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arXiv 2019年

作者： Lobos, Rodrigo A. Scott Hoge, W. Javed, Ahsan Liao, Congyu Setsompop, Kawin Nayak, Krishna S. Haldar, Justin P. Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los AngelesCA United States Signal and Image Processing Institute University of Southern California Los AngelesCA United States Department of Biomedical Engineering University of Southern California Los AngelesCA United States Department of Radiology Brigham and Women's Hospital BostonMA United States Department of Radiology Harvard Medical School BostonMA United States Athinoula A. Martinos Center for Biomedical Imaging CharlestownMA United States #317 3710 McClintock Avenue Los AngelesCA90036

Purpose: We propose and evaluate a new structured low-rank method for EPI ghost correction called Robust Autocalibrated LORAKS (RAC-LORAKS). The method can be used to suppress EPI ghosts arising from the differences between different readout gradient polarities and/or the differences between different shots. It does not require conventional EPI navigator signals, and is robust to imperfect autocalibration data. Methods: Autocalibrated LORAKS is a previous structured low-rank method for EPI ghost correction that uses GRAPPA-type autocalibration data to enable high-quality ghost correction. This method works well when the autocalibration data is pristine, but performance degrades substantially when the autocalibration information is imperfect. RAC-LORAKS generalizes Autocalibrated LORAKS in two ways. First, it does not completely trust the information from autocalibration data, and instead considers the autocalibration and EPI data simultaneously when estimating low-rank matrix structure. And second, it uses complementary information from the autocalibration data to improve EPI reconstruction in a multi-contrast joint reconstruction framework. RAC-LORAKS is evaluated using simulations and in vivo data, and compared to state-of-the-art methods. Results: RAC-LORAKS is demonstrated to have good ghost elimination performance compared to state-of-the-art methods in several complicated acquisition scenarios (including gradient-echo brain imaging, diffusion-encoded brain imaging, and cardiac imaging). Conclusion: RAC-LORAKS provides effective suppression of EPI ghosts and is robust to imperfect autocalibration data. Copyright © 2019, The Authors. All rights reserved.

关键词： Matrix algebra

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DC MUX PUF:A Highly Reliable Feed-Back MUX PUF Based on Measuring Duty Cycle 12

DC MUX PUF:A Highly Reliable Feed-Back MUX PUF Based on Meas...

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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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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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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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Automatic Segmentation of Choroid Layer in EDI OCT Images Using Graph Theory in Neutrosophic Space

arXiv

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arXiv 2018年

作者： Salafian, Bahareh Kafieh, Rahele Rashno, Abdolreza Pourazizi, Mohsen Sadri, Saeid Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan Iran Department of Bioelectrics and Biomedical Engineering School of Advanced Technologies in Medicine Medical Image and Signal Processing Research Center Isfahan University of Medical Sciences Isfahan*** Iran Deapartment of ophthalmology Isfahan Eye Research Center Isfahan University of Medical Sciences Isfahan Iran

The choroid is vascular tissue located underneath the retina and supplies oxygen to the outer retina;any damage to this tissue can be a precursor to retinal disease. Choroid is almost invisible in Enhanced Depth Imaging Optical Coherence Tomography (EDI-OCT) images and it is hard for an ophthalmologist to detect this layer manually. This paper presents an automatic method of choroidal segmentation from EDI-OCT images in neutrosophic space. In neutrosophic approach for image processing, extracting any information from an image and applying any process on it, is modeled by three sets including true, false, and indeterminacy sets. At first, we transform each image to the neutrosophic space;then, we calculate weights between each two nodes and apply the Dijkstra algorithm in order to detect Retinal Pigment Epithelium (RPE) layer. Based on RPE localization and applying gamma correction and homomorphic filter to false set, we segment choroid layer by similar approach used for RPE. The proposed algorithm is tested on 32 EDI OCT images of Heidelberg 3D OCT Spectralis from 11 people and is compared with manual segmentation. The results showed an unsigned error of 3.34 pixels (12.9 µm) for macular images and 6.55 pixels (25.3 µm) for prepapillary images;which macular error is lower than two other methods (7.71 pixels and 9.79 pixels). Futhermore, the proposed method on prepapillary data is novel and published works are concentrated on macular data. Identification of the boundary can help to determine the loss or change of choroid, which can be used as features for automatic determination of the retinal diseases. Copyright © 2018, The Authors. All rights reserved.

关键词： Pixels

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Three-dimensional Optical Coherence Tomography image denoising through Multi-Input Fully-Convolutional Networks

arXiv

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arXiv 2018年

作者： Abbasi, Ashkan Monadjemi, Amirhassan Fang, Leyuan Rabbani, Hossein Zhang, Yi Artificial Intelligence Department Faculty of Computer Engineering University of Isfahan Isfahan Iran College of Electrical and Information Engineering Hunan University Changsha China Department of Biomedical Engineering Medical Image and Signal Processing Research Center School of Advanced Technologies in Medicine Isfahan University of Medical Sciences Isfahan Iran College of Computer Science Sichuan University Chengdu China

In recent years, there has been a growing interest in applying convolutional neural networks (CNNs) to low-level vision tasks such as denoising and super-resolution. Due to the coherent nature of the image formation process, optical coherence tomography (OCT) images are inevitably affected by noise. This paper proposes a new method named the multi-input fully-convolutional networks (MIFCN) for denoising of OCT images. In contrast to recently proposed natural image denoising CNNs, the proposed architecture allows the exploitation of high degrees of correlation and complementary information among neighboring OCT images through pixel by pixel fusion of multiple FCNs. The parameters of the proposed multi-input architecture are learned by considering the consistency between the overall output and the contribution of each input image. The proposed MIFCN method is compared with the state-of-the-art denoising methods adopted on OCT images of normal and age-related macular degeneration eyes in a quantitative and qualitative manner. Copyright © 2018, The Authors. All rights reserved.

关键词： Optical tomography

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Bifocal Technique Applied to Dual Transmitarray Antennas

Bifocal Technique Applied to Dual Transmitarray Antennas

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European Conference on Antennas and Propagation

作者： Eduardo Martinez-de-Rioja Jose A. Encinar Antonio Pino Borja Gonzalez-Valdes Sean V. Hum Carolina Tienda Giovanni Toso Information Processing and Telecomm. Center Universidad Politécnica de Madrid Spain Department of Signal Theory and Communications Universidad de Vigo Spain Dept. of Electrical and Computer Engineering University of Toronto Canada Antenna Group Airbus Defence & Space Stevenage United Kingdom Electromagnetics Division European Space Agency Noordwijk The Netherlands

The bifocal technique has been applied to dual transmitarray antennas in order to improve the performance of multi-beam satellite antennas in Ka-band. The use of a transmitarray design allows centered and rotationally symmetrical geometries to be used without blockage. Different dual transmitarray configurations have been studied for operation in transmission in Ka-band (20 GHz), and the bifocal technique has been evaluated for the generation of closely-spaced beams. The results of the simulations show that it is possible to achieve a high degree of beam compression, but at the cost of a reduction in the antenna radiation efficiency.

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Assessment of motor imagery in gamma band using a lower limb exoskeleton

Assessment of motor imagery in gamma band using a lower limb...

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IEEE International Conference on Systems, Man and Cybernetics

作者： M. Ortiz E. Iáñez J. Gaxiola A. Kilicarslan J.L. Contreras-Vidal J. M. Azorín Department of Electrical and Computer Engineering Noninvasive Brain–Machine Interface Systems Laboratory NSF IUCRC BRAIN Center University of Houston Houston United States of America Brain-Machine Interface Systems Lab Miguel Hernández University of Elche Av. Universidad S/N Ed. Innova. Elche España “Biomedical Signal Processing Laboratory” at Cinvestav Monterrey’s Unit (Mexico) and visitor Ph.D student in the Brain-Machine Interface Systems Lab Miguel Hernández University of Elche Spain

The use of a brain-machine interface (BMI) in combination with powered exoskeletons can assist patients with lower limb disabilities to walk again. These neurorobotic systems are commonly based on motor imagery, but their performance may suffer from lack of user engagement in the task or from cognitive load due to multi-tasking. The present paper shows a novel algorithm based on the gamma spectral band, using the Stockwell transform and a set of smoothing filters, to assess the quality of and improve the decoding of motor imagery during the use of a BMI-Rex exoskeleton system. The results computed in a pseudo-online scenario reveal a high accuracy with a very low false positive ratio.

关键词： Exoskeletons Electrodes Feature extraction Task analysis Brain-computer interfaces Legged locomotion Filtering algorithms

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Reduced Dimension Minimum BER PSK Precoding for Constrained Transmit signals in Massive MIMO

Reduced Dimension Minimum BER PSK Precoding for Constrained ...

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IEEE International Conference on Acoustics, Speech and signal processing

作者： A. Lee Swindlehurst Hela Jedda Inbar Fijalkowt Center for Pervasive Communications and Computing University of California Irvine Irvine CA 92697 USA Associate Professorship of Signal Processing Dept. of Electrical & Computer Engineering Technical University of Munich Munich 80290 Germany ETIS ENSEA CNRS Universitc Paris-Seine Universite Cergy-Pontoise Cergy F-95000 France

ISBN: (纸本)9781538646595

Recently a number of nonlinear precoding algorithms have been developed for designing a downlink transmit signal that is constrained by some nonlinearity, such as one-bit quantization, power-amplifier saturation or constant modulus. These methods use iterative search algorithms to directly design the signal that is transmitted from each antenna. Since the dimension of the search space equals the number of antennas, the computational complexity of these approaches can be high for massive MIMO scenarios. Thus, in this paper we pose the problem in a smaller dimensional space by constraining the signal prior to the nonlinearity to be the output of a linear precoder. The search is then over the vector of predistorted symbols at the input to the linear precoder, which is typically much smaller than the number of antennas. We focus on algorithms that minimize the bit error rate at the receivers, and show that performance can be obtained that is similar to algorithms that operate directly in the antenna domain.

关键词： one-bit quantization constant modulus massive MIMO linear precoding per-antenna power constraints minimum probability of error precoding

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Secure quantum communication in the presence of phase- and polarization-dependent loss

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Physical Review A 2018年第4期98卷 042324-042324页

作者： Chenyang Li Marcos Curty Feihu Xu Olinka Bedroya Hoi-Kwong Lo Center for Quantum Information and Quantum Control Department of Electrical & Computer Engineering and Department of Physics University of Toronto Toronto Ontario M5S 3G4 Canada Escuela de Ingeniería de Telecomunicación Department of Signal Theory and Communications University of Vigo Vigo E-36310 Spain Shanghai Branch Hefei National Laboratory for Physical Sciences at the Microscale University of Science and Technology of China Shanghai 201315 China

Silicon photonics holds the promise of the miniaturization of quantum communication devices. Recently, silicon chip optical transmitters for quantum key distribution (QKD) have been built and demonstrated experimentally. Nonetheless, these silicon chips suffer substantial phase- and polarization-dependent loss (PDL) which, if unchecked, could compromise the security of QKD systems due to overestimation of the secret key rate. Here, first, we restore the security by regarding single photons without phase and polarization dependence as untagged and secure qubits. Next, by using a postselection technique, we implement a secure QKD protocol that provides a high key generation rate even in the presence of severe phase- and polarization-dependent loss. Our solution is simple to realize in a practical experiment, as it does not require any hardware modification.

关键词： Quantum cryptography

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