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2017 9th IEEE International Conference on Communication Software and Networks (ICCSN 2017)

作者： Jun Zhu Qiang Chen Jingjing Zhang Key Lab of Intelligent Computing and Signal Processing Ministry of Education School of Electronics and Information Engineering Anhui University

ISBN: (纸本)9781509038237;9781509038220

In this paper, we propose a method to improve localization algorithm of maximum likelihood estimation;the localization scheme relies on the distance threshold. In order to suppress effectively the effects of received signal strength error to node localization precision. This paper presents an indoor localization algorithm based on received signal strength to select anchor nodes. Compared with the traditional localization algorithm, this scenario not only improve the localization accuracy, but also reduce the calculation complexity of nodes. The simulation results show that the average error of the proposed method is less than 0.15 m. Moreover, when there are a large number of anchor nodes, the computational complexity is effectively reduced. Verification result verifies the effectiveness and reliability of the algorithm.

关键词： localization received signal strength(RSS) maximum likelihood estimation(MLE) least squares threshold

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Speaker Recognition Based on the Improved Double-Threshold Endpoint Algorithm and Multistage Vector Quantization 9

Speaker Recognition Based on the Improved Double-Threshold E...

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2017 9th IEEE International Conference on Communication Software and Networks (ICCSN 2017)

作者： Jun Zhu Jingjing Zhang Qiang Chen Peipei Tu Key Lab of Intelligent Computing and Signal Processing Ministry of Education School of Electronics and Information Engineering Anhui University

ISBN: (纸本)9781509038237;9781509038220

The traditional double-threshold endpoint detection method has the phenomenon of missing detection. Therefore, the speech recognition(SR) system based on vector quantization(VQ) in this paper proposes an improved algorithm for this phenomenon, which effectively avoids the problem of missing detection. Then, Mel Frequency Cepstral Coefficients(MFCC) is used to extract the characteristic parameters of the speech signal, and the multistage vector quantization is used to quantify the characteristic parameters. Experimental results show that, the proposed algorithm improves the recognition rate of the text-independent speaker recognition system by 8.7%, and it also confirms that the longer the training speech is, the higher the recognition rate will be.

关键词： the multistage vector quantization MFCC double-threshold endpoint detection method missing detection characteristic parameters

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Joint utility optimization algorithm for secure hybrid spectrum sharing

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High Technology Letters 2022年第4期28卷 373-383页

作者： WANG Yi HUANG Rong XU Yaohua JIANG Fang BAI Na TANG Tao HU Yanjun Key Laboratory of Intelligent Computing&Signal Processing Ministry of EducationAnhui UniversityHefei 230601P.R.China

As the rapid development of wireless communication networks has resulted in better user experiences,the spectrum resources occupied and energy consumption have increased considerably and resulted in great *** address the energy consumption and cost problems of spectrum sharing in cognitive radio networks,a hybrid spectrum sharing model combining the free spectrum of authorized users and the leased spectrum of mobile network operators is *** on the hybrid model,a function of throughput and costs,including energy consumption and transaction costs,is constructed,and a joint utility optimization problem is *** transactions between secondary users and primary users are performed on the consortium blockchain on which users can directly trade spectrum and the transaction information is *** order to improve the joint utility,the Lagrange multiplier method is used to achieve the optimal solution for the sensing time,the number of secondary users involved in sensing,and the transmission *** simulation results show that the joint utility optimization algorithm proposed in this paper can achieve higher joint utility under the constraints of the minimum throughput requirement and maximum transmission power.

关键词： spectrum sharing power control joint utility blockchain

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Linear Frequency Modulated signal Denoising Based on Symplectic Geometric Mode Decomposition and Block Thresholding 23

Linear Frequency Modulated Signal Denoising Based on Symplec...

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23rd IEEE International Conference on Communication Technology, ICCT 2023

作者： Ni, Jincheng Zhao, Jin Wu, Xianliang AnHui University Key Lab of Intelligent Computing & Signal Processing Ministry of Education Heifei China

ISBN: (纸本)9798350325959

In this paper, a novel and comprehensive signal denoising method is proposed by combining Symplectic Geometric Modal Decomposition (SGMD) and Block Thresholding denoising. The proposed approach involves a three-step process: first, the signal is decomposed into a set of Symplectic Geometric Components (SGCs) using SGMD. Subsequently, each SGC is subjected to Block-Thresholding denoising. Finally, the denoised SGCs are recombined to obtain the denoised linear frequency modulation (LFM) signal. The experimental verification demonstrates the effectiveness of the SGMD-BT method in denoising LFM signals. This novel approach offers a fresh solution for the processing and analysis of LFM signals, holding significant application potential and research importance. © 2023 IEEE.

关键词： Block Thresholding denoising signal denoising Symplectic Geometric Modal Decomposition

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Enhanced Symplectic Geometric Mode Decomposition via K-means Clustering for LFM signal Denoising 7

Enhanced Symplectic Geometric Mode Decomposition via K-means...

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7th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2024

作者： Ni, Jincheng Zhao, Jin Wu, Xianliang Wu, Ping AnHui University Key Lab of Intelligent Computing & Signal Processing Ministry of Education Hefei China

ISBN: (纸本)9798350384437

This article presents a Symplectic Geometric Mode Decomposition (SGMD) method incorporating K-means clustering, coupled with wavelet denoising, for mitigating noise in Linear Frequency Modulation (LFM) signals. This method substitutes the original component recombination approach in SGMD with the K-means clustering algorithm, thus rendering the signal grouping more logically coherent. In the experiment, we compare the method proposed in this article with other denoising methods. The experimental findings demonstrate substantial advantages of the proposed method in mitigating noise in LFM signals, thereby enhancing both signal-to-Noise Ratio (SNR) and signal quality. The research outcomes underscore the feasibility and substantial potential of this method in mitigating noise in signals. In subsequent studies, additional investigation into its applicability across diverse domains can be pursued alongside the refinement of clustering and denoising algorithms. © 2024 IEEE.

关键词： Wavelet decomposition

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A design of digital handheld terminal in wireless data acquisition system

A design of digital handheld terminal in wireless data acqui...

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2012 National Conference on Information Technology and Computer Science, CITCS 2012

作者： Sun, Xingguo Wen, Shouxian Xu, Lei Li, Xiaohui Key Lab of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9789491216381

In order to make data collection more convenient, quick and accurate in working site in the existing wireless data acquisition system, one kind of multi-function handheld terminal is designed which combines the wireless and wired data acquisition. The paper adopts Atmega128 of ATMEL as microcontroller, nRF905 of Nordic as data transmission module. It designs power management, liquid-crystal display and data storage circuits. The results of practical test show that the handheld terminal can be applied to all kinds of wireless data acquisition networks, and it has several advantages like easy to carry, large data storage capacity, rich function and low cost. © 2012. The authors - Published by Atlantis Press.

关键词： Liquid crystal displays

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A design of remote monitoring system based on 3G and internet technology

A design of remote monitoring system based on 3G and interne...

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2012 National Conference on Information Technology and Computer Science, CITCS 2012

作者： Wen, Shouxian Sun, Xingguo Xu, Lei Li, Xiaohui Key Lab of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9789491216381

Aiming at the low-rate and short-distance communication in existing temperature and humidity monitoring system, this paper designs a remote monitoring system based on 3G and Internet technology. This system consists of data acquisition module and data remote transmission module. Atmega128 is used to be as a master control chip of data acquisition module, which realizes the data acquisition and pretreatment, and the collected data is transmitted to the host node by the low-power wireless transmission module NRF905 which is installed on slave nodes, and then the converged data is transmitted to Internet by 3G module. The system can realize remote monitoring, centralized management and so on. The experimental results show that the system has the advantages of low installation cost, low consumption, high sensitivity, high accuracy, long-distance communication and high rate etc. © 2012. The authors - Published by Atlantis Press.

关键词： Data acquisition

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Rate-embedded differential space-frequency codes based on cyclic delay diversity

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Journal of Computational Information Systems 2012年第1期8卷 151-158页

作者： Zhang, Hongwei Xu, Lei Li, Xiaohui Lu, Lu Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China Anhui Public Security Department Hefei 230061 China

The conventional differential space-frequency codes (DSFC) based on cyclic delay diversity (CDD) only could achieve the same transmission rate with that of a single transmit antenna system, the spectral efficiency was low. To improve the spectral efficiency in a non-coherent multiple antenna system, the advantage of CDD is considered fully in this paper and then a rate-embedded differential space-frequency coding scheme based on grouped CDD is proposed. In the proposed scheme, all transmit antennas are partitioned into several groups firstly, the conventional cyclic delays are adopted to achieve spatial diversity in each group, those symbols among different groups are transmitted differentially with low rate and high rate message matrices alternately, consequently high rate transmission is obtained. Simulation results verify that, compared with the conventional DSFC based on CDD, the proposed coding scheme can achieve obviously higher transmission rates and better error performances. © 2012 Binary Information Press January 2012.

关键词： Spectrum efficiency

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A cooperative spectrum sensing information transmission scheme based on cyclic delay diversity

A cooperative spectrum sensing information transmission sche...

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2012 National Conference on Information Technology and Computer Science, CITCS 2012

作者： Liu, Yanru Hu, Dechao Li, Xiaohui Key Lab of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9789491216381

To improve the reliability of spectrum sensing, a cooperative spectrum sensing information transmission scheme is discussed in this paper. Pre-coding and cyclic delay diversity (CDD) techniques are fully considered and properly combined to obtain diversity gains. Simulation results show that the proposed scheme can reduce error rate and further improve the cooperative spectrum sensing performance in the multipath fading channel. © 2012. The authors - Published by Atlantis Press.

关键词： Transmissions

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FastICA based single-channel radar signal separation algorithm

FastICA based single-channel radar signal separation algorit...

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IET International Radar Conference 2023, IRC 2023

作者： Wang, Xinyu Zhao, Jin Wu, Xianliang Key Lab of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9781839539954

Aiming at the traditional blind source separation for the received single-channel mixed radar signal makes it difficult to accurately recover the source signal, a single-channel radar signal comprehensive separation method based on the combination of the FastICA algorithm and the variational modal decomposition (VMD) algorithm is proposed. The method utilizes VMD to first perform modal separation of single-channel mixed Linear Frequency Modulation (LFM) signal, then selects the modal component signal with the largest correlation coefficient with the mixed signal and expands it with single-channel mixed LFM signal into a virtual multi-channel mixed signal, and finally inputs it into FastICA algorithm to obtain the source signal. The simulation experiment results show that the comprehensive separation algorithm can accurately separate the LFM signal, overcoming the limitation that the FastICA algorithm cannot directly separate the single-channel mixed radar signal. © The Institution of Engineering & Technology 2023.

关键词： Blind source separation

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