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Asia Communications and Photonics Conference and Exhibition (ACP)

作者： Lei Yu Le Cheng Jinli Zhang Hongna Zhu Xiaorong Gao Southwest Jiaotong University Chengdu China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

Semi-supervised learning is adopted for fine-grained image classification with convolutional networks. Compared with the traditional approach of distillation, we obtain accuracy improvement of ~3 percent points under ... 详细信息

ISBN: (纸本)9781943580705

关键词： Training Data models Image classification Semisupervised learning Pattern recognition Diseases Conferences

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Research on Automatic Decoding of Morse Code Based on Deep Learning

Research on Automatic Decoding of Morse Code Based on Deep L...

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International Conference on Intelligent Computing, Automation and Systems (ICICAS)

作者： Weihao Li Keren Wang Information Engineering University Zhengzhou China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

ISBN: (数字)9781728161068

ISBN: (纸本)9781728161075

The current automatic decoding method of the Morse telegram has limited accuracy, and can't adapt to signal distortion and code length deviation of the manual telegram. This paper introduces the deep learning method and constructs an automatic decoding model, which integrates feature extraction, sequence modeling and transcription into an end-to-end training neural network. The time-frequency diagrams of signals are used for training and testing. Experimental results show that the decoding system has strong adaptability to manual deviation and frequency drift, and is robust in a noisy environment.

关键词： decoding feature extraction learning (artificial intelligence) neural nets telecommunication computing telegraphy Telegraphies DECODING telecommunication computing Neural network Feature extraction Noisy environment Morse code Frequency drift manual

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Sparse Bayesian Learning for Distributed Passive Radar Imaging via Covariance Sparse Representation

Sparse Bayesian Learning for Distributed Passive Radar Imagi...

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Asian and Pacific Conference on Synthetic Aperture Radar (APSAR)

作者： Fukang Gong Shunsheng Zhang Qing He Research Institute of Electronic Science and Technology University of Electronic Science and Technology of China Chengdu China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

ISBN: (数字)9781728129129

ISBN: (纸本)9781728129136

Due to low imaging cost and robustness, the distributed passive radars using multiple transmitters and multiple receivers to observe targets have become a hot research. In the case of low SNR, the imaging accuracy of the distributed passive radar imaging model via Orthogonal Matching Pursuit (OMP) sparse reconstruction is low. For this problem, a framework consisting of sparse representation of the received multi-snapshot radar signal covariance matrix, Sparse Bayesian Learning (SBL) based reconstruction algorithm has been built. At the end of paper, through the simulation experiment, the imaging results of the original data and covariance data at low SNR are compared, and the reconstruction errors under different SNR are used to verify the effectiveness of the proposed algorithm.

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Active Learning for Spam Email Classification

Active Learning for Spam Email Classification

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2019第二届算法、计算和人工智能国际会议

作者： Zheng Chen Ruiwen Tao Xiaoyang Wu Zhimin Wei Xiao Luo School of Information & Software Engineering University of Electronic Science & Technology of China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu Sichuan China

Deep learning has yielded state-of-the-art performance on text classification tasks. In this paper, a new neural network based on Long-Short-Term-Memory model is applied to classify spam emails. Using deep learning method to classify spam emails requires large amounts of labeled data. To solve this problem, active learning method is used to reduce labeling cost and increase model adaptability. In this paper, it is found that the new model performs better than standard CNNs and RNNs on email classification task, and active learning methods can match stateof-the-art performance with just 10% of the labeled data.

关键词： Spam email classification active learning LSTM

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Optimized Gain of One-Pump Fiber Optical Parametric Amplifier by using Genetic Algorithm with Pump Depletion

Optimized Gain of One-Pump Fiber Optical Parametric Amplifie...

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Asia Communications and Photonics Conference and Exhibition (ACP)

作者： Zhenyu Zhu Jinli Zhang Hao Sui Le Cheng Hongna Zhu Xiaorong Gao School of Physical Science and Technology Southwest Jiaotong University Chengdu China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu Sichuan China

An optimized method to determine the parameters of one-pump fiber optical parametric amplifier with pump depletion is illustrated by using genetic algorithm. The gain with wide bandwidth and high peak gain is obtained.

ISBN: (纸本)9781943580705

关键词： Genetic algorithms Nonlinear optical fibers Nonlinear parametric processes Numerical analysis Optical amplifiers Optical fibers

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Some features of the interaction of electromagnetic radiation with complex fractal objects 10

Some features of the interaction of electromagnetic radiatio...

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10th All-Russian Conference on Irreversible Processes in Nature and technology

作者： Tupik, V.A. Potapov, A.A. Margolin, V.I. Department of Radio Microelectronics and Radio Equipment Technology Saint Petersburg Electrotechnical University lETI Saint Petersburg197376 Russia College of Information Science and Technology / College of Cyber Security Guangzhou510632 China Cooperative Chinese-Russian Laboratory of Informational Technologies and Signals Fractal Processing Guangzhou510632 China

The effects and phenomena arising from the interaction of both coherent structured and scattered electromagnetic radiation with complex fractal objects are considered. Attention is paid to such fractal objects as complex diffraction gratings. The questions of their practical application and further researches are discussed. © Published under licence by IOP Publishing Ltd.

关键词： Fractals

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Rectangular Cavity Slot Array

Rectangular Cavity Slot Array

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International Conference on Microwave and Millimeter Wave technology Proceedings

作者： Jing Jian Huang Xiao Fa Zhang Lin Chen Chang Zhu Nai Chang Yuan State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

A 5×5 broadside slot array backed by a single cavity containing a mode filter is designed. The resonant slot length is obtained by using a waveguide slot model. The simulated and measured results show that this a...

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A Fast Deep-Learning Signal Detection Architecture for the Short-wave Band

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Journal of Physics: Conference Series 2020年第1期1646卷

作者： Keren Wang Weihao Li National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China. Information Engineering University Zhengzhou China

Wideband signal detection plays an important role in wireless communication systems. In recent years, deep learning (DL) has been introduced, and many trial efforts have been posed. In this paper, a fast deep-learning signal detection architecture is proposed for the short-wave band, which consists of the GPU-based Down Digital Converter (DDC), the DL-based signal detector, and the signal data viewer & recorder. Wideband signal data are taken directly as the input, and detected signals are automatically recorded as the output of the architecture. Experimental results suggest that our architecture is capable of detecting signals in the whole short-wave band in quasi-real-time, and specifically, with single GPU device.

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Passive packet reordering measurement on terrestrial-based and satellite-based internet 4th

Passive packet reordering measurement on terrestrial-based a...

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4th International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2016

作者： Xu, Zhengguo Zheng, Hui National Key Laboratory of Science and Technology on Blind Signals Processing Chengdu610041 China

ISBN: (纸本)9789811039683

With the increasing deployment of various medium, the transmission performance has become a key issue of the Internet research. An important impact on the performance is the packet reordering, which is well-known in packet transmission. First, this paper provides a brief review of the existing packet reordering metrics. We also explore the flexibility of existing passive metrics. As a new rising transmission medium, the satellite-based Internet covers widespread areas nowadays, and its transmission performance is susceptible to the packet reordering. We carried out the experiments in practice network environment, and compare the results of the terrestrial-based and satellite-based Internet. Experimental results show the reordering ratio on satellite-based Internet is less than that of terrestrial-based Internet. Finally, we present a novel perspective to explain the reordering phenomenon in TCP/IP flows. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Transmission control protocol

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A Novel Special Emitter Identification Method Based on Improved Subclass Discriminant Analysis 2

A Novel Special Emitter Identification Method Based on Impro...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Guiliang Wang Yuanling Huang Science and Technology on Blind Signal Processing Laboratory

Radio frequency fingerprinting(RFF) is used to uniquely identify individual radios by exploiting the radio frequency characteristics. Often attributing to the phase ambiguity, the features of an emitt

ISBN: (纸本)9781467389808

关键词： Special emitter identification Radio frequency fingerprinting Discriminant analysis Feature extraction Pattern recognition Feature extraction discriminant analysis Pattern recognition emitters phase ambiguity Clustering algorithms sample covariance radiofrequency

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