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检索条件"机构=National Key Lab of Science and Technology on Blind Signal Processing"

共 182 条记录，以下是21-30 订阅

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On the Structure Property of PCR’s Adjacency Graph with a Prime Order and Its Application of Constructing M-Sequences 16th

On the Structure Property of PCR’s Adjacency Graph with a P...

引用

16th International Conference on Information Security and Cryptology, Inscrypt 2020

作者： Zhou, Congwei Guan, Jie Hu, Bin He, Kuan PLA SSF Information Engineering University Zhengzhou China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

ISBN: (纸本)9783030718510

In this paper we find a deterministic structure respecting the adjacency graph of a pure circulating shift register (PCR) with a prime order, and give a theoretical method for constructing all floor weight class of M-sequences. As a special case of this method, we calculate a lower bound of the number of floor weight class of M-sequences and give their corresponding feedback functions. © 2021, Springer Nature Switzerland AG.

关键词： Shift registers

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Adaptively feature matching via joint transformational-spatial clustering

Adaptively feature matching via joint transformational-spati...

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作者： Wang, Linbo Tan, Li Fang, Xianyong Guo, Yanwen Wan, Shaohua MOE Key Laboratory of Intelligent Computing and Signal Processing School of Computer Science and Technology Anhui University Hefei China National Key Lab for Novel Software Technology Nanjing University Nanjing China School of Information and Safety Engineering Zhongnan University of Economics and Law Wuhan China

The transformational and spatial proximities are important cues for identifying inliers from an appearance based match set because correct matches generally stay close in input images and share similar local transformations. However, most existing approaches only check one type of them or both types consecutively with manually set thresholds, and thus their matching accuracy and flexibility in handling large-scale images are limited. In this paper, we present an efficient clustering based approach to identify match inliers with both proximities simultaneously. It first projects the putative matches into a joint transformational-spatial space, where mismatches tend to scatter all around while correct matches gather together. A mode-seeking process based on joint kernel density estimation is then proposed to obtain significant clusters in the joint space, where each cluster contains matches mapping the same object across images with high accuracy. Moreover, kernel bandwidths for measuring match proximities are adaptively set during density estimation, which enhances its applicability for matching different images. Experiments on three standard datasets show that the proposed approach delivers superior performance on a variety of feature matching tasks, including multi-object matching, duplicate object matching and object retrieval. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Clustering Density estimation Feature matching Mode-seeking

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A Symbol Rate Estimation Scheme for Non-Cooperative Communication 7

A Symbol Rate Estimation Scheme for Non-Cooperative Communic...

引用

7th International Conference on Computer and Communications, ICCC 2021

作者： Lu, Jian Xu, Wenbo Wang, Siye Qi, Huiying Li, Yabin Beijing University of Posts and Telecommunications Key Laboratory of Universal Wireless Communications Beijing China National Key Laboratory of Science and Technology On Blind Signal Processing Shanghai China

ISBN: (纸本)9781665409506

In non-cooperative communication, symbol rate estimation is a prerequisite for signal demodulation. However, it is particularly difficult to estimate the symbol rate in the scenario with unknown modulation type and root cosine roll-off shaping. In this paper, an estimator without the requirement of communication parameters is proposed. First, the signal is recognized as constant envelope or non-constant envelope signal by square spectrum. Then, for the former, the symbol rate estimation is based on wavelet transform;for the latter, an envelope velocity strategy is adopted. In the proposed scheme, we elaborate some design details, including resampling factor, extraction of discrete spectral lines in the squared spectrum, selection of wavelet transform scale, and compensation of frequency deviation. We further propose a low-complexity implementation to meet the requirements for real-time capability and accuracy. Simulation results show that our proposed scheme is effective and accurate. © 2021 IEEE.

关键词： Wavelet transforms

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A tor anonymity attack experiment platform driven by raspberry pi 11

A tor anonymity attack experiment platform driven by raspber...

引用

11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020

作者： Wang, Qi Cao, Weiquan National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

ISBN: (纸本)9781728151816

Private Tor network is essential for analyzing security issues both for Tor project as well as for numerous researchers. However, current research work mainly focus on improving scalability and efficiency by simulating traffic discretely with single node and restoration level by deploying a complete private network with high cost. In this paper, we propose a novel methodology constructing real private tor network by editing and controlling Raspberry Pis, called Tor anonymity attack experiment platform. Compared with other platforms of the same type, the platform has the advantages of low cost, easy to scale, high quality of real-time data transmission, high degree of network protocol restoration as well as convenient configuration. In order to demonstrate the platform can be used as a private and complete Tor anonymous network experiment environment, we conduct a source tracing attack as a study case. Experimental results and theoretical analysis both show that the platform can support researchers to carry out numerous Tor network security research with high degree of restoration efficiently and cheaply. © 2020 IEEE.

关键词： Restoration

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A Multiple Instance Learning Algorithm Using Graph Convolutional Network for Speech Content Classification 5

A Multiple Instance Learning Algorithm Using Graph Convoluti...

引用

5th IEEE Information technology, Networking, Electronic and Automation Control Conference, ITNEC 2021

作者： Zhang, Jianyi Yao, Jiaqi Chu, Yanjie Yan, Jikun PLA Strategic Support Force Information Engineering University College of Information System Engineering Zhengzhou China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

ISBN: (纸本)9781665415989

Recently, speech content classification begins to be formulated as a multiple instance learning (MIL) problem by some researchers. Under the MIL framework, a speech signal is considered as a bag with labels, and speech fragments are regarded as instances without corresponding labels. On this basis, we propose a new algorithm, named MI-CNN-G, for speech content classification using Graph Convolutional Network (GCN) under the MIL framework. First, we only train the MIL classifier, whose architecture is based on Convolutional Neural Network, for bag classification. Second, we utilize GCN to handle graphs composed of instance features that are the outputs of the MIL classifier for correcting the predicted probabilities of the classifier and then updated the classifier and GCN together. Finally, we employ the MI-CNN-G model to predict the labels of unknown bags. The experimental results show that GCN is effective in improving the performance of the MIL classifier on speech content classification and the MI-CNN-G model outperforms the baseline approaches in the Average Precision metric. © 2021 IEEE.

关键词： Convolutional neural networks

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A self-adaptive modified whale optimization algorithm for optimizing the linear antenna array 12

A self-adaptive modified whale optimization algorithm for op...

引用

12th International Conference on Measuring technology and Mechatronics Automation, ICMTMA 2020

作者： Feng, Wentao Song, Kekang National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu Sichuan610041 China

ISBN: (纸本)9781728170817

The whale optimization algorithm (WOA) is an effective algorithm for solving complex optimization problem. Its unique search mechanism results in better exploitation than exploration capability which means that it's easy to get trapped in the local optima. A self-adaptive modified whale optimization algorithm named of SAMWOA is proposed. A self-adaptive quasi-opposition method and novel population updating mechanism is integrated into the whale optimization algorithm to improve the solution accuracy. Finally, the proposed algorithm is utilized in optimizing the radiation pattern of a 16-element linear antenna array. The experimental results show that SAMWOA algorithm can reduce the sidelobe level obviously. © 2020 IEEE.

关键词： Optimization

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A modified multi-objective whale optimization algorithm with dynamic leader selection mechanism 12

A modified multi-objective whale optimization algorithm with...

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12th International Conference on Measuring technology and Mechatronics Automation, ICMTMA 2020

作者： Feng, Wentao Deng, Bing National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu Sichuan610041 China

ISBN: (纸本)9781728170817

The whale optimization algorithm (WOA) has less control parameters and it is easier to implement. The multi-objective whale optimization algorithm (MOWOA) also shows good exploration and exploitation capability. A modified multi-objective whale optimization algorithm with dynamic leader selection mechanism (MMOWOA-DLS) is proposed. First, the opposition-based learning (OBL) is employed to accelerate the convergence speed. Second, a dynamic leader selection mechanism is utilized to improve the solution accuracy. Third, a modified archive grid controller is proposed to delete redundant solutions in external archive. The simulation results show that the performance of MMOWOA-DLS outperforms other algorithms. © 2020 IEEE.

关键词： Dynamics

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Performance Analysis of OSM-OFDM Systems with Carrier Frequency Offset 20

Performance Analysis of OSM-OFDM Systems with Carrier Freque...

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20th IEEE International Conference on Communication technology, ICCT 2020

作者： Jiang, Tingmin Xiao, Yue Dan, Lilin Ji, Xinrong Tang, Wenqi Zhao, Yan Uestc National Key Laboratory of Science and Technology on Communications Chengdu China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

ISBN: (纸本)9781728181417

Offset spatial modulation (OSM) is a novel modulation scheme with simplified radio-frequency-switching structure. In this paper, the concept of OSM is combined with orthogonal frequency division multiplexing (OFDM) transmission to take advantage of the benefits of these two techniques. We shed light on the effects of carrier frequency offset (CFO) on the OSM-OFDM systems over multipath Rayleigh fading channel, where the inter-carrier interference (ICI) induced by CFO degrades the system performance. We further derive the theoretical bit-error rate (BER) upper bound of OSM-OFDM impaired by CFO. Simulation results show that the theoretical BER is in good agreement with its simulated counterpart, which demonstrates the accuracy of the theoretical analysis. © 2020 IEEE.

关键词： Orthogonal frequency division multiplexing

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Reduced-complexity Transmit Antenna Selection for Spatial Modulation 20

Reduced-complexity Transmit Antenna Selection for Spatial Mo...

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20th IEEE International Conference on Communication technology, ICCT 2020

作者： Zhu, Ruotong Chen, Hao Xiao, Yue Ji, Xinrong Tang, Wenqi Zhao, Yan Uestc National Key Laboratory of Science and Technology on Communications Chengdu China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

ISBN: (纸本)9781728181417

In this paper, a novel transmit antenna selection (TAS) scheme is conceived for spatial modulation multiple-input multiple-output (SM-MIMO) systems, in order to reduce the search complexity. Compared to the existing TAS schemes, the proposed scheme shows a similar performance to optimal one with lower complexity, by exploring an efficient pruning algorithm for tree search based on a combined criterion. Simulation result indicates that the proposed scheme is capable of balancing the transmission performance and search complexity. © 2020 IEEE.

关键词： MIMO systems

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Robust Adaptive Beamforming Based on MR-FDA-MIMO radar Jamming Suppression

Robust Adaptive Beamforming Based on MR-FDA-MIMO radar Jammi...

引用

IEEE International Conference on Radar

作者： Zhixia Wu Shengqi Zhu Jingwei Xu Lan Lan Yanhong Xu Ximin Li Jie Gao National Key Lab. of Radar Signal Processing Xidian University Xi’an China School of Communication and Information Engineering Xi’an University of Science and Technology Xi’an China

In this work, an adaptive beamforming algorithm based on a minimum redundancy frequency diverse array multiple-input multiple-output (MR-FDA-MIMO) radar is proposed. The algorithm utilizes the transmit virtual domain signal of a MR-FDA-MIMO radar to perform transmit adaptive beamforming, overcoming the limitations of transmit array elements and suppressing multiple mainlobe deceptive jamming. To mitigate the beamforming performance degradation resulting from including the true target in the samples, the jamming plus noise covariance matrix is restructured to obtain the optimal performance of jamming suppression. To fully utilize the virtual degree of freedom (DOF) in the transmit dimension of MR-FDA-MIMO radar, sidelobe barrage jamming and mainlobe deceptive jamming are suppressed separately. Sidelobe barrage jamming is suppressed in the receive dimension. Multiple false targets are suppressed in the equivalent transmit dimension. The simulation results demonstrate the effectiveness of the algorithm.

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