Neural networks can easily fall into a local extremum and have slow convergence rate. Quantum Genetic Algorithm (QGA) has features of small population size and fast convergence. Based on the investigation of QGA, we p...
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The unmanned nature of wirelesssensornetworks make them very vulnerable to the malicious attacks. Therefore, how to complete secure data collection under different conditions is the crucial issue to wirelesssensor ...
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Resource-constrained is a critical issue in wirelesssensornetworks (WSN) applications. Data aggregation (or data fusion) is one of the key techniques to solve the problem. Data aggregation can effectively reduce the...
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In this paper, we propose a new single-channel speech separation algorithm by l0 optimization using nonhomogeneous linear mean square estimation (NLMSE) quasi-KLT basis. First, we propose to construct NLMSE quasi-KLT ...
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Existing Ethernet Passive Optical network(EPON) Dynamic Bandwidth Allocation(DBA) algorithms suffer from the disadvantage of idle time loss,which lower the upstream bandwidth *** letter proposes an improved upstream t...
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Existing Ethernet Passive Optical network(EPON) Dynamic Bandwidth Allocation(DBA) algorithms suffer from the disadvantage of idle time loss,which lower the upstream bandwidth *** letter proposes an improved upstream transmission scheme with idle-time eliminating *** analysis and numerical calculation prove that the improved scheme can ef-fectively eliminate the idle time and enhance the efficiency of upstream link *** results have shown that the bandwidth utilization can be raised up to 15% in heavy-load scenarios while the time delay performance of Assured Forwarding(AF) and Best Effort(BE) services are improved simultaneously.
Coordinated multi-point transmission/reception (CoMP), in which base stations cooperation during the downlink, has been considered as a attractive way of achieving higher performance and mitigating interference, espec...
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Block diagonalization (BD) is a classical and practical interference cancelation precoding algorithm in MU-MIMO system. But once BD is used, the user number can be supported simultaneously by the base station is limit...
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Existing Ethernet Passive Optical network (EPON) Dynamic Bandwidth Allocation (DBA) algorithms suffer from the disadvantage of idle time loss, which lower the upstream bandwidth utilization. This letter proposes an im...
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The wireless mesh network (WMN) is effective as emergency networks in disaster area which has a flexible network topology. The efficiency of the energy is particularly important in the emergency communicationnetwork....
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Compressed sensing (CS) is an emerging signal acquisition theory that directly collects signals in a compressed form if they are sparse on some certain basis. This paper focuses on the realization of CS on speech sign...
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Compressed sensing (CS) is an emerging signal acquisition theory that directly collects signals in a compressed form if they are sparse on some certain basis. This paper focuses on the realization of CS on speech signals. Observing that different kind speech frames have different intra-frame correlations, we propose a frame-based adaptive compressed sensing framework for speech signals, which applies adaptive projection matrix. Experimental results show significant improvement of speech reconstruction quality by using such adaptive approach against using traditional non-adaptive projection matrix.
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