2016 IEEE International Conference on Digital Signal Processing (DSP)最新文献_第2页

Graph-based transform for data decorrelation 基于图的数据解相关变换

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868540

Junhui Hou, Hui Liu, Lap-Pui Chau

引用次数: 7

Double JPEG detection using high order statistic features 双JPEG检测使用高阶统计特征

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868618

Shumei Shang, Yao Zhao, R. Ni

引用次数: 5

Modelling economic stress through financial systemic balance index 通过金融系统平衡指数模拟经济压力

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868621

Alicia Carrion Garcia, Theerasak Chanwimalueang, G. G. Calvi, A. Hemakom, Ramón Miralles Ricós, D. Mandic

引用次数: 2

Incorporating negentropy in saliency-based search free car number plate localization 基于显著性搜索的负熵车牌定位

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868642

A. Safaei, H. Tang, S. Sanei

引用次数: 1

Person identification from lip texture analysis 基于唇纹分析的人物识别

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868602

Zhihe Lu, Xiang Wu, R. He

引用次数: 8

Low-latency software successive cancellation list polar decoder using stage-located copy 低延迟软件逐次取消列表极性解码器，采用分段复制

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868521

Yifei Shen, Chuan Zhang, Junmei Yang, Shunqing Zhang, X. You

引用次数: 18

Monitoring tibialis anterior responses of post-stroke patients under electroacupuncture therapy with inertial sensors 电针治疗脑卒中后患者胫骨前肌反应的惯性传感器监测

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868572

Yongjin Zhou, Xiaojuan Yang, Jianghuai Xiang, Wenxiu Shi, Xudong Zhang, Qing He, Guo Dan, Xin Chen, Qiao Wang, Wanzhang Yang, Jinyong Zhang

{"title":"Monitoring tibialis anterior responses of post-stroke patients under electroacupuncture therapy with inertial sensors","authors":"Yongjin Zhou, Xiaojuan Yang, Jianghuai Xiang, Wenxiu Shi, Xudong Zhang, Qing He, Guo Dan, Xin Chen, Qiao Wang, Wanzhang Yang, Jinyong Zhang","doi":"10.1109/ICDSP.2016.7868572","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868572","url":null,"abstract":"Electroacupuncture (EA) is often used in China for treatment of muscle spasticity in post-stroke patients, however the duration of EA stimulation is decided subjectively currently since there is no objective means of outcome monitoring for EA. To explore a potential prompt monitoring technique for EA, inertial sensor system is used in this study on tibialis anterior (TA) muscle under EA therapy among 4 volunteered patients. The module of inertial sensor system is deployed onto the tiptoe to monitor the response of TA during EA stimulation. Totally 18 valid datasets are acquired including both those from 3-axes accelerators and 3-axes gyroscopes in the experiments. The root-mean-square (RMS), average rectified value (ARV) and mean power frequency (MPF) for the accelerator signals and the dynamic range of the tiptoe relative angle (DRA) for the gyroscope signals are then computed. It's found that after EA treatment, the dynamic range of TA response decreased in terms of RMS, ARV and DRA, while MPF of the accelerator signals increased. The inertial sensors, as wearable they are, might add a promising objective monitoring means of EA therapy, suggested by the results in the preliminary study.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127073768","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

Fast Aircraft Detection Using End-to-End Fully Convolutional Network 基于端到端全卷积网络的快速飞机检测

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868532

Ting-Bing Xu, Guangliang Cheng, Jie Yang, Cheng-Lin Liu

{"title":"Fast Aircraft Detection Using End-to-End Fully Convolutional Network","authors":"Ting-Bing Xu, Guangliang Cheng, Jie Yang, Cheng-Lin Liu","doi":"10.1109/ICDSP.2016.7868532","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868532","url":null,"abstract":"Aircraft detection from remote sensing images of complex background is a challenging task. Existing aircraft detection methods usually consist of two separated stages: proposal generation and window classification, which may be suboptimal for the aircraft detection task. To overcome this shortcoming, we propose a unified aircraft detection framework to simultaneously predict aircraft bounding boxes and class probabilities directly from an arbitrary-sized remote sensing image. Specifically, an end-to-end fully convolutional network (FCN) replaces the fully connected layers in traditional convolutional neural network (CNN). This can greatly reduce the model size while obtaining the comparable detection accuracy. To directly detect aircrafts under multiple scales and different aspect ratios, multiple referenced boxes are introduced. The whole framework can be optimized end-to-end by minimizing a multi-task loss. Extensive experiments on a common dataset demonstrate that the proposed method yields much lower false alarm rates at different recall rates than the state-of-the-art methods, and its speed is more than 35 times faster than the compared methods.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114747051","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: 15

Matrix completion based direction-of-arrival estimation in nonuniform noise 非均匀噪声下基于矩阵补全的到达方向估计

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868517

B. Liao, Chongtao Guo, Lei Huang, J. Wen

引用次数: 25

Regularized LAD algorithms for sparse time-varying system identification with outliers 带离群值的稀疏时变系统辨识的正则化LAD算法

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868630

Fuxi Wen, W. Liu

引用次数: 0