发布求助
文献互助 智能选刊 最新文献

2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)最新文献

筛选
英文 中文
Through-the-wall radar imaging based on modified Bayesian compressive sensing 基于改进贝叶斯压缩感知的穿壁雷达成像
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889238
Qisong Wu, Yimin D. Zhang, M. Amin, F. Ahmad
{"title":"Through-the-wall radar imaging based on modified Bayesian compressive sensing","authors":"Qisong Wu, Yimin D. Zhang, M. Amin, F. Ahmad","doi":"10.1109/ChinaSIP.2014.6889238","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889238","url":null,"abstract":"In this paper, a novel modified complex multi-task Bayesian compressive sensing (MCMT-BCS) algorithm is proposed to acquire high-resolution images in stepped-frequency through-the-wall radar imaging (TWRI) exploiting multipath. Unlike traditional TWRI approaches that assume frequency-independent scattering model, we develop a practical subband scattering model to characterize real-world scattering mechanisms. The target imaging is reformulated as a multi-task sparse signal recovery problem across all frequency subbands as well as multipath modes, where the sparse entries of each task share the same support in the imaged scene. The proposed MCMT-BCS algorithm accounts for both types of coexisting group sparsity to achieve improved high-resolution imaging capability. Simulation results verify the effectiveness of the proposed algorithm.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125844021","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: 22
Classification of non-time-locked rapid serial visual presentation events for brain-computer interaction using deep learning 基于深度学习的脑机交互非时间锁定快速连续视觉呈现事件分类
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889297
Z. Mao, Vernon J. Lawhern, L. M. Merino, Kenneth Ball, L. Deng, Brent Lance, K. Robbins, Yufei Huang
{"title":"Classification of non-time-locked rapid serial visual presentation events for brain-computer interaction using deep learning","authors":"Z. Mao, Vernon J. Lawhern, L. M. Merino, Kenneth Ball, L. Deng, Brent Lance, K. Robbins, Yufei Huang","doi":"10.1109/ChinaSIP.2014.6889297","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889297","url":null,"abstract":"Deep learning solutions based on deep neural networks (DNN) and deep stack networks (DSN) were investigated for classifying target images in a non-time-locked rapid serial visual presentation (RSVP) image target identification task using EEG. Several feature extraction methods associated with this task were implemented and tested for deep learning, where a sliding window method using the trained classifier was used to predict the occurrence of target events in a non-time-locked fashion.. The deep learning algorithms explored based on deep stacking networks were able to improve the error rate by about 5% over existing algorithms such as linear discriminant analysis (LDA) for this task. Initial test results also showed that this method based on deep stacking networks for non-time-locked classification can produce an error rate close to that achieved for time-locked classification, thus illustrating the power of deep learning for complex feature spaces.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"18 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132393900","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: 10
Non-parametric orthogonal slice to volume deformable registration: Application to PET/MR respiratory motion compensation 非参数正交切片与体积可变形配准:在PET/MR呼吸运动补偿中的应用
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889299
S. Miao, Z. J. Wang, Rui Liao
{"title":"Non-parametric orthogonal slice to volume deformable registration: Application to PET/MR respiratory motion compensation","authors":"S. Miao, Z. J. Wang, Rui Liao","doi":"10.1109/ChinaSIP.2014.6889299","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889299","url":null,"abstract":"The recent advance of hybrid PET/MR system enables MR-based motion correction of PET data. In this paper, we propose a PET/MR motion compensation (MC) strategy and a non-parametric orthogonal slice to volume deformable registration technique for respiratory motion estimation from the MRIs. In our imaging strategy, a static 3D MRI is acquired before the PET acquisition, and a series of dynamic 2D MRIs are acquired in sagittal and coronal planes by turns during the PET acquisition. The 2D MRIs in orthogonal orientations are then registered with the static 3D MRI to derive a 3D+t deformation field for PET MC. Unlike most previously reported works in the literature, our MC strategy does not rely on respiratory gating, and therefore is able to address irregular and/or varying breathing patterns. We validated our approach using MRI data acquired from 5 volunteers and synthetic simultaneous PET data, demonstrating up to 30.5% improvement in registration accuracy and sharper motion corrected PET images over the reported MC approaches.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130317725","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
OFDM channel shortening in the presence of IQ imbalance 在IQ不平衡的情况下OFDM信道缩短
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889326
Xi Zhang, T. Miyajima
{"title":"OFDM channel shortening in the presence of IQ imbalance","authors":"Xi Zhang, T. Miyajima","doi":"10.1109/ChinaSIP.2014.6889326","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889326","url":null,"abstract":"In orthogonal frequency division multiplexing systems, channel-shortening methods are effective for overcoming inter-block interference (IBI) caused by the delayed waves that exceed cyclic prefix length. In direct-conversion receivers, IQ imbalance in analog circuits causes serious performance degradation. In this paper, we discuss the impact of both frequency-independent and frequency-selective IQ imbalances on the interference suppression capability of a channel shortening method. Both theory and simulations show that the channel shortening method can suppress IBI regardless of the presence of IQ imbalances.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134158704","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: 1
Hyperspectral image classification based on spectra derivative features and locality preserving analysis 基于光谱导数特征和局域保持分析的高光谱图像分类
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889218
Zhen Ye, Mingyi He, J. Fowler, Q. Du
{"title":"Hyperspectral image classification based on spectra derivative features and locality preserving analysis","authors":"Zhen Ye, Mingyi He, J. Fowler, Q. Du","doi":"10.1109/ChinaSIP.2014.6889218","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889218","url":null,"abstract":"High spectral resolution and correlation hinders the application of traditional hyperspectral classification methods in the spectral domain. To address this problem, derivative information is studied in an effort to capture salient features of different land-cover classes. Two locality-preserving dimensionality-reduction methods-specifically, locality-preserving nonnegative matrix factorization and local Fisher discriminant analysis-are incorporated to preserve the local structure of neighboring samples. Since the statistical distribution of classes in hyperspectral imagery is often a complicated multimodal structure, classifiers based on a Gaussian mixture model are employed after feature extraction and dimension reduction. Finally, the classification results in the spectral as well as derivative domains are fused by a logarithmic-opinion-pool rule. Experimental results demonstrate that the proposed algorithms improve classification accuracy even in a small training-sample-size situation.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134637380","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: 10
An improved MDCT domain frequency estimation method 一种改进的MDCT域频率估计方法
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889214
Yujie Dun, Guizhong Liu
{"title":"An improved MDCT domain frequency estimation method","authors":"Yujie Dun, Guizhong Liu","doi":"10.1109/ChinaSIP.2014.6889214","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889214","url":null,"abstract":"In this work, an improved low complexity high precision method for frequency estimation in the Modified Discrete Cosine Transform (MDCT) domain is presented. The method is derived from the analytical expression of the MDCT coefficients of a sinusoid under symmetric windows. With this expression, frequency estimation under the sine and the Kaiser-Bessel Derived (KBD) windows can be made. This paper presents different procedures of the estimation under the sine and KBD windows according to their characteristics. The presented procedures have the ability to avoid estimation mistakes and large estimation errors. The method is tested to show great enhancement of the estimation precision when compared with the traditional methods, and can be used in compressed domain audio processing.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"331 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134365888","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
Two-dimensional signal processing for timing recovery using PLLs for storage channels 二维信号处理的时间恢复使用锁相环存储通道
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889346
B. Reddy, S. G. Srinivasa
{"title":"Two-dimensional signal processing for timing recovery using PLLs for storage channels","authors":"B. Reddy, S. G. Srinivasa","doi":"10.1109/ChinaSIP.2014.6889346","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889346","url":null,"abstract":"We propose two timing recovery methods and architectures for two-dimensional magnetic recording (TDMR) channels. The first architecture is based on a 2D phase-locked loop (PLL) for jointly estimating the position and timing errors in the x and y directions. The second approach is based on two coupled 1D PLLs acting separately in the x and y directions. We analyze the convergence of the timing estimates analytically and evaluate the efficacy of our proposed methods through simulations.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134441798","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: 1
Fast compressive sensing of high-dimensional signals with tree-structure sparsity pattern 基于树结构稀疏模式的高维信号快速压缩感知
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889342
Chun-Shien Lu, Wei-Jie Liang
{"title":"Fast compressive sensing of high-dimensional signals with tree-structure sparsity pattern","authors":"Chun-Shien Lu, Wei-Jie Liang","doi":"10.1109/ChinaSIP.2014.6889342","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889342","url":null,"abstract":"Compressive sensing of multi-dimensional signals (tensors) only receives limited attention. Separable sensing and proper sparsity pattern play two key roles for compressive sensing of tensors to be feasible and efficient. In view of inherent characteristic of 2D images and 3D videos, we propose the use of tree-structure sparsity pattern in tensor compressive sensing and develop a multiway tree-structure sparsity pattern OMP algorithm in this paper. Experimental results demonstrate the effectiveness of our method in terms of recovery quality and speed.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133189709","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: 7
Adaptive road detection towards multiscale-multilevel probabilistic analysis 面向多尺度-多层次概率分析的自适应道路检测
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889334
Zhiyu Jiang, Qi Wang, Yuan Yuan
{"title":"Adaptive road detection towards multiscale-multilevel probabilistic analysis","authors":"Zhiyu Jiang, Qi Wang, Yuan Yuan","doi":"10.1109/ChinaSIP.2014.6889334","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889334","url":null,"abstract":"Vision-based road detection is a challenging problem because of the changeable shape and varying illumination. Though many efforts have been spent on this topic, the achieved performance is far from satisfactory. To this end, this paper formulates a Bayesian method which simultaneously explores the multiscale-multilevel clues that are considered to be complementary. Two contributions are claimed in this proposed method. 1) By computing the prior distribution in super-pixel-level with a novel Laplacian Sparse Subspace Clustering and observation likelihood in pixel-level with statistical color similarity, the posterior probability of road region can be effectively inferred. 2) To ensure the adaptivity of road model in various conditions, a multiscale strategy is presented to fuse the detection results of different scales. Experimental results on several challenging video sequences verify the superiority of the proposed method compared with several popular ones.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124330783","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: 7
Co-channel CCK transmission overlapped with DME in aeronautical communication 航空通信中同信道CCK传输与DME传输重叠
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889273
Yun Bai, Xuejun Zhang, Liang Zhao
{"title":"Co-channel CCK transmission overlapped with DME in aeronautical communication","authors":"Yun Bai, Xuejun Zhang, Liang Zhao","doi":"10.1109/ChinaSIP.2014.6889273","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889273","url":null,"abstract":"Traditional communication system in the L-band (960-1164 MHz) operates in the frequency gaps between the Distance Measuring Equipment (DME) channels. However, this will lead to a waste of the frequency resources. In this paper, a spectrum spread communication system which is overlapped with the DME is considered. Moreover, it utilizes the extended Complementary Code Keying (CCK) sequence to get a higher bandwidth usage efficiency and balance out the interference from the DME. Simulation results show that the extended CCK encoding system and the DME can share the common channel without degradation in the Bit Error Ratio (BER) performance.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133862500","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信