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Adaptive Bistable Stochastic Resonance Based Weak Signal Reception in Additive Laplacian Noise
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作者 Jin Liu Zan Li +1 位作者 Qiguang Miao Li Yang 《China Communications》 SCIE CSCD 2024年第1期228-241,共14页
Weak signal reception is a very important and challenging problem for communication systems especially in the presence of non-Gaussian noise,and in which case the performance of optimal linear correlated receiver degr... Weak signal reception is a very important and challenging problem for communication systems especially in the presence of non-Gaussian noise,and in which case the performance of optimal linear correlated receiver degrades dramatically.Aiming at this,a novel uncorrelated reception scheme based on adaptive bistable stochastic resonance(ABSR)for a weak signal in additive Laplacian noise is investigated.By analyzing the key issue that the quantitative cooperative resonance matching relationship between the characteristics of the noisy signal and the nonlinear bistable system,an analytical expression of the bistable system parameters is derived.On this basis,by means of bistable system parameters self-adaptive adjustment,the counterintuitive stochastic resonance(SR)phenomenon can be easily generated at which the random noise is changed into a benefit to assist signal transmission.Finally,it is demonstrated that approximately 8dB bit error ratio(BER)performance improvement for the ABSR-based uncorrelated receiver when compared with the traditional uncorrelated receiver at low signal to noise ratio(SNR)conditions varying from-30dB to-5dB. 展开更多
关键词 adaptive bistable stochastic resonance additive laplacian noise low signal to noise ratio uncorrelated reception scheme weak signal reception
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Different strategies for differentially private histogram publication 被引量:1
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作者 Xue Meng Hui Li Jiangtao Cui 《Journal of Communications and Information Networks》 2017年第3期68-77,共10页
Differential privacy is a strong notion for protecting individual privacy in data analysis or publication,with strong privacy guaranteeing security against adversaries with arbitrary background knowledge.A histogram i... Differential privacy is a strong notion for protecting individual privacy in data analysis or publication,with strong privacy guaranteeing security against adversaries with arbitrary background knowledge.A histogram is a representative and popular tool for data publication and visualization tasks.Following the emergence and development of data analysis and increasing release demands,protecting the private data and preventing sensitive information from leakage has become one of the major challenges for histogram publication.In recent years,many approaches have been proposed for publishing histograms with differential privacy.This paper explores the problem of publishing histograms with differential privacy,and provides a systematical summarization of existing research efforts in this field,begining with a discussion of the basic principles and characteristics of the technology.Furthermore,we provide a comprehensive comparison of a series of state-of-the-art histogram publication schemes.Finally,we provide possible suggestions for further expansions of future work in this area. 展开更多
关键词 differential privacy HISTOGRAM laplacian noise data publication accuracy UTILITY
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