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Single-channel Speech Separation by l0 Optimization Using Quasi-KLT Bases

Chinese Journal of Electronics 2023年第3期21卷 535-540页

作者： GUO Haiyan YANG Zhen ZHU Weiping YE Lei College of Engineering Nanjing Agricultural University Nanjing China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology (Ministry of Education) Nanjing University of Posts and Telecommunications Nanjing China

This paper deals with single-channel speech separation. First, it is proved that when the sparse bases of the signal sources satisfy certain conditions, all the sources can be perfectly separated from a single mixture by l o optimization. Then, a special case where the single mixture is generated by two independent speech sources is studied in more detail. It is revealed that the ideal quasi-KLT bases constructed from the original sources satisfy the sufficient conditions for perfect separation of mixed signals. Considering the fact that the ideal quasi-KLT bases cannot be obtained in practice, template-matching based quasi-KLT bases generated from the single mixture are also proposed to perform single-channel speech separation. Finally, simulation results demonstrating the effective performance of single-channel separation of two speech sources by l o optimization using the template-matching based quasi-KLT bases are presented.

关键词： Sufficient conditions Simulation Transforms Programming Optimization

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Deep Learning Empowered Real-Time Haptic communications for IoT

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IEEE Transactions on Consumer Electronics 2024年

作者： Zhang, Xuguang Chen, Mingkai Nanjing University of Posts and Telecommunications School of Communications and Information Engineering Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing210003 China

The advancement of the Internet of Things (IoT) has enabled a variety of innovative consumer electronics applications. In particular, multi-modal applications integrating audio, video, and haptic interactions have emerged, offering users more immersive experiences and enhanced remote interaction capabilities. However, the distributed and fragmented nature of IoT network resources presents significant challenges for ensuring haptic communications under strict constraints. To address these challenges, this paper proposes a joint coding and network resource scheduling solution for haptic communications in IoT environments. First, we design a scalable and flexible haptic coding scheme that supports efficient and seamless haptic streaming across heterogeneous IoT networks. Second, we introduce a deep learning-based imperceptible Quality of Experience (QoE) recognition method, which uses emotional immersion as an evaluation metric to achieve unobtrusive QoE monitoring. Finally, based on user QoE feedback, we develop an on-demand cooperative network resource scheduling strategy to ensure high QoE, reduce network resource wastage, and optimize the utilization of fragmented IoT resources. Simulation results validate the effectiveness of the proposed architecture and strategies. © 1975-2011 IEEE.

关键词： network coding

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Measurement-based entanglement purification for entangled coherent states

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Frontiers of physics 2022年第2期17卷 71-81页

作者： Pei-Shun Yan Lan Zhou Wei Zhong Yu-Bo Sheng Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China School of Science Nanjing University of Posts and TelecommunicationsNanjing 210003China Institute of Signal Processing Transmission Nanjing University of Posts and TelecommunicationsNanjing 210003China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing 210003China

The entangled coherent states(ECSs)have been widely used to realize quantum information processing ***,the ECSs may suffer from photon loss and decoherence due to the inherent noise in quantum channel,which may degrade the fidelity of *** overcome these obstacles,we present a measurement-based entanglement purification protocol(MBEPP)for ECSs to distill some highquality ECSs from a large number of low-quality *** first show the principle of this MBEPP without considering the photon *** that,we prove that this MBEPP is feasible to correct the error resulted from the photon ***,this MBEPP only requires to operate the Bell state measurement without performing local two-qubit gates on the noisy pairs and the purified high-quality ECSs can be preserved for other *** MBEPP may have application potential in the implementation of long-distance quantum communication.

关键词： measurement-based entanglement purification entangled coherent state photon loss decoherence

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Novel Deep Packet Compression For Industrial Internet of Things

Novel Deep Packet Compression For Industrial Internet of Thi...

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2022 IEEE GLOBECOM Workshops, GC Wkshps 2022

作者： Chen, Mingkai Lu, Hang Xu, Xinmian Tang, Xiao-Wei Fan, Qiang Lou, Chong Nanjing University of Posts and Telecommunications Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing210003 China Huawei Technologies Co. Ltd Shanghai201206 China

ISBN: (纸本)9781665459754

Nowadays, Industrial Internet of Things (IIoT) has been considered as a promising technology to provide data acquisition for Industry 4.0. However, packet compression in IIoT still exists multi-protocol heterogeneity, lack of robustness, compression ratio to be improved and some other issues. Inspired by the above reasons, in this paper we investigate a novel deep packet compression for IIoT in order to reduce redundant data while maintaining high robustness. For one thing, facing to protocol heterogeneity, we propose Universal Dynamic Ethernet Header Compression (UDEHC) to embrace five major protocols. For another, we provide Generalized Deduplication using Static Dictionary (GDSD) scheme to obtain 16-20% compression improvement and high reliability. Extensive simulation results are provided to validate the theoretical analysis and demonstrate the effectiveness in wireless circumstance. © 2022 IEEE.

关键词： Internet of things

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Speech Signal Processing on Graphs: Graph Topology, Graph Frequency Analysis and Denoising

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Chinese Journal of Electronics 2020年第5期29卷 926-936页

作者： WANG Tingting GUO Haiyan LYU Bin YANG Zhen Broadband Wireless Communication and Sensor Network Technology Key Lab Nanjing University of Posts and Telecommunications

The paper investigates the hidden relationships among speech samples by applying graph tools. Specifically, we first estimate an applicable graph topology for unstructured speech signals, which can map speech signals into the vertex domain successfully and construct as Speech graph signals(SGSs). On the basis, we define a new graph Fourier transform for SGSs, which can investigate its related graph Fourier analysis. Moreover,we propose a new Graph structure spectral subtraction(GSSS) method for speech enhancement under different noisy environments. Simulation results show that the performance of the GSSS method can be significantly improved than the classical Basic spectral subtraction(BSS) method in terms of the average Segmental signal-tonoise ratio(SSNR), Perceptual evaluation of speech quality(PESQ) and the computational complexity.

关键词： Graph Fourier transform Graph topology graph frequency analysis speech processing graph topology unstructured speech signals GSSS method Speech graph Fourier analysis graph theory Fourier transforms speech quality classical Basic spectral subtraction method Denoising speech signal processing perceptual evaluation of speech quality computational complexity speech samples Graph structure spectral subtraction method Graph signal processing segmental signal-to-noise ratio speech enhancement graph tools Fourier analysis SGSs

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Utility Maximization for NFV-Based Tactile Internet

Utility Maximization for NFV-Based Tactile Internet

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IEEE International Conference on communications in China (ICCC)

作者： Xinmian Xu Haie Dou Mingkai Chen Lei Wang Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

In recent years, there has been significant attention and development in the Tactile Internet (TI) as a new type of network that supports typical applications such as remote healthcare and virtual reality. However, the demand for ultra-low latency and the inflexibility of traditional network architecture have presented serious challenges. In this paper, we propose a utility function for TI based on 5G network function virtualization (NFV) technology to evaluate network performance. The utility function considers the transmission of haptic and video data flows, as well as their latency and cost. We then formulate a network optimization problem with the utility function as the objective, strictly constraining latency and cost. To address this problem, we design two algorithms: the VNF deployment and routing of haptic and video flows (DRHV) algorithm tackles the VNF deployment and path selection issue, while the deep deterministic policy gradient(DDPG)-based traffic scheduling (DTS) algorithm allocates traffic resources and saves costs. Simulation results demonstrate that our algorithms achieve excellent optimization performance under the given constraints, and parameter changes align with the expected relationships and trends.

关键词：

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One-dimensional photonic crystal bandpass-filter-integrated metalens for gas sensing 14

One-dimensional photonic crystal bandpass-filter-integrated ...

引用

14th International Photonics and Optoelectronics Meetings, POEM 2022

作者： Wang, Yujiang Zhou, Xingping Shi, Yuechun Chen, Xiangfei Microwave-photonics Technology Laboratory Nanjing National Laboratory of Microstructures College of Engineering and Applied Sciences Nanjing University Nanjing210093 China Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications Nanjing210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing210003 China Yongjiang Lab Ningbo China

ISBN: (纸本)9781510664050

We propose a design of a bandpass-filter-integrated metalens for the gas sensing. A device with both filtering and focusing functions is designed, by integrating a one-dimensional photonic crystal and a metalens. It has a great filtering effect for one absorption peak (1650 nm) of the target gas (the methane). The transmission rate of the target wavelength is 89% and the relative intensity of the light field is up to 135. Our device has the function of focusing the light onto the photodetector (PD). The response of PD has been greatly improved. Meanwhile, the device can be fabricated into a photonic integrated chip. We provide a new scheme of the photonic integration chip for the multiple gas sensing. © 2023 SPIE.

关键词： Bandpass filters

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Feature Extraction Model of Smart Fire Fighting Water Cyber Physical System based on LSTM 10

Feature Extraction Model of Smart Fire Fighting Water Cyber ...

引用

10th IEEE Joint International Information technology and Artificial Intelligence Conference, ITAIC 2022

作者： Zhu, Leiji Liu, Pingping Xiong, Yong Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Broadband Wireless Communication Technology Laboratory Shanghai200050 China Chinese Academy of Sciences Key Laboratory of Wireless Sensor Network and Communication Shanghai200050 China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

In order to realize the condition monitoring and judgment of intelligent fire cyber physical water system, a feature extraction model of intelligent fire cyber physical water system based on LSTM is designed in this paper. In physical space, a real-time pressure information acquisition system is constructed based on intelligent water pressure sensor equipment and the closed-loop control command is completed by new intelligent gateway equipment. In the information space, based on LSTM architecture, a feature extraction and classification judgment model of high-pressure and low-pressure states based on one-dimensional time series pressure information is constructed. The experimental data show that the designed model has an average detection accuracy of 81.5%. The model can provide technical support for the closed-loop control of intelligent fire cyber physical water system. © 2022 IEEE.

关键词： Cyber Physical System

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Stackelberg Game for wireless Powered and Backscattering Enabled sensor networks

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China communications 2024年第3期21卷 189-204页

作者： Lyu Bin Cao Yi Wang Shuai Guo Haiyan Hao Chengyao Key Laboratory of Ministry of Education in Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Jiangsu Engineering Research Center of Novel Optical Fiber Technology and Communication Network Suzhou 215006China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China

This paper investigates a wireless powered and backscattering enabled sensor network based on the non-linear energy harvesting model, where the power beacon(PB) delivers energy signals to wireless sensors to enable their passive backscattering and active transmission to the access point(AP). We propose an efficient time scheduling scheme for network performance enhancement, based on which each sensor can always harvest energy from the PB over the entire block except its time slots allocated for passive and active information delivery. Considering the PB and wireless sensors are from two selfish service providers, we use the Stackelberg game to model the energy interaction among them. To address the non-convexity of the leader-level problem, we propose to decompose the original problem into two subproblems and solve them iteratively in an alternating manner. Specifically, the successive convex approximation, semi-definite relaxation(SDR) and variable substitution techniques are applied to find a nearoptimal solution. To evaluate the performance loss caused by the interaction between two providers, we further investigate the social welfare maximization problem. Numerical results demonstrate that compared to the benchmark schemes, the proposed scheme can achieve up to 35.4% and 38.7% utility gain for the leader and the follower, respectively.

关键词： backscatter communication energy interaction stackelberg game wireless powered sensor network

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Coverage Enhancement Strategy Based on Novel Perception and Co-Evolution for Multimedia sensor networks

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Chinese Journal of Electronics 2023年第1期22卷 135-140页

作者： Fu Xiao Jing Wang Lijuan Sun Ruchuan Wang Jian Guo College of Computer Nanjing University of Posts and Telecommunications Nanjing China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing China

Coverage enhancement is one of the hot research topics in wireless multimedia sensor networks. A novel Coverage-enhancing algorithm based on three-dimensional Directional perception and co-evolution (DPCCA) is proposed in multimedia sensor networks on the basis of the model whose pitch angle and deviation angle can be adjusted. Based on the proposed elliptical cone sensing model, we can derive the coverage area of the node and calculate the optimal pitch angle according the information of monitoring area and the nodes, and then the deviation angle is optimized based on co-evolution algorithm, which eliminate the overlapped and blind sensing area effectively. A set of simulations demonstrate the effectiveness of our algorithm in coverage ratio.

关键词： wireless communication Industries Solid modeling wireless sensor networks Three-dimensional displays Medical services sensors

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