发布求助
文献互助 智能选刊 最新文献

2015 IEEE International Conference on Digital Signal Processing (DSP)最新文献

筛选
英文 中文
A clustering approach for solving the spatial aliasing problem in convolutive blind source separation 一种解决卷积盲源分离中空间混叠问题的聚类方法
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251961
Radoslaw Mazur, Huy Phan, A. Mertins
{"title":"A clustering approach for solving the spatial aliasing problem in convolutive blind source separation","authors":"Radoslaw Mazur, Huy Phan, A. Mertins","doi":"10.1109/ICDSP.2015.7251961","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7251961","url":null,"abstract":"In this paper we propose to extend a recently introduced clustering approach for solving the permutation ambiguity in convolutive blind source separation to a case where spatial aliasing occurs. A well known approach for separation of sources is the transformation to the time-frequency domain, where the task can be reduced to multiple instantaneous problems. While these may be easily solved using independent component analysis, this approach has the drawback of the inherent permutation and scaling ambiguities, which have to be corrected before the transformation to the time domain or otherwise the whole process will fail. Here, we extend an existing clustering approach to cope with the case where spatial aliasing occurs. This is achieved by exploiting the direction information of whole clusters instead of single bins. The performance of the proposed method is evaluated on real-room recordings.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127866097","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
A VAD-based switch fast LMS/Newton algorithm for acoustic echo cancellation 一种基于vad的切换快速LMS/Newton声学回波消除算法
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7252021
W. Yuan, Yi Zhou, Z. Huang, Hongqing Liu
{"title":"A VAD-based switch fast LMS/Newton algorithm for acoustic echo cancellation","authors":"W. Yuan, Yi Zhou, Z. Huang, Hongqing Liu","doi":"10.1109/ICDSP.2015.7252021","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7252021","url":null,"abstract":"This paper studies a new switch fast LMS/Newton algorithm for acoustic echo cancellation. By employing the envelop tracking voice activity detection technique, an efficient switch scheme is developed, which can help the proposed algorithm distinguish the significant and insignificant input speech periods and thus work between the fast LMS/Newton and NLMS modes, respectively. Hence, convergence can be improved when the input excitation is sufficient and the computational complexity can be reduced when the input is relatively weak. Finally, simulations are conducted to prove the efficiency of the proposed algorithm.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127990813","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
A frequency-selecting multichannel equalization method for speech dereverberation 一种用于语音去噪的选频多通道均衡方法
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251850
Wancheng Zhang, Yiming Yan, Tianyi Wang, Zunwen He
{"title":"A frequency-selecting multichannel equalization method for speech dereverberation","authors":"Wancheng Zhang, Yiming Yan, Tianyi Wang, Zunwen He","doi":"10.1109/ICDSP.2015.7251850","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7251850","url":null,"abstract":"A frequency-selecting approach is proposed for robust multichannel dereverberation in the presence of system identification errors (SIEs), based on subband equalization of acoustic channels. Same as the full-band counterpart, performance of the subband multichannel equalizer (SB-MCEQ) degrades in the presence of SIEs. Firstly performance of the SB-MCEQ in different subbands is investigated. Statistical results show that the performance of SB-MCEQ degrades severely only in a few subbands, and they will be called `bad' subbands. Then a frequency-selecting multichannel equalization (FS-MCEQ) algorithm is proposed, which abandons the subband signals of the `bad' subbands or leaves them unprocessed at reconstruction of the full-band signal from the subband signals. Simulation results confirm that the FS-MCEQ algorithm outperforms the SB-MCEQ in the presence of SIEs.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121441133","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
On inferring rumor source for SIS model under multiple observations 多观测条件下SIS模型谣言来源的推断
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251977
Zhaoxu Wang, Wenyi Zhang, C. Tan
{"title":"On inferring rumor source for SIS model under multiple observations","authors":"Zhaoxu Wang, Wenyi Zhang, C. Tan","doi":"10.1109/ICDSP.2015.7251977","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7251977","url":null,"abstract":"This paper studies the problem of a single rumor source detection based on the susceptible-infected-susceptible (SIS) spreading model. Based on the rumor centrality proposed in the Susceptible-Infected (SI) model by Shah and Zaman, we propose a rumor centrality based algorithm, that leverages multiple observations to first construct a diffusion tree graph, and then use the union rumor centrality to find the rumor source. Our simulation results on different network structures shows that our proposed algorithm performs well. For tree networks, increasing the observations can dramatically improve the exact detection probability. This clearly indicates that a richer diversity enhances detect-ability.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129159856","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
Identify myelopathic cervical spinal cord using diffusion tensor image: A data-driven approach 使用弥散张量图像识别脊髓性颈脊髓:一种数据驱动的方法
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251933
Yong Hu, Tin-yan Chan, Xiang Li, K. Mak, K. Luk, Shu-Qiang Wang
{"title":"Identify myelopathic cervical spinal cord using diffusion tensor image: A data-driven approach","authors":"Yong Hu, Tin-yan Chan, Xiang Li, K. Mak, K. Luk, Shu-Qiang Wang","doi":"10.1109/ICDSP.2015.7251933","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7251933","url":null,"abstract":"Diffusion tensor image (DTI) of the cervical spinal cord has been proposed to be used to identify the myelopathic level in the cervical spinal cord. Fractional anisotropy (FA) from DTI is usually used to diagnose the level of cervical spondylotic myelopathy (CSM). However, the solely use of FA value does not consider a full information of 3D multiple indices of diffusion from DTI. This study proposed to use a classification based on machine learning to extract and determine the myelopathic cord in CSM. A classification based on support tensor machine (STM) was applied on eigenvalues extracted from DTI at compressive levels of the cervical spinal cord. This is a validation study to apply STM classification in 30 patients with CSM. The benchmark of classification was the clinical level diagnosis with consensus of senior spine surgeons. The accuracy, sensitivity and specificity of the classification were evaluated in the study. Results showed the use of STM classification provided diagnostic accuracy of 89.2%, sensitivity of 71.8% and specificity of 90.1%. Using the classification based on STM, eigenvalues of DTI can be detected by computational intelligence to provide level diagnosis of CSM, which could help the surgeons to select the most appropriate surgical plan to treat CSM.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129289796","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
Bearing-only acoustic tracking of moving speakers for robot audition 机器人试镜中移动扬声器的纯方位声学跟踪
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7252071
C. Evers, Alastair H. Moore, P. Naylor, J. Sheaffer, B. Rafaely
{"title":"Bearing-only acoustic tracking of moving speakers for robot audition","authors":"C. Evers, Alastair H. Moore, P. Naylor, J. Sheaffer, B. Rafaely","doi":"10.1109/ICDSP.2015.7252071","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7252071","url":null,"abstract":"This paper focuses on speaker tracking in robot audition for human-robot interaction. Using only acoustic signals, speaker tracking in enclosed spaces is subject to missing detections and spurious clutter measurements due to speech inactivity, reverberation and interference. Furthermore, many acoustic localization approaches estimate speaker direction, hence providing bearing-only measurements without range information. This paper presents a probability hypothesis density (PHD) tracker that augments the bearing-only speaker directions of arrival with a cloud of range hypotheses at speaker initiation and propagates the random variates through time. Furthermore, due to their formulation PHD filters explicitly model, and hence provide robustness against, clutter and missing detections. The approach is verified using experimental results.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128781150","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: 29
Show-through cancellation using Kalman filter with colored driving source in duplex scanning 双工扫描中彩色驱动源卡尔曼滤波器的透显消除
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251969
Ryu Nagayasu, N. Tanabe, T. Furukawa
{"title":"Show-through cancellation using Kalman filter with colored driving source in duplex scanning","authors":"Ryu Nagayasu, N. Tanabe, T. Furukawa","doi":"10.1109/ICDSP.2015.7251969","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7251969","url":null,"abstract":"We present a show-through cancellation method using the Kalman filter with colored driving source in duplex scanning. The remarkable feature of the proposed method is reduced show-through effect without sacrificing quality of the original image using the canonical state space model with (i) a state equation composed of the front-side original image, and (ii) an observation equation composed of the front and back side original images, transmittance of paper, and show-through point spread function. Simulation result shows that this proposed method can remove show-through effectively.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114673836","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
Image tampering detection using noise histogram features 基于噪声直方图特征的图像篡改检测
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7252037
Jiayuan Fan, Tao Chen, Jiuwen Cao
{"title":"Image tampering detection using noise histogram features","authors":"Jiayuan Fan, Tao Chen, Jiuwen Cao","doi":"10.1109/ICDSP.2015.7252037","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7252037","url":null,"abstract":"With the rapid development of digital image editing tools, the authenticity of digital images becomes questionable in recent years. Image tampering detection is a technology that detects tampered images by using intrinsic image regularities. However, existing intrinsic image regularities are designed for one specific type of tampering operations. When multiple types of tampering operations are used to process a digital image, image tampering detection accuracy is seriously degraded. This paper exploits the re-normalized histogram of noise and noise difference as a new type of intrinsic image regularities, which is computed as the ratio of the histogram to the peak-value. When the image is operated by image tampering, the re-normalized histogram would increase as the peak value of this histogram would decrease. By applying the re-normalized histogram as features, the experimental results show that the proposed method has the ability to detect a wide range of tamper operations, including single type and multiple types of tampering operations without the prior knowledge of tampering operation order, type and parameter.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125422386","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: 6
Radio ground-to-air interference signals recognition based on support vector machine 基于支持向量机的无线电地空干扰信号识别
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7252025
Mingming Kong, J. Liu, Zihao Zhang, Ying Qiao
{"title":"Radio ground-to-air interference signals recognition based on support vector machine","authors":"Mingming Kong, J. Liu, Zihao Zhang, Ying Qiao","doi":"10.1109/ICDSP.2015.7252025","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7252025","url":null,"abstract":"In this paper, we use support vector machine (SVM) to recognize the acoustic frequency of radio signals, in which, the SVM with the polynomial kernel function is optimized by gravitational search algorithm and selected as a classifier to recognize the acoustic frequency of radio signals, radio signals are the civil aviation radio ground-to-air interference signals, its the acoustic frequency are recognized by the optimized SVM classifier. Experiments show that our method is more accuracy and robustness than genetic algorithm to recognize radio ground-to-air interference signals.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125428560","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
An adaptive kernel width update method of correntropy for channel estimation 一种用于信道估计的自适应熵核宽度更新方法
2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7252010
Weihua Wang, Ji-hong Zhao, Hua Qu, Badong Chen, J. Príncipe
{"title":"An adaptive kernel width update method of correntropy for channel estimation","authors":"Weihua Wang, Ji-hong Zhao, Hua Qu, Badong Chen, J. Príncipe","doi":"10.1109/ICDSP.2015.7252010","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7252010","url":null,"abstract":"The maximum correntropy criterion (MCC) is a robust adaptation criterion, which has been successfully applied in various signal processing applications. The kernel width plays an important role in MCC adaptive filtering and has significant influence on convergence rate and steady-state performance. In this paper, we develop an adaptive kernel width update method for correntropy. The proposed algorithm may achieve faster convergence speed and lower steady-state excess mean square error (EMSE) than the original MCC algorithm. More importantly, the new method involves no extra free parameters and is computationally very simple.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126632236","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: 38
首页 上一页
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
小红书