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检索条件"机构=Signal Compression Laboratory Department of Electrical and Computer Engineering"
948 条 记 录,以下是201-210 订阅
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Design of Series/Series-Parallel Compensated Inductive Power Transfer Converter as Wireless Grid to Vehicle Interface
Design of Series/Series-Parallel Compensated Inductive Power...
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IEEE Conference on Vehicle Power and Propulsion (VPPC)
作者: Zhicong Huang Zhijian Fang Chi-Seng Lam Pui-In Mak Rui P. Martins State Key Laboratory of Analog and Mixed-Signal VLSI University of Macau Macao China School of Automation China University of Geosciences (Wuhan) Wuhan China Institute of Microelectronics University of Macau Macao China Department of Electrical and Computer Engineering University of Macau Macao China Instituto Superior Técnico Universidade de Lisboa Lisbon Portugal
Inductive power transfer (IPT) converter is increasingly popular as a form of wireless grid to vehicle (G2V) interface. Compared with conventional plug-in interface, wireless G2V interface without physical contact is ... 详细信息
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AIM 2019 challenge on real-world image super-resolution: Methods and results
arXiv
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arXiv 2019年
作者: Lugmayr, Andreas Danelljan, Martin Timofte, Radu Fritsche, Manuel Gu, Shuhang Purohit, Kuldeep Kandula, Praveen Suin, Maitreya Rajagopalan, A.N. Joon, Nam Hyung Won, Yu Seung Kim, Guisik Kwon, Dokyeong Hsu, Chih-Chung Lin, Chia-Hsiang Huang, Yuanfei Sun, Xiaopeng Lu, Wen Li, Jie Gao, Xinbo Bell-Kligler, Sefi Computer Vision Lab ETH Zurich Indian Institute Of Technology Madras India Image Communication & Signal Processing Laboratory Hanyang University Seoul Korea Republic of CVML Chung-Ang University Department Management Information Systems National Pingtung University of Science and Technology Department of Electrical Engineering National Cheng-Kung University Xidian University Weizmann Institute of Science Israel
This paper reviews the AIM 2019 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-resol... 详细信息
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POLAR SEA ICE THICKNESS AND MELT POND FRACTION MEASUREMENTS WITH MULTI-FREQUENCY BISTATIC RADAR POLARIMETRIC AND INTERFEROMETRIC REFLECTOMETRY
POLAR SEA ICE THICKNESS AND MELT POND FRACTION MEASUREMENTS ...
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IEEE International Geoscience and Remote Sensing Symposium
作者: Son V. Nghiem Donald K. Perovich Christopher Polashenski Stephen T. Lowe Rashmi Shah Anthony J. Mannucci Adriano Camps Estel Cardellach Leung Tsang Jiyue Zhu Shurun Tan Jet Propulsion Laboratory California Institute of Technology Pasadena California USA Thayer School of Engineering Dartmouth College Hanover New Hampshire USA Cold Regions Research and Engineering Laboratory Hanover New Hampshire USA Department of Signal Theory and Communications Univ. Politècnica de Catalunya Barcelona Spain Instituto de Ciencias del Espacio (ICE-CSIC/IEEC) Barcelona Spain Department of Electrical Eng. and Computer Sci. Univ. of Michigan Ann Arbor Michigan USA
Arctic and Antarctic sea ice covers are in a sharp contrast in terms of characteristics, distributions, and processes with a drastic decrease in the Arctic versus the opposite increase in the Antarctic in a changing c... 详细信息
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Publisher Correction: Brain imaging with portable low-field MRI
Nature Reviews Bioengineering
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Nature Reviews Bioengineering 2023年 680页
作者: W. Taylor Kimberly Annabel J. Sorby-Adams Andrew G. Webb Ed X. Wu Rachel Beekman Kevin N. Sheth Ritvij Bowry Steven J. Schiff Adam de Havenon Francis X. Shen Gordon Sze Pamela Schaefer Juan Eugenio Iglesias Matthew S. Rosen Department of Neurology and the Center for Genomic Medicine Massachusetts General Hospital and Harvard Medical School Boston MA USA Department of Radiology Leiden University Medical Center Leiden The Netherlands Laboratory of Biomedical Imaging and Signal Processing Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong SAR China Division of Neurocritical Care and Emergency Neurology Department of Neurology Yale New Haven Hospital and Yale School of Medicine Yale Center for Brain & Mind Health New Haven CT USA Departments of Neurosurgery and Neurology McGovern Medical School University of Texas Health Neurosciences Houston TX USA Department of Neurosurgery Yale School of Medicine New Haven CT USA Division of Vascular Neurology Department of Neurology Yale New Haven Hospital and Yale School of Medicine New Haven CT USA Harvard Medical School Center for Bioethics Harvard law School Boston MA USA Department of Psychiatry Massachusetts General Hospital Boston MA USA Department of Radiology Yale New Haven Hospital and Yale School of Medicine New Haven CT USA Division of Neuroradiology Department of Radiology Massachusetts General Hospital and Harvard Medical School Boston MA USA Athinoula A. Martinos Center for Biomedical Imaging Department of Radiology Massachusetts General Hospital and Harvard Medical School Boston MA USA Centre for Medical Image Computing University College London London UK Computer Science and AI Laboratory Massachusetts Institute of Technology Boston MA USA
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058 mm2 13 Gbit/s inductorless analogue equaliser with low-frequency equalisation compensating 15 dB channel loss
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Electronics Letters 2018年 第2期54卷 72-74页
作者: Balachandran, Arya Chen, Yong Choi, Pilsoon Boon, Chirn Chye VIRTUS School of Electrical and Electronic Engineering Nanyang Technological University Singapore State-Key Laboratory of Analog and Mixed-Signal University of Macau C-Macao China Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA United States
An inductorless 13 Gbit/s analogue equaliser with an additional low-frequency equalisation (LFEQ) to counter the low-frequency channel losses is presented. An active feedback topology for the proposed equaliser togeth... 详细信息
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Linear Degrees of Freedom for K-user MISO Interference Channels With Blind Interference Alignment
Linear Degrees of Freedom for K-user MISO Interference Chann...
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作者: Yang, Heecheol Shin, Wonjae Lee, Jungwoo Wireless Signal Processing Laboratory Department of Electrical and Computer Engineering Seoul National University Seoul08826 Korea Republic of
In this paper, we characterize the degrees of freedom (DoF) for K-user M × 1 multiple-input single-output interference channels with reconfigurable antennas, which have N-preset modes at the receivers, assuming l... 详细信息
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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
arXiv
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arXiv 2021年
作者: Mehta, Raghav Filos, Angelos Baid, Ujjwal Sako, Chiharu McKinley, Richard Rebsamen, Michael Dätwyler, Katrin Meier, Raphael Radojewski, Piotr Murugesan, Gowtham Krishnan Nalawade, Sahil Ganesh, Chandan Wagner, Ben Yu, Fang F. Fei, Baowei Madhuranthakam, Ananth J. Maldjian, Joseph A. Daza, Laura Gómez, Catalina Arbeláez, Pablo Dai, Chengliang Wang, Shuo Reynaud, Hadrien Mo, Yuanhan Angelini, Elsa Guo, Yike Bai, Wenjia Banerjee, Subhashis Pei, Linmin Murat, A.K. Rosas-González, Sarahi Zemmoura, Ilyess Tauber, Clovis Vu, Minh H. Nyholm, Tufve Löfstedt, Tommy Ballestar, Laura Mora Vilaplana, Veronica McHugh, Hugh Talou, Gonzalo Maso Wang, Alan Patel, Jay Chang, Ken Hoebel, Katharina Gidwani, Mishka Arun, Nishanth Gupta, Sharut Aggarwal, Mehak Singh, Praveer Gerstner, Elizabeth R. Kalpathy-Cramer, Jayashree Boutry, Nicolas Huard, Alexis Vidyaratne, Lasitha Rahman, Md Monibor Iftekharuddin, Khan M. Chazalon, Joseph Puybareau, Elodie Tochon, Guillaume Ma, Jun Cabezas, Mariano Llado, Xavier Oliver, Arnau Valencia, Liliana Valverde, Sergi Amian, Mehdi Soltaninejad, Mohammadreza Myronenko, Andriy Hatamizadeh, Ali Feng, Xue Dou, Quan Tustison, Nicholas Meyer, Craig Shah, Nisarg A. Talbar, Sanjay Weber, Marc-André Mahajan, Abhishek Jakab, Andras Wiest, Roland Fathallah-Shaykh, Hassan M. Nazeri, Arash Milchenko, Mikhail Marcus, Daniel Kotrotsou, Aikaterini Colen, Rivka Freymann, John Kirby, Justin Davatzikos, Christos Menze, Bjoern Bakas, Spyridon Gal, Yarin Arbel, Tal McGill University MontrealQC Canada Group University of Oxford Oxford United Kingdom University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine The University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States University Institute of Diagnostic and Interventional Neuroradiology University of Bern Inselspital Bern University Hospital Bern Switzerland Department of Radiology University of Texas Southwestern Medical Center DallasTX United States Department of Bioengineering University of Texas DallasTX United States Advanced Imaging Research Center University of Texas Southwestern Medical Center DallasTX United States Universidad de los Andes Bogotá Colombia Data Science Institute Imperial College London London United Kingdom NIHR Imperial BRC ITMAT Data Science Group Imperial College London London United Kingdom Department of Brain Sciences Imperial College London London United Kingdom Machine Intelligence Unit Indian Statistical Institute Kolkata India Department of CSE University of Calcutta Kolkata India Department of Information Technology Uppsala University Uppsala Sweden Department of Diagnostic Radiology The University of Pittsburgh Medical Center PittsburghPA United States UMR U1253 iBrain Université de Tours Inserm Tours France Department of Radiation Sciences Umeå University Umeå Sweden Department of Computing Science Umeå University Umeå Sweden Signal Theory and Communications Department Universitat Politècnica de Catalunya Barcelona Tech Barcelona Spain Faculty of Medical and Health Sciences University of Auckland Auckland New Zealand Radiology Department Auckland City Hospital Auckland New Zealand Auckland Bioengineering Institute University of Auckland New Zealand Athinoula A. Martinos Center for Biomedical Imaging Department of Radiology
Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges. However, the task of focal pathology ... 详细信息
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An Efficient Successive Cancellation Polar Decoder Based on New Folding Approaches  12
An Efficient Successive Cancellation Polar Decoder Based on ...
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2017 IEEE 12th International Conference on ASIC
作者: Xiao Liang Yechao She Harish Vangala Xiaohu You Chuan Zhang Emanuele Viterbo Lab of Efficient Architectures for Digital-communication and Signal-processing(LEADS) National Mobile Communications Research Laboratory Southeast University Department of Electronic and Computer Engineering HKUST Department of Electrical and Computer Systems Engineering Monash University
In this paper,an efficient successive cancellation(SC) polar decoder based on new folding approaches is *** main approach of this paper is called k-level decomposition with 2 *** k and p,the derived architecture can h... 详细信息
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Neural Signatures of Motor Skill in the Resting Brain
Neural Signatures of Motor Skill in the Resting Brain
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IEEE International Conference on Systems, Man and Cybernetics
作者: Ozan Özdenizci Timm Meyer Felix Wichmann Jan Peters Bernhard Schölkopf Müjdat Çetin Moritz Grosse-Wentrup Department of Electrical and Computer Engineering Northeastern University Boston MA United States Max Planck Institute for Intelligent Systems Tübingen Germany Faculty of Science University of Tübingen and Bernstein Center for Computational Neuroscience Tübingen Tübingen Germany FG Intelligente Autonome Systeme Technische Universität Darmstadt Darmstadt Germany Signal Processing and Information Systems Laboratory Faculty of Engineering and Natural Sciences Sabanci University Istanbul Turkey
Stroke-induced disturbances of large-scale cortical networks are known to be associated with the extent of motor deficits. We argue that identifying brain networks representative of motor behavior in the resting brain... 详细信息
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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 l... 详细信息
来源: 评论