when direct sequence spreading is used and compare results to the theoretical ones. We assume coherent receiver and perfect synchronization.
標(biāo)簽： modulated simulate function channel
上傳時(shí)間： 2014-01-11
上傳用戶：1109003457
A combined space鈥搕ime block coding (STBC) and eigen-space tracking (EST) scheme in multiple-input-multiple-output systems is proposed. It is proved that the STBC-EST is capable of shifting hardware complexity from the receiver to the transmitter without any bit error rate (BER) performance loss. A computation efficient EST algorithm is also proposed, which makes the STBC-EST affordable. Simulation results show that the STBC-EST with a modest feedback requirement results in a negligible BER performance loss compared with a dual system configuration.
標(biāo)簽： multiple-input-m eigen-space combined tracking
上傳時(shí)間： 2014-01-13
上傳用戶：磊子226
MATSNL is a package of MATLAB M-files for computing wireless sensor node lifetime/power budget and solving optimal node architecture choice problems. It is intended as an analysis and simulation tool for researchers and educators that are easy to use and modify. MATSNL is designed to give the rough power/ lifetime predictions based on node and application specifications while giving useful insight on platform design for the large node lifetime by providing side-by-side comparison across various platforms. The MATSNL code and manual can be found at the bottom of this page. A related list of publications describing the models used in MATSNL is posted on the ENALAB part of the 2 project at http://www.eng.yale.edu/enalab/aspire.htm
標(biāo)簽： computing lifetime wireless M-files
上傳時(shí)間： 2014-01-01
上傳用戶：lnnn30
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