2017 51st Asilomar Conference on Signals, Systems, and Computers最新文献_第5页

What to play next? A RNN-based music recommendation system 接下来玩什么?基于rnn的音乐推荐系统

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-01 DOI: 10.1109/ACSSC.2017.8335200

Miao Jiang, Ziyi Yang, Chen Zhao

引用次数: 16

Multipulse subspace detectors 多脉冲子空间探测器

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-01 DOI: 10.1109/ACSSC.2017.8335479

L. Scharf, Pooria Pakrooh

引用次数: 5

Reconstructing high-resolution cardiac MR movies from under-sampled frames 从欠采样帧重建高分辨率心脏MR电影

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-01 DOI: 10.1109/ACSSC.2017.8335553

L. Cattell, C. Meyer, F. Epstein, G. Rohde

引用次数: 2

Energy efficient beam-alignment in millimeter wave networks 毫米波网络中的高能效波束对准

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-01 DOI: 10.1109/ACSSC.2017.8335545

Muddassar Hussain, Nicolò Michelusi

{"title":"Energy efficient beam-alignment in millimeter wave networks","authors":"Muddassar Hussain, Nicolò Michelusi","doi":"10.1109/ACSSC.2017.8335545","DOIUrl":"https://doi.org/10.1109/ACSSC.2017.8335545","url":null,"abstract":"Millimeter wave communications rely on narrow-beam transmissions to cope with the strong signal attenuation at these frequencies, thus demanding precise beam-alignment between transmitter and receiver. The resulting signaling overhead may become excessive, especially in mobile environments. This paper addresses the energy efficient design of the beam-alignment protocol, with the goal of minimizing power consumption under a transmission rate constraint. The optimality of fractional search is proved, which allocates a given fraction of the interval of uncertainty on the mobile user's angular coordinate during beam-alignment. The fractional value is shown to be a function of the communication-sensing energy ratio: when large, a wider beam is selected and the fractional value approaches 1/2 (bisection); when small, a narrower beam is used to reduce the energy cost of sensing; finally, when smaller than 1/2, sensing is suboptimal. It is proved that the energy consumption under fractional search is smaller than that under bisection by at least a quantity proportional to the product of the minimum energy per radian used during beam-alignment, and the initial uncertainty on the mobile user's angular coordinate. Numerical results demonstrate a 2dB reduction in the average power consumption compared to bisection, for a wide range of rates.","PeriodicalId":296208,"journal":{"name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132852443","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: 12

Distributed center and coverage region estimation in wireless sensor networks using diffusion adaptation 基于扩散自适应的无线传感器网络分布式中心和覆盖区域估计

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-01 DOI: 10.1109/ACSSC.2017.8335575

Sai Zhang, C. Tepedelenlioğlu, A. Spanias

引用次数: 1

Array calibration in the presence of linear manifold distortion 存在线性流形畸变的阵列校准

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-01 DOI: 10.1109/ACSSC.2017.8335541

B. Friedlander

引用次数: 3

Impact of channel state information on wireless computing network control 信道状态信息对无线计算网络控制的影响

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-01 DOI: 10.1109/ACSSC.2017.8335394

Hao Feng, J. Llorca, A. Tulino, A. Molisch

引用次数: 1

Brain language: Uncovering functional connectivity codes 大脑语言:揭示功能连接代码

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-01 DOI: 10.1109/ACSSC.2017.8335565

V. Vergara, V. Calhoun

{"title":"Brain language: Uncovering functional connectivity codes","authors":"V. Vergara, V. Calhoun","doi":"10.1109/ACSSC.2017.8335565","DOIUrl":"https://doi.org/10.1109/ACSSC.2017.8335565","url":null,"abstract":"The functional connectivity within a specific set of brain networks (or domain) can assume different configurations known as domain states that change with time. Recently, we proposed an information theoretical framework that models the finite set of domain states as elements of an alphabet. Significant bits of information have been found to be shared among domains, but specific domain codification was not explored. This work describes a method to identify code words used to transmit and receive information between the cerebrum and the cerebellum based on dynamic domain connectivity estimated from functional magnetic resonance imaging (fMRI). Following the theory of jointly typical sets, the developed method identifies the codeword length and the specific combination of domain states on each codeword. Resting state fMRI data was taken from 121 subjects with no significant age difference between males and females. Group independent component analysis was utilized to identify important brain networks and group them in a cerebellum and six other domains representing the cerebrum. The amount of information between the cerebellum, the executive control and sensorimotor domains showed a statistically significant number of bits. The proposed method quantified specific temporal sequences of domain states encoded within bits shared between cerebellum and cerebrum.","PeriodicalId":296208,"journal":{"name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128882215","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

Glaucoma detection using texture features extraction 基于纹理特征提取的青光眼检测

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-01 DOI: 10.1109/ACSSC.2017.8335600

N. Kavya, K. Padmaja

{"title":"Glaucoma detection using texture features extraction","authors":"N. Kavya, K. Padmaja","doi":"10.1109/ACSSC.2017.8335600","DOIUrl":"https://doi.org/10.1109/ACSSC.2017.8335600","url":null,"abstract":"Glaucoma is a second leading cause of the disease in the world. The World Health Organization has estimated that by 2020, about 80 million people would suffer from glaucoma. As the disease progresses, it leads to structural changes in the Optic Nerve Head (ONH). Optic Nerve Head is the region which consists of Optic Cup and Optic Disc. The region of interest is extracted from the fundus image by using Hough Transformation. It is an automated way of segmentation used to obtain the accurate results and it replaces the manual segmentation. The k-mean clustering also used for segmentation which is another approach. From the segmented ONH, the different features like Gray Level Cooccurrence Matrix (GLCM) and Markov Random Field (MRF) are extracted. As the structural changes taken place in ONH, the texture and the intensity values also changes. The features are used to classify the images as normal and glaucoma. The algorithm speed increases by applying the technique on region of interest instead of using complete image directly. Hence the algorithm results about 94% of accuracy in segmentation using Hough Transform, 84% for segmentation using k-means clustering and about 86% for classification using support vector machine.","PeriodicalId":296208,"journal":{"name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115189321","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: 26

A robust adaptive binaural beamformer for hearing devices 一种用于听力设备的鲁棒自适应双耳波束形成器

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-01 DOI: 10.1109/ACSSC.2017.8335691

Jinjun Xiao, Z. Luo, I. Merks, Zhang Tao

{"title":"A robust adaptive binaural beamformer for hearing devices","authors":"Jinjun Xiao, Z. Luo, I. Merks, Zhang Tao","doi":"10.1109/ACSSC.2017.8335691","DOIUrl":"https://doi.org/10.1109/ACSSC.2017.8335691","url":null,"abstract":"In a hearing aid application, the performance of an adaptive beamformer is sensitive to errors in the acoustic transfer function or noise estimation. The estimation errors can be caused by factors including the head movement of the hearing aid users, non-stationarity of the environment, or imperfect array calibration. With such inaccurate information, the beamformer not only provides less noise reduction, but also causes undesirable speech distortions. To improve the beamformers performance in such conditions, robust beam-forming algorithms have been proposed in the literature. In particular, to minimize the speech distortions caused by imperfect look direction estimation, a robust binaural beam-forming algorithm has been proposed in [1]. This algorithm utilizes constrained optimization to improve the protection of the target speech. The beamforming adaption is based on a low-complexity iteration method called Alternating Direction Method of Multipliers (ADMM). This paper aims for evaluating the proposed binaural beamforming algorithm by comparing its performance with the Minimum Variance Distortionless Response (MVDR) beamformer in various noisy environments. The benefit of the proposed algorithm is demonstrated through both objective and subjective evaluations. In particular, multiple-microphone recordings on a pair of binaural hearing aids on a mannequin are used. Objective perception scores are calculated and compared. In addition, a subjective evaluation of speech intelligibility using normal-hearing listeners is conducted. Both the objective and subjective evaluation results show the robustness of the proposed algorithm.","PeriodicalId":296208,"journal":{"name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124224351","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