2019 53rd Asilomar Conference on Signals, Systems, and Computers最新文献_第2页

A Modified Logistic Regression for Positive and Unlabeled Learning 一种改进的逻辑回归方法用于正学习和无标签学习

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048765

Kristen Jaskie, C. Elkan, A. Spanias

引用次数: 12

Scan-Specific Residual Convolutional Neural Networks for Fast MRI Using Residual RAKI 基于残差RAKI的快速MRI扫描特异性残差卷积神经网络

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048706

Chi Zhang, S. A. Hosseini, S. Moeller, Sebastian Weingärtner, K. Uğurbil, M. Akçakaya

{"title":"Scan-Specific Residual Convolutional Neural Networks for Fast MRI Using Residual RAKI","authors":"Chi Zhang, S. A. Hosseini, S. Moeller, Sebastian Weingärtner, K. Uğurbil, M. Akçakaya","doi":"10.1109/IEEECONF44664.2019.9048706","DOIUrl":"https://doi.org/10.1109/IEEECONF44664.2019.9048706","url":null,"abstract":"Parallel imaging is a widely-used acceleration technique for magnetic resonance imaging (MRI). Conventional linear reconstruction approaches in parallel imaging suffer from noise amplification. Recently, a non-linear method that utilizes subject- specific convolutional neural networks for k-space reconstruction, Robust Artificial-neural-networks for k-space Interpolation (RAKI) was proposed and shown to improve noise resilience over linear methods. However, the linear convolutions still provide a sufficient baseline image quality and interpretability. In this paper, we sought to utilize a residual network architecture to combine the benefits of both the linear and non-linear RAKI reconstructions. This hybrid method, called residual RAKI (rRAKI) offers significant improvement in image quality compared to linear method, and improves upon RAKI in highly- accelerated simultaneous multi-slice imaging. Furthermore, it establishes an interpretable view for the use of CNNs in parallel imaging, as the CNN component in the residual network removes the noise amplification arising from the linear part.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"9 1","pages":"1476-1480"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78509011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Super-Directive Antenna Arrays: Fundamentals and New Perspectives 超级指令天线阵列:基本原理和新观点

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048753

T. Marzetta

{"title":"Super-Directive Antenna Arrays: Fundamentals and New Perspectives","authors":"T. Marzetta","doi":"10.1109/IEEECONF44664.2019.9048753","DOIUrl":"https://doi.org/10.1109/IEEECONF44664.2019.9048753","url":null,"abstract":"Wireless power transfer between an array of antennas and a single-antenna terminal is governed by matrix circuit theory. A complex-valued, non-conjugate symmetric impedance matrix constitutes a complete quantitative description of the system. The real-part of the impedance matrix is non-negative definite. The efficiency with which power can be transferred-either down-link (from the antenna array to the single-antenna terminal) or up-link (from the terminal to the array) is equal to the ratio of received power to transmitted power. The maximization of power transfer efficiency with respect to the joint transmit/receive activities yields the fact that the optimized up-link efficiency is equal to the optimized down-link efficiency. The typical operation of antenna arrays seeks to minimize mutual coupling among the constituent antennas by spacing the antennas at least half of a wave-length apart, which yields an array gain proportional to the number of antennas. By utilizing closer spacing, and deliberately creating strong mutual coupling, in principle it is possible to realize considerably higher array gains for the same number of antennas, a phenomenon called super-directivity. Practical super-directivity would benefit not only wireless communications, but also wireless power transfer.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"56 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79826464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 24

Short-Packet Transmission over a Bidirectional Massive MIMO link 双向大规模MIMO链路上的短包传输

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048838

Johan Östman, A. Lancho, G. Durisi

引用次数: 4

Entropy-Based Non-Data-Aided SNR Estimation 基于熵的非数据辅助信噪比估计

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048732

Ferran de Cabrera, J. Riba

引用次数: 2

Joint User Clustering and Content Caching with Heterogeneous User Content Preferences 基于异构用户内容偏好的联合用户聚类和内容缓存

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048847

Feng Chiu, Ting-Yu Kuo, Feng-Tsun Chien, Wan-Jen Huang, Min-Kuan Chang

引用次数: 1

Sparse Code-Domain Non-Orthogonal Random Access with Peeling Decoder 带剥离解码器的稀疏码域非正交随机存取

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9049075

Johannes Dommel, Z. Utkovski, L. Thiele, S. Stańczak

引用次数: 3

Bipartite Structured Gaussian Graphical Modeling via Adjacency Spectral Priors 基于邻接谱先验的二部结构高斯图形建模

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048752

Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, D. Palomar

引用次数: 3

A Design Framework for Invertible Logic 可逆逻辑的设计框架

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048700

N. Onizawa, Kaito Nishino, S. C. Smithson, B. Meyer, W. Gross, Hitoshi Yamagata, Hiroyuki Fujita, T. Hanyu

引用次数: 14

Coupled Block-term Tensor Decomposition Based Blind Spectrum Cartography 基于块项张量分解的盲光谱制图

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048667

Guoyong Zhang, Xiao Fu, Jun Wang, Mingyi Hong

{"title":"Coupled Block-term Tensor Decomposition Based Blind Spectrum Cartography","authors":"Guoyong Zhang, Xiao Fu, Jun Wang, Mingyi Hong","doi":"10.1109/IEEECONF44664.2019.9048667","DOIUrl":"https://doi.org/10.1109/IEEECONF44664.2019.9048667","url":null,"abstract":"Spectrum cartography aims at estimating the pattern of wideband signal power propagation over a region of interest (i.e. the radio map)—from limited samples taken sparsely over the region. Classical cartography methods are mostly concerned with recovering the aggregate radio frequency (RF) information while ignoring the constituents of the radio map— but fine-grained emitter-level RF information is of great interest. In addition, most existing cartography methods are based on random geographical sampling that is considered difficult to implement in some cases, due to legal/privacy/security issues. The theoretical aspects (e.g., identifiability of the radio map) of many existing methods are also unclear. In this work, we propose a radio map disaggregation method that is based on coupled block-term tensor decomposition. Our method guarantees identifiability of the individual wideband radio map of each emitter in the geographical region of interest (thereby that of the aggregate radio map as well), under some realistic conditions. The identifiability result holds under a large variety of geographical sampling patterns, including many pragmatic systematic sampling strategies. We also propose an effective optimization algorithm to carry out the formulated coupled tensor decomposition problem.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"14 1","pages":"1644-1648"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86115653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4