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2017 IEEE 12th International Conference on ASIC

作者： Yunhao Xu Yingjie Lao Weiqiang Liu Xiaohu You Chuan Zhang Lab of Efficient Architectures for Digital-communication and Signal-processing(LEADS) National Mobile Communications Research Laboratory Southeast University Department of Electrical and Computer Engineering Clemson University College of Electronic and Information Engineering Nanjing Uni.Aero.& Astro.

ISBN: (纸本)9781509066261;9781509066254

Ring oscillator physical unclonable function(RO PUF) and multiplexer physical unclonable function(MUX PUF)are the two mostly used structures that make use of gate delay,but their reliability is not satisfactory *** this paper,a new structure,duty cycle multiplexer physical unclonable function(DC MUX PUF) is proposed to improve the reliability.A feed-back structure is added to original MUX PUF and decision method is also changed by measuring duty *** a simplified model is built to calculate the reliability of DC MUX PUF,a primary Monte Carlo simulation with this model is *** reliability of DC MUX PUF and the original MUX PUF are compared,and it is suggested that DC MUX PUF performs better than original MUX PUF considering noise *** temperature variation is considered,and simulated by *** is suggested that reliability of them are both above 95% when temperature *** and randomness are all more than 90%.Then the complexity of two kinds of PUF are also taken into *** challenge length becomes long,complexity of this design is relatively lower than original MUX PUF.

关键词： Physical unclonable function feed-back MUX PUF Monte Carlo model reliability

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RECOVERY OF UWB RADAR signalS IN SPECTRALLY RESTRICTED ENVIRONMENTS

RECOVERY OF UWB RADAR SIGNALS IN SPECTRALLY RESTRICTED ENVIR...

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IEEE International Conference on Image processing

作者： Lam H. Nguyen Trac D. Tran RF Signal Processing and Modeling Branch U.S. Army Research Laboratory Adelphi MD USA Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD USA

This paper presents a novel technique to recover the missing spectral information due to RF spectral restriction in ultra-wideband (UWB) synthetic aperture radar (SAR) imaging. We address a critical problem in UWB radar imaging: radar transmission is prohibited in reserved frequency bands specified by local frequency management agencies. We model the problem in a compressed sensing setup where a time-sparse received radar signal at each aperture is collected in the incoherent frequency domain using a stepped-frequency implementation. Using electromagnetic (EM) finite-difference, time-domain (FDTD) data of various targets and clutter objects computed at all viewing aspect angles, we show that the proposed technique can successfully recover the relevant information on targets of interest even from a large percentage of missing frequency bands.

关键词： Synthetic aperture radar Ultra wideband radar Radar imaging Time-frequency analysis Time-domain analysis

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Machine learning for forecasting mid price movement using limit order book data

arXiv

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arXiv 2018年

作者： Nousi, Paraskevi Tsantekidis, Avraam Passalis, Nikolaos Ntakaris, Adamantios Kanniainen, Juho Tefas, Anastasios Gabbouj, Moncef Iosifidis, Alexandros Department of Informatics Aristotle University of Thessaloniki Greece Laboratory of Signal Processing Tampere University of Technology Tampere Finland Laboratory of Industrial and Information Management Tampere University of Technology Tampere Finland Department of Engineering Electrical and Computer Engineering Aarhus University Denmark

Forecasting the movements of stock prices is one the most challenging problems in financial markets analysis. In this paper, we use Machine Learning (ML) algorithms for the prediction of future price movements using limit order book data. Two different sets of features are combined and evaluated: handcrafted features based on the raw order book data and features extracted by ML algorithms, resulting in feature vectors with highly variant dimensionalities. Three classifiers are evaluated using combinations of these sets of features on two different evaluation setups and three prediction scenarios. Even though the large scale and high frequency nature of the limit order book poses several challenges, the scope of the conducted experiments and the significance of the experimental results indicate that Machine Learning highly befits this task carving the path towards future research in this field. Copyright © 2018, The Authors. All rights reserved.

关键词： Forecasting

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A novel clustering method based on density peaks and its validation by channel measurement 12

A novel clustering method based on density peaks and its val...

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12th European Conference on Antennas and Propagation, EuCAP 2018

作者： Xue, Hanqing Tian, Lei Zhang, Yuxiang Wang, Chao Zhang, Jianhua Li, Wei Wei, Hewen Key Lab of Universal Wireless Communications Ministry of Education China State Key Lab of Networking and Switching Technology Beijing University of Posts and Telecommunications P. O. Box 92 Beijing100876 China Department of Electrical Engineering Northern Illinois University DeKalbIL60115 United States National key laboratory of science and technology on blind signal processing Chengdu Sichuan610041 China

ISBN: (纸本)9781785617911

In this paper, cluster centers are defined as local maxima in the density which is called density peaks. We use an algorithm based on density peaks to cluster multipath components (MPCs) whose parameters are estimated by the space-alternating generalized expectation-maximization (SAGE) algorithm. To validate its performance, we apply it to the data from a channel measurement in an indoor scenario at 28 GHz and compare it to the widely used KPowerMeans algorithm with the same distance metric of multiple component distance (MCD). Through the results, we find it can cluster MPCs more accurately validated by Calinski-Harabasz (CH) and Davies-Bouldin (DB) indices. More importantly, it overcomes the shortcoming of setting the number of clusters manually because we can determine the cluster centers automatically. Besides, the efficiency of DP clustering is far superior to KPowerMeans because what it needs is only a distance matrix and we only need to compute it once. At the end, statistical analysis of clusters are presented to provide insights in channel modeling of millimeter wave. © Institution of engineering and *** Rights Reserved.

关键词： Millimeter waves

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Using deep learning for price prediction by exploiting stationary limit order book features

arXiv

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arXiv 2018年

作者： Tsantekidis, Avraam Passalis, Nikolaos Tefas, Anastasios Kanniainen, Juho Gabbouj, Moncef Iosifidis, Alexandros Department of Informatics Aristotle University of Thessaloniki Thessaloniki Greece Laboratory of Industrial and Information Management Tampere University of Technology Tampere Finland Laboratory of Signal Processing Tampere University of Technology Tampere Finland Department of Engineering Electrical and Computer Engineering Aarhus University Denmark

The recent surge in Deep Learning (DL) research of the past decade has successfully provided solutions to many difficult problems. The field of quantitative analysis has been slowly adapting the new methods to its problems, but due to problems such as the non-stationary nature of financial data, significant challenges must be overcome before DL is fully utilized. In this work a new method to construct stationary features, that allows DL models to be applied effectively, is proposed. These features are thoroughly tested on the task of predicting mid price movements of the Limit Order Book. Several DL models are evaluated, such as recurrent Long Short Term Memory (LSTM) networks and Convolutional Neural Networks (CNN). Finally a novel model that combines the ability of CNNs to extract useful features and the ability of LSTMs' to analyze time series, is proposed and evaluated. The combined model is able to outperform the individual LSTM and CNN models in the prediction horizons that are tested. Copyright © 2018, The Authors. All rights reserved.

关键词： Long short-term memory

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A method to read numbers in Thai nutrition facts label by using SVM

A method to read numbers in Thai nutrition facts label by us...

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International Workshop on Advanced Image Technology (IWAIT)

作者： Supawadee Ekkasan Theekapun Charoenpong Kosin Chamnongthai Supiya Charoensiriwath Department of Biomedical Engineering Srinakharinwijot University Nakhonnayok Thailand Department of Electrical and Telecommunication Engineering Faculty of Engineering King Mongkut's University of Technology Thonburi Thailand Biomedical Signal Processing Laboratory National Electronics and Computer Technology Center Pathumthani Thailand

ISBN: (纸本)9781538626160

Due to a problem of current research occurring when reading the nutrition facts label with Thai font. In this paper, we proposed a method to read the amount of the nutrition numbers on nutrition facts label with Thai font by using integrated image processing technique. This method consists of three steps: label extraction, number segmentation, and number classification. Nutrition facts label image is used as input of algorithm. First, the label is extracted by using a local adaptive threshold. Four sides of a label box are detected from histogram in horizontal and vertical axis. Second, numbers are segmented based on blob region analysis. Blob of number can be defined according to blob sequence in a line. A number in blob of number is then separated. Third, a number is divided into 5×7 regions. A number vector defined from 35 regions is used to classify the number by the support vector machine. To test the performance of the proposed method, number of the amount of the nutrition is extracted from twenty Thai labels. In such labels, there are 180 numbers. A number is classified into number 0-9. By using support vector machine for classification, the accuracy is 81.11%. The experimental result shows the satisfactory results. This is the first method for reading number in Thai nutrition facts label.

关键词： Erbium Data acquisition Data mining Graphics Tools

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Comparison of germanium bipolar junction transistor models for real-time circuit simulation 20

Comparison of germanium bipolar junction transistor models f...

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20th International Conference on Digital Audio Effects, DAFx 2017

作者： Holmes, Ben Holters, Martin Van Walstijn, Maarten Sonic Arts Research Centre School of Electronics Electrical Engineering and Computer Science Belfast United Kingdom Department for Signal Processing and Communications Helmut Schmidt University Hamburg Germany

The Ebers-Moll model has been widely used to represent Bipolar Junction Transistors (BJTs) in Virtual Analogue (VA) circuits. An investigation into the validity of this model is presented in which the Ebers-Moll model is compared to BJT models of higher complexity, introducing the Gummel-Poon model to the VA field. A comparison is performed using two complementary approaches: on fit to measurements taken directly from BJTs, and on application to physical circuit models. Targeted parameter extraction strategies are proposed for each model. There are two case studies, both famous vintage guitar effects featuring germanium BJTs. Results demonstrate the effects of incorporating additional complexity into the component model, weighing the trade-off between differences in the output and computational cost.

关键词： Economic and social effects

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NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results

arXiv

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arXiv 2020年

作者： Lugmayr, Andreas Danelljan, Martin Timofte, Radu Ahn, Namhyuk Bai, Dongwoon Cai, Jie Cao, Yun Chen, Junyang Cheng, Kaihua Chun, SeYoung Deng, Wei El-Khamy, Mostafa Man Ho, Chiu Ji, Xiaozhong Kheradmand, Amin Kim, Gwantae Ko, Hanseok Lee, Kanghyu Lee, Jungwon Li, Hao Liu, Ziluan Liu, Zhi-Song Liu, Shuai Lu, Yunhua Meng, Zibo Navarrete Michelini, Pablo Micheloni, Christian Prajapati, Kalpesh Ren, Haoyu Hyeok Seo, Yong Siu, Wan-Chi Sohn, Kyung-Ah Tai, Ying Muhammad Umer, Rao Wang, Shuangquan Wang, Huibing Haoning Wu, Timothy Wu, Haoning Yang, Biao Yang, Fuzhi Yoo, Jaejun Zhao, Tongtong Zhou, Yuanbo Zhuo, Haijie Zong, Ziyao Zou, Xueyi Wang, Li-Wen Cani, Marie-Paule Siu, Wan-Chi Yang, Huan Fu, Jianlong Shi, Yukai Chen, Junyang Lee, Kanghyu Park, Jaihyun Lee, Junyeop Min, Jeongki Lee, Bokyeung Ko, Hanseok Yoo, Jaejun Sohn, Kyung-Ah Micheloni, Christian Hu, Fengshuo Wang, Yanhong Lu, Yunhua Peng, Jinjia Wang, Huibing Zhuo, Haijie Lee, Junyeop Min, Jeongki Lee, Bokyeung Park, Jaihyun Ko, Hanseok Tai, Lab Ying Jilin Li, Youtu Lab Liu, Shuai Yang, Biao Liu, Xing Chen, Shuaijun Zhao, Lei Wang, Zhan Lin, Yuxuan Jia, Xu Gao, Qinquan Deng, Wei Kheradmand, Amin El-Khamy, Mostafa Wang, Shuangquan Bai, Dongwoon Lee, Jungwon Patel, Heena Chudasama, Vishal Upla, Kishor Ramachandra, Raghavendra Raja, Kiran Busch, Christoph Meng, Zibo Ho, Chiu Man Computer Vision Lab ETH Zurich Switzerland LIX - Computer science laboratory at the cole polytechnique Palaiseau France Center of Multimedia Signal Processing Hong Kong Polytechnic University Hong Kong Shanghai Jiao Tong University China Microsoft Research Beijing China Guangdong University of Technology China Intelligent Signal Processing Laboratory Korea University Korea Republic of Ajou University Korea Republic of EPFL University of Udine Italy BOE Technology Group Co. Ltd Dalian Maritime University China Guangdong OPPO Mobile Telecommunications Corp. Ltd Department of Video Information Processing Korea University Korea Republic of School of Electrical Engineering Korea University Korea Republic of Tencent Youtu Lab Yun Cao Tencent Youtu Tencent Youtu Lab Chengjie Wang Tencent Tencent Youtu Lab Feiyue Huang Tencent Youtu Lab Peking University China North China University of Technology China Huawei Technologies Co. Ltd China Fuzhou University Tong Tong Fuzhou University Imperial Vision Technology China Fuzhou University Imperial Vision Technology China Imperial Vision Technology SOC R&D Samsung Semiconductor Inc. United States Ulsan national institute of science and technology Korea Republic of Sardar Vallabhbhai National Institute Of Technology Surat India Norwegian University of Science and Technology Gjøvik Norway InnoPeak Technology

This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world setting, where paired true high and low-resolution images are unavailable. For training, only one set of source input images is therefore provided along with a set of unpaired high-quality target images. In Track 1: Image processing artifacts, the aim is to super-resolve images with synthetically generated image processing artifacts. This allows for quantitative benchmarking of the approaches w.r.t. a ground-truth image. In Track 2: Smartphone Images, real low-quality smart phone images have to be super-resolved. In both tracks, the ultimate goal is to achieve the best perceptual quality, evaluated using a human study. This is the second challenge on the subject, following AIM 2019, targeting to advance the state-of-the-art in super-resolution. To measure the performance we use the benchmark protocol from AIM 2019. In total 22 teams competed in the final testing phase, demonstrating new and innovative solutions to the problem. Copyright © 2020, The Authors. All rights reserved.

关键词： Optical resolving power

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END TO END SIMULATION STUDY OF GEOSTAIONARY PASSIVE MICROWAVE ATMOSPHERIC SOUNDING

END TO END SIMULATION STUDY OF GEOSTAIONARY PASSIVE MICROWAV...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Ke Chen Al. Gasiewski Kun Zhang Liang Lang Liangqi Gui Qingxia Li Ye He Science and Technology on Multi-spectral Information Processing Laboratory Wuhan China Department of Electrical Computer and Energy Engineering University of Colorado at Boulder School of Electronic Information and Communications Huazhong University of Science and Technology

A numerical simulator for analysis of the geostationary orbit multispectral passive microwave (Geo-MW) mapping and sounding is described, which mainly includes upwelling brightness temperatures forward, microwave radiometer payload simulation and atmospheric profile retrieval. This simulator allows evaluation and optimization of the ability of microwave sensors to retrieve atmospheric temperature and humidity profile. In this paper, end to end simulation study of a Geo-MW radiometer observation at selected frequencies from 50 to 425 GHz with a real-aperture antenna is performed and the accuracy of the brightness temperature measurement and the atmospheric temperature and humidity profile sounding are quantitatively analyzed and evaluated.

关键词： Atmospheric modeling Microwave radiometry Brightness temperature Microwave imaging Microwave antennas Computational modeling Microwave communication

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On Capacity-Based Codebook Design and Advanced Decoding for Sparse Code Multiple Access Systems

On Capacity-Based Codebook Design and Advanced Decoding for ...

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作者： Xiao, Kexin Xia, Bin Chen, Zhiyong Xiao, Baicen Chen, Dageng Ma, Shaodan Shanghai Institute for Advanced Communication and Data Science Institute of Wireless Communication Technologies Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China Institute of Wireless Communication Technologies Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China Department of Electrical Engineering University of Washington SeattleWA98105 United States Cooperative Medianent Innovation Center Shanghai Jiao Tong University Shanghai200240 China Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai200240 China Communications Technology Laboratory Huawei Technologies Co. Ltd. Shanghai201206 China Department of Electrical and Computer Engineering University of Macau C-Macau999078 China

Sparse code multiple access (SCMA) is a promising non-orthogonal air-interface technology for its ability to support massive connections. In this paper, we design the multiuser codebook and the advanced decoding from the perspective of the theoretical capacity and the system feasibility. First, different from the lattice-based constellation in point-to-point channels, we propose a novel codebook for maximizing the constellation constrained capacity. We optimize a series of 1-D superimposed constellations to construct multi-dimensional codewords. An effective dimensional permutation switching algorithm is proposed to further obtain the capacity gain. Consequently, it shows that the performance of the proposed codebook approaches the Shannon limit and achieves significant gains over the other existing ones. Furthermore, we provide a symbol-based extrinsic information transfer tool to analyze the convergence of SCMA iterative detection, where the complex codewords are considered in modeling the a priori probabilities instead of assuming the binary inputs in previous literature. Finally, to approach the capacity, we develop a low-density parity-check code-based SCMA receiver. Most importantly, by utilizing the EXIT charts, we propose an iterative joint detection and decoding scheme with only partial inner iterations, which exhibits significant performance gain over the traditional one with separate detection and decoding. © 2002-2012 IEEE.

关键词： Iterative decoding

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