2019 53rd Asilomar Conference on Signals, Systems, and Computers最新文献_第9页

On Stability of Linear Estimators in Poisson Noise 泊松噪声下线性估计量的稳定性

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048782

Alex Dytso, H. Poor

引用次数: 2

Simple Iterative Algorithms for Approximate And Bounded Parameter Orthonormality 近似和有界参数正交性的简单迭代算法

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9049063

S. Douglas, Yu Hong

引用次数: 1

A 2.5d Yolo-Based Fusion Algorithm for 3d Localization Of Cells 基于2.5d yolo的细胞三维定位融合算法

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048710

A. Ziabari, Derek C. Rose, Matthew R. Eicholtz, D. Solecki, A. Shirinifard

{"title":"A 2.5d Yolo-Based Fusion Algorithm for 3d Localization Of Cells","authors":"A. Ziabari, Derek C. Rose, Matthew R. Eicholtz, D. Solecki, A. Shirinifard","doi":"10.1109/IEEECONF44664.2019.9048710","DOIUrl":"https://doi.org/10.1109/IEEECONF44664.2019.9048710","url":null,"abstract":"Advances in microscopy techniques such as lattice-light-sheet, confocal, two-photon, and electron microscopy have enabled the visualization of 3D image volumes of tightly packed cells, extracellular structures in tissues, organelles, and subcellular components inside cells. These images sampled by 2D projections are often not accurately interpreted even by human experts. As a use case we focus on 3D image volumes of tightly packed nuclei in brain tissue. Due to out-of-plane excitation and low resolution in the z-axis, non-overlapping cells appear as overlapping 3D volumes and make detecting individual cells challenging. On the other hand, running 3D detection algorithms is computationally expensive and infeasible for large datasets. In addition, most existing 3D algorithms are designed to extract 3D objects by identifying the depth in the 2D images. In this work, we propose a YOLO-based 2.5D fusion algorithm for 3D localization of individual cells in densely packed volumes of nuclei. The proposed method fuses 2D detection of nuclei in sagittal, coronal, and axial planes and predicts six coordinates of the 3D bounding cubes around the detected 3D cells. Promising results were obtained on multiple examples of synthetic dense volumes of nuclei imitating confocal microscopy experimental datasets.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"37 1","pages":"2185-2190"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74178709","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: 2

Optimal replay-based channel simulation via dithering methods 基于抖动方法的最优重播信道仿真

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9049034

Sijung Yang, A. Singer

引用次数: 0

Tensor Data Conformity Evaluation for Interference-Resistant Localization 抗干扰定位的张量数据一致性评估

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048697

Konstantinos Tountas, George Sklivanitis, D. Pados, M. Medley

{"title":"Tensor Data Conformity Evaluation for Interference-Resistant Localization","authors":"Konstantinos Tountas, George Sklivanitis, D. Pados, M. Medley","doi":"10.1109/IEEECONF44664.2019.9048697","DOIUrl":"https://doi.org/10.1109/IEEECONF44664.2019.9048697","url":null,"abstract":"We consider the problem of robust, interference-resistant localization in GPS-denied environments. Each asset to be self-localized is equipped with an antenna array and leverages time-domain coded beacon signals from anchor nodes that are placed at known locations. Collected data snapshots over time at the antenna array are organized in a tensor data structure. The conformity of the received tensor data is evaluated through iterative projections on robust, high-confidence data feature characterizations that are returned by L1-norm tensor subspaces. Non-conforming tensor slabs are more likely to be contaminated by irregular, highly deviating measurements due to interference, thus they are removed from the received dataset. Subsequently, we estimate the direction-of-arrival of the beacon signals by using L2-norm and L1-norm tensor decomposition techniques on the conformity-adjusted dataset. Finally, the relative position of the asset to the anchor nodes is estimated via triangulation. We consider two anchor nodes, one interferer, and one asset to be self-localized using radio frequency signals at the 2.4 GHz ISM band in an indoor laboratory environment. We evaluate the performance of the proposed localization system in terms of angle-of-arrival estimation accuracy experimental measurements from a software-defined radio testbed.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"16 1","pages":"1582-1586"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74469578","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: 3

All-Digital Massive MIMO Uplink and Downlink Rates under a Fronthaul Constraint 前传约束下的全数字大规模MIMO上行和下行速率

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048859

Yasaman Ettefagh, Sven Jacobsson, Anzhong Hu, G. Durisi, Christoph Studer

{"title":"All-Digital Massive MIMO Uplink and Downlink Rates under a Fronthaul Constraint","authors":"Yasaman Ettefagh, Sven Jacobsson, Anzhong Hu, G. Durisi, Christoph Studer","doi":"10.1109/IEEECONF44664.2019.9048859","DOIUrl":"https://doi.org/10.1109/IEEECONF44664.2019.9048859","url":null,"abstract":"We characterize the rate achievable in a bidirectional quasi-static link where several user equipments communicate with a massive multiple-input multiple-output base station (BS). In the considered setup, the BS operates in full-digital mode, the physical size of the antenna array is limited, and there exists a rate constraint on the fronthaul interface connecting the (possibly remote) radio head to the digital baseband processing unit. Our analysis enables us to determine the optimal resolution of the analog-to- digital and digital-to-analog converters as well as the optimal number of active antenna elements to be used in order to maximize the transmission rate on the bidirectional link, for a given constraint on the outage probability and on the fronthaul rate. We investigate both the case in which perfect channel-state information is available, and the case in which channel-state information is acquired through pilot transmission, and is, hence, imperfect. For the second case, we present a novel rate expression that relies on the generalized mutual-information framework.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"40 1","pages":"416-420"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74557334","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: 2

FedDANE: A Federated Newton-Type Method FedDANE:联邦牛顿型方法

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9049023

Tian Li, Anit Kumar Sahu, M. Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith

引用次数: 108

Practically Constrained Waveform Design for MIMO Radar in the Presence of Multiple Targets 多目标条件下MIMO雷达实际约束波形设计

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048984

Xianxiang Yu, Khaled Alhujaili, G. Cui, V. Monga

{"title":"Practically Constrained Waveform Design for MIMO Radar in the Presence of Multiple Targets","authors":"Xianxiang Yu, Khaled Alhujaili, G. Cui, V. Monga","doi":"10.1109/IEEECONF44664.2019.9048984","DOIUrl":"https://doi.org/10.1109/IEEECONF44664.2019.9048984","url":null,"abstract":"This paper deals with the joint design of Multiple-Input Multiple-Output (MIMO) radar transmit waveform and receive filter to enhance multiple targets detectability in the presence of signal-dependent (clutter) and independent disturbance. The worst-case Signal-to-Interference-Noise-Ratio (SINR) over multiple targets is explicitly maximized. To ensure hardware compatibility and the coexistence between MIMO radar and other wireless systems, constant modulus and spectral restrictions on the waveform are incorporated in our design. A max-min non-convex optimization problem emerges as a function of the transmit waveform, which we solve via a novel polynomial-time iterative procedure that involves solving a sequence of convex problems with constraints that evolve with every iteration. We provide analytical guarantees of monotonic cost function improvement with proof of convergence to a solution that satisfies the KarushKuhnTucker (KKT) conditions. By simulating challenging practical scenarios, we evaluate the proposed algorithm against the state-of-the-art methods in terms of the achieved SINR value and the computational complexity.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"53 1","pages":"1539-1544"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77125341","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: 0

Spatial Properties of Industrial Wireless Ultra-Reliable Low-Latency Communication MIMO Links 工业无线超可靠低延迟通信MIMO链路的空间特性

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048729

Stefan Zelenbaba, M. Hofer, David Löschenbrand, Georg Kail, Martin Schiefer, T. Zemen

引用次数: 11

A Hybrid Sensing and Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications 一种用于车对车通信的混合传感和强化学习调度

2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048691

T. Şahin, Mate Boban, R. Khalili, A. Wolisz

引用次数: 1