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A DISTRIBUTED COMPRESSED SENSING APPROACH FOR SPEECH SIGNAL DENOISING

Journal of Electronics(China) 2011年第4期28卷 509-517页

作者： Ji Yunyun Yang Zhen College of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts ＆ Telecommunications Nanjing 210003 China

Compressed sensing,a new area of signal processing rising in recent years,seeks to minimize the number of samples that is necessary to be taken from a signal for precise *** precondition of compressed sensing theory is the sparsity of *** this paper,two methods to estimate the sparsity level of the signal are *** then an approach to estimate the sparsity level directly from the noisy signal is ***,a scheme based on distributed compressed sensing for speech signal denoising is described in this work which exploits multiple measurements of the noisy speech signal to construct the block-sparse data and then reconstruct the original speech signal using block-sparse model-based Compressive Sampling Matching Pursuit(CoSaMP) *** simulation results demonstrate the accuracy of the estimated sparsity level and that this de-noising system for noisy speech signals can achieve favorable performance especially when speech signals suffer severe noise.

关键词： Distributed compressed sensing Sparsity estimation Speech signal Denoising

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Secret and reliable coding mechanism for noncoherent multisource network coding

Secret and reliable coding mechanism for noncoherent multiso...

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IEEE International Conference on communication Software and networks

作者： Chen, Siguang Wu, Meng Lu, Weifeng Jin, Yi College of Computer Science Nanjing University of Posts and Telecommunications Nanjing China College of Telecommunications and Information Engineering Nanjing Univ. of Posts and Telecommunications Nanjing China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education China College of Informatics and Electronics Zhejiang Sci-Tech University Hangzhou China

ISBN: (纸本)9781612844855

This work considers the communication scenario where multiple sources transmit information to one or more receivers and these receivers request the information from all the sources. We construct a secret and reliable coding mechanism for noncoherent multisource network coding by extending the work [9, 10] to multisource case. Although the network scenario suffers from an adversary that can re-select the tapping links in different time slot and inject z erroneous packets into network, and the transmission links suffer from a packet erasures, our scheme can retrieve the original information secretly and accurately from the corrupt and deficient information. Meanwhile, the secret and reliable multisource network coding scheme can obtain an asymptotic achievable rate of k2z3. © 2011 IEEE.

关键词： network coding

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The Failover Performance of Multimedia Transporting by SCTP

The Failover Performance of Multimedia Transporting by SCTP

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International Conference on Wireless communications, networking and Mobile Computing (WiCom)

作者： Wen-Nai Wang Mei Peng Fang-Fang Tang Jing-Ling Zhu Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications) Ministry of Education Nanjing China School of Comm. and Inform. Engg. Nanjing Univ. Posts and Telecomm. China

The Stream Control Transmission Protocol (SCTP) which provides multihoming at transport layer has been extended recently for multimedia streaming and vertical handover. However, failure recover control is still in design to meet real-time multimedia services. In this paper, we investigate experimentally the performance of SCTP's failover and fail-recover relying on an open source platform. The result shows that in stream transporting by lksctp module, the failover completed time distributes within 63 to 70 seconds, and the fail-recover with 0 to 25 seconds. It is also found that fail-recover time is strongly correlated with SCTP Heartbeat events.

关键词： Multimedia communication Streaming media Servers Switches Real time systems Protocols Heart beat

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Spectrum sensing for cognitive OFDM system using free probability theory

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Journal of Information and Computational Science 2011年第10期8卷 1847-1859页

作者： Wang, Lei Zheng, Baoyu Cui, Jingwu Meng, Qingmin Institute of Signal Processing and Transmission Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education China

Free probability theory as a main branch of random matrix theory is a valuable tool for describing the asymptotic behavior of multiple systems, especially for those with large random matrices. In this paper, by using free probability theory, a new spectrum sensing scheme for cognitive OFDM system is proposed, which shows how asymptotic free behavior of random matrices and the property of Wishart distribution can be used to assist spectrum sensing for cognitive radios in such scenario. Simulation results show that the proposed scheme has a better detection performance than the energy detection technique and the maximum-minimum eigenvalue scheme even for the case of a small sample of observations. © 2011 by Binary Information Press.

关键词： Cognitive radio

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COOPERATIVE WIDEBAND SPECTRUM SENSING BASED ON SEQUENTIAL COMPRESSED SENSING

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Journal of Electronics(China) 2011年第3期28卷 313-319页

作者： Gu Bin Yang Zhen Hu Haifeng Institute of Signal Processing and Transmission Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China

Compressed sensing offers a new wideband spectrum sensing scheme in Cognitive Radio (CR). A major challenge of this scheme is how to determinate the required measurements while the signal sparsity is not known a priori. This paper presents a cooperative sensing scheme based on se-quential compressed sensing where sequential measurements are collected from the analog-to-information converters. A novel cooperative compressed sensing recovery algorithm named Simul-taneous Sparsity Adaptive Matching Pursuit (SSAMP) is utilized for sequential compressed sensing in order to estimate the reconstruction errors and determinate the minimal number of required meas-urements. Once the fusion center obtains enough measurements, the reconstruction spectrum sparse vectors are then used to make a decision on spectrum occupancy. Simulations corroborate the effec-tiveness of the estimation and sensing performance of our cooperative scheme. Meanwhile, the per-formance of SSAMP and Simultaneous Orthogonal Matching Pursuit (SOMP) is evaluated by Mean-Square estimation Errors (MSE) and sensing time.

关键词： Cognitive Radio (CR) Wideband spectrum sensing Sequential compressed sensing Matching pursuit

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Wavelet-analysis based file-sharing P2P traffic prediction algorithm

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content technology and its Applications 2011年第6期5卷 46-54页

作者： Wu, Min Wang, Ruchuan Han, Zhijie College of Computer Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing Jiangsu 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Jiangsu Province Nanjing Jiangsu 210003 China

The increasing P2P network traffic on the Internet has leaded to the problem of network congestion. In the consequence of the diversification of the P2P business and protocol, research on the management of P2P traffic has many problems to resolve. Prediction of the P2P traffic is the kernel problem in the P2P traffic management. Based on the existed P2P traffic characters, this paper structures a P2P traffic model, gives a traffic prediction algorithm bases on wavelet-analysis, and proves the accuracy of the algorithm. Simulation experiment figures that the algorithm has a high prediction precision and a superior real-time performance.

关键词： Wavelet analysis

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TWO-WAY DENOISE-AND-FORWARD network CODING OPPORTUNISTIC RELAYING AIMING AT MINIMIZING EUCLIDEAN DISTANCE IN MULTI-ACCESS PHASE

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Journal of Electronics(China) 2011年第4期28卷 433-443页

作者： Jia Xiangdong Yang Longxiang Shao Shixiang Wireless Communications Key Lab of Jiangsu Province Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China College of Mathematics and Information Science Northwest Normal University Lanzhou 730070 China

To exploit the effect of modulation schemes on the best relay selection,a novel Jointing Modulation schemes max-min criterion(JM-max-min) is proposed firstly for Two-Way De-Noise-and-Forward(DNF) Opportunistic Relaying systems(TW-DNF-OR) by aiming at minimizing the Pairwise Error Probability(PEP) of Multi-Access(MA) phase which dominates the error per-formance of TW-DNF-OR due to the presence of MA *** proposed JM-max-min criterion integrates perfectly the minimum distances of constellations and the relay links ***,with the proposed JM-max-min criterion,we analyze the Symbol Error Probabilities(SEPs) of MA phase and BroadCast(BC) phase by using the approximated mathematics analysis,and present the corresponding closed-form expressions to *** numerical analysis shows,for a given modulations combination at both sources,the TW-DNF-OR systems with the proposed JM-max-min criterion outperform the one with the conventional max-min criterion.

关键词： Cooperative communications Opportunistic relaying network coding Max-min crite-rion

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The wireless sensor network localization algorithm based on improved pattern genetic algorithm

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Journal of Computational Information Systems 2011年第9期7卷 3031-3038页

作者： Huang, Haiping Cai, Qiwang Wang, Ruchuan She, Baoyang Ma, Yujing College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 210016 China

Localization is one of the important technical issues of wireless sensor networks. Based on the traditional genetic algorithm applied in node localization, this paper introduces pattern search algorithm for the selection of population, meanwhile, genetic operators are designed. The theoretical analysis and simulation results show that, even though the proportion of anchor nodes and network connectivity is poor, and distance measurements are corrupted by Gaussian noise, the improved algorithm achieves high accuracy. Thus, it can be applied to most large-scale wireless sensor networks for node localization. © 2005 by Binary Information Press.

关键词： Genetic algorithms

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A distributed compressed sensing approach for speech signal denoising

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Journal of Electronics 2011年第4期28卷 509-517页

作者： Ji, Yunyun Yang, Zhen College of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China Nanjing University of Posts and Telecommunications Nanjing 210006 No. 66 Xinmofan Road P. O. Box 214 China

Compressed sensing, a new area of signal processing rising in recent years, seeks to minimize the number of samples that is necessary to be taken from a signal for precise reconstruction. The precondition of compressed sensing theory is the sparsity of signals. In this paper, two methods to estimate the sparsity level of the signal are formulated. And then an approach to estimate the sparsity level directly from the noisy signal is presented. Moreover, a scheme based on distributed compressed sensing for speech signal denoising is described in this work which exploits multiple measurements of the noisy speech signal to construct the block-sparse data and then reconstruct the original speech signal using block-sparse model-based Compressive Sampling Matching Pursuit (CoSaMP) algorithm. Several simulation results demonstrate the accuracy of the estimated sparsity level and that this denoising system for noisy speech signals can achieve favorable performance especially when speech signals suffer severe noise. © 2011 Science Press, Institute of Electronics, CAS and Springer-Verlag Berlin Heidelberg.

关键词： Denoising Distributed compressed sensing Sparsity estimation Speech signal

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Two-way denoise-and-forward network coding opportunistic relaying aiming at minimizing euclidean distance in multi-access phase

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Journal of Electronics 2011年第4期28卷 433-443页

作者： Jia, Xiangdong Yang, Longxiang Shao, Shixiang Wireless Communications Key Lab of Jiangsu Province Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China College of Mathematics and Information Science Northwest Normal University Lanzhou 730070 China Nanjing University of Posts and Telecommunications Nanjing 210003 Box 188 No. 66 Xinmofan Road China

To exploit the effect of modulation schemes on the best relay selection, a novel Jointing Modulation schemes max-min criterion (JM-max-min) is proposed firstly for Two-Way De-Noise-and-Forward (DNF) Opportunistic Relaying systems (TW-DNF-OR) by aiming at minimizing the Pairwise Error Probability (PEP) of Multi-Access (MA) phase which dominates the error performance of TW-DNF-OR due to the presence of MA interference. The proposed JM-max-min criterion integrates perfectly the minimum distances of constellations and the relay links gains. Then, with the proposed JM-max-min criterion, we analyze the Symbol Error Probabilities (SEPs) of MA phase and BroadCast (BC) phase by using the approximated mathematics analysis, and present the corresponding closed-form expressions to SEPs. The numerical analysis shows, for a given modulations combination at both sources, the TW-DNF-OR systems with the proposed JM-max-min criterion outperform the one with the conventional max-min criterion. © 2011 Science Press, Institute of Electronics, CAS and Springer-Verlag Berlin Heidelberg.

关键词： Cooperative communications Max-min criterion network coding Opportunistic relaying

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