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With the Interference-to-noise ratio reduced to 30 dB, plot the adaptive antenna pattern after 200 iterations of the LMS algorithm
標(biāo)簽： Interference-to-noise the adaptive antenna
上傳時間： 2014-01-27
上傳用戶：zyt
Peak Signal to Noise Ratio
標(biāo)簽： Signal Noise Ratio Peak
上傳時間： 2015-10-07
上傳用戶：tb_6877751
Given signal-to-noise ratio and bit error rate performance curve is a good beginner s reference program.
標(biāo)簽： signal-to-noise performance reference beginner
上傳時間： 2014-01-11
上傳用戶：zhaiyanzhong
calculates the signal to noise ratio in each subchannel in DMT.
標(biāo)簽： calculates subchannel signal noise
上傳時間： 2015-10-30
上傳用戶：13188549192
computes the shortening-signal-to-noise ratio in dB,tail energy in dB and the effective channel impulse response
標(biāo)簽： shortening-signal-to-noise the effective computes
上傳時間： 2015-10-30
上傳用戶：libinxny
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(biāo)簽： requirement According exercise finished
上傳時間： 2014-01-06
上傳用戶：zhangyigenius
The software is capable to simulate space time code [1] for QPSK modulation using different number of state. Examples of generator matrix up to 256 stetes are provided. Variable signal to noise ratio (SNR) might be applied to produce bit error rate (BER) or frame error rate (FER) curves.
標(biāo)簽： modulation different software simulate
上傳時間： 2014-01-22
上傳用戶：qq1604324866
The ever-increasing demand for private and sensitive data transmission over wireless net- works has made security a crucial concern in the current and future large-scale, dynamic, and heterogeneous wireless communication systems. To address this challenge, computer scientists and engineers have tried hard to continuously come up with improved crypto- graphic algorithms. But typically we do not need to wait too long to find an efficient way to crack these algorithms. With the rapid progress of computational devices, the current cryptographic methods are already becoming more unreliable. In recent years, wireless re- searchers have sought a new security paradigm termed physical layer security. Unlike the traditional cryptographic approach which ignores the effect of the wireless medium, physi- cal layer security exploits the important characteristics of wireless channel, such as fading, interference, and noise, for improving the communication security against eavesdropping attacks. This new security paradigm is expected to complement and significantly increase the overall communication security of future wireless networks.
標(biāo)簽： Communications Physical Security Wireless Layer in
上傳時間： 2020-05-31
上傳用戶：shancjb
A wireless communication network can be viewed as a collection of nodes, located in some domain, which can in turn be transmitters or receivers (depending on the network considered, nodes may be mobile users, base stations in a cellular network, access points of a WiFi mesh etc.). At a given time, several nodes transmit simultaneously, each toward its own receiver. Each transmitter–receiver pair requires its own wireless link. The signal received from the link transmitter may be jammed by the signals received from the other transmitters. Even in the simplest model where the signal power radiated from a point decays in an isotropic way with Euclidean distance, the geometry of the locations of the nodes plays a key role since it determines the signal to interference and noise ratio (SINR) at each receiver and hence the possibility of establishing simultaneously this collection of links at a given bit rate. The interference seen by a receiver is the sum of the signal powers received from all transmitters, except its own transmitter.
標(biāo)簽： Stochastic Geometry Networks Wireless Volume and II
上傳時間： 2020-06-01
上傳用戶：shancjb
Abstract: Specifications such as noise, effective number of bits (ENOB), effective resolution, and noise-free resolution inlarge part define how accurate an ADC really is. Consequently, understanding the performance metrics related to noise isone of the most difficult aspects of transitioning from a SAR to a delta-sigma ADC. With the current demand for higherresolution, designers must develop a better understanding of ADC noise, ENOB, effective resolution, and signal-to-noiseratio (SNR). This application note helps that understanding.
標(biāo)簽： ENOB 模數(shù)轉(zhuǎn)換器
上傳時間： 2013-10-16
上傳用戶：x18010875091
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