发布求助
文献互助 智能选刊 最新文献

2014 22nd Signal Processing and Communications Applications Conference (SIU)最新文献

筛选
英文 中文
3D face recognition in presence of expressions by fusion regions of interest 基于感兴趣区域融合的三维人脸识别
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830718
M. Belahcene, A. Chouchane, H. Ouamane
{"title":"3D face recognition in presence of expressions by fusion regions of interest","authors":"M. Belahcene, A. Chouchane, H. Ouamane","doi":"10.1109/SIU.2014.6830718","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830718","url":null,"abstract":"We propose a face recognition system insensitive to expressions. This system uses the fusion by concatenating the entire face with the regions of interest (nose, mouth, right eye and left eye). To enhance the discriminant information phases of Gabor filter are used. The Principal Component Analysis (PCA) + Enhanced Fisher linear discriminant Model (EFM) are applied to the data to find a reduced basis projection and discriminant. The classification is usually performed using a single distance measure in the final multidimensional space. In this work we use a support vector machine (SVM) architecture with one against all. The model is studied and applied to the CASIA color database and gives a recognition rate of overall evaluation RReval = 94.30% and the test set RRtest = 81.30%.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116020928","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
Pattern recognition based analysis of arm EMG signals and classification with artificial neural networks 基于模式识别的手臂肌电信号分析及人工神经网络分类
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830703
Seyit Ahmet Guvenc, M. Ulutaş, Mengu Demir
{"title":"Pattern recognition based analysis of arm EMG signals and classification with artificial neural networks","authors":"Seyit Ahmet Guvenc, M. Ulutaş, Mengu Demir","doi":"10.1109/SIU.2014.6830703","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830703","url":null,"abstract":"Thanks to improving technology human life is consistently becoming easier. In points which exceeds human abilities machines come into play and they overcomes they remedy the deficiencies of human. One of the disciplines which must be evaluated in this coverage is manufacturing artificial hand for defective human which can manage with EMG signals. In this paper we tried to classify EMG signals which is belong to hands and arms who are limbs that human frequently use in daily life. It is demanded from 8 different able-bodied subjects to execute 7 different hand movements and it is inferred that obtained EMG signals are which class via artificial neural networks. In classification operations significant result is obtained.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121982170","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
Feature encoding models for geographic image retrieval and categorization 地理图像检索与分类的特征编码模型
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830171
Savas Özkan, Tayfun Ates, Engin Tola, M. Soysal, E. Esen
{"title":"Feature encoding models for geographic image retrieval and categorization","authors":"Savas Özkan, Tayfun Ates, Engin Tola, M. Soysal, E. Esen","doi":"10.1109/SIU.2014.6830171","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830171","url":null,"abstract":"In this work, we survey the performance of various feature encoding models for geographic image retrieval task. Recently introduced Vector-of-Locally-Aggregated Descriptors (VLAD) and its Product Quantization encoded binary version VLAD-PQ are compared with the widely used Bag-of-Word (BoW) model. Evaluation results are shown on a publicly available 21-class LULC dataset. With experiments, it is shown that VLAD outperforms classical BoW representation albeit with some increases in the computation time. Additionally, VLAD-PQ results in similar retrieval performance with VLAD but requiring no more computational or memory resources are observed.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116586274","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
Diversity analysis of hierarchical modulation in cooperative communication 协同通信中层次调制的多样性分析
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830484
Ahmet Zahid Yalçin, M. Yuksel
{"title":"Diversity analysis of hierarchical modulation in cooperative communication","authors":"Ahmet Zahid Yalçin, M. Yuksel","doi":"10.1109/SIU.2014.6830484","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830484","url":null,"abstract":"In cooperative communication systems, hierarchical modulation is used to increase systems robustness and to send different information flows simultaneously. In cooperative communication systems which use hierarchical modulation, error propagation is the most important problem that prevents achieving full diversity gain. Thresholds that depend on the signal to noise ratio (SNR) value between the source and the relay can be used to mitigate error propagation. If the instantaneous SNR between the source and the relay is lower than the first threshold, the relay does not transmit. If the SNR is between the first and the second thresholds, the relay demodulates and forwards only the primary bits. If the SNR is higher than the second threshold, the relay demodulates and forwards both the primary and the secondary bits. Mitigating error propagation and achieving full diversity for both primary (high priority) and secondary (low priority) bits depend on setting the thresholds at the relay properly. In this work, the first and the second threshold values are determined so that full diversity gains are attained for both primary and secondary bits. Analytical and simulation results are provided to verify the analysis.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117005525","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
Two dimensional DOA estimation using uniform rectangular array with mutual coupling 基于相互耦合的均匀矩形阵的二维方位估计
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830266
Mustafa Çalişkan, T. E. Tuncer
{"title":"Two dimensional DOA estimation using uniform rectangular array with mutual coupling","authors":"Mustafa Çalişkan, T. E. Tuncer","doi":"10.1109/SIU.2014.6830266","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830266","url":null,"abstract":"In this study, joint estimation of azimuth and elevation angles with uniform rectangular array(URA) in the presence of mutual coupling is discussed. Mutual coupling coefficients are also estimated with the estimated arrival angles. By using these coupling coefficient estimates, two dimensional refined search of direction of arrival angles(DOA) is done. Several Monte Carlo experiments are performed and it is observed that the refined angle estimates are more accurate compared to the initial estimates which do not use the coupling coefficient numerical values. By applying the algorithm proposed in [1], the computational load of two dimensional spectrum search is reduced and the negative effect of mutual coupling between the sensors is eliminated.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129510872","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
EOG denoising using Empirical Mode Decomposition and Detrended Fluctuation Analysis 利用经验模态分解和去趋势波动分析进行EOG去噪
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830286
A. Mert, N. Akkurt, A. Akan
{"title":"EOG denoising using Empirical Mode Decomposition and Detrended Fluctuation Analysis","authors":"A. Mert, N. Akkurt, A. Akan","doi":"10.1109/SIU.2014.6830286","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830286","url":null,"abstract":"In this study, a method is presented for the removal of electrooculogram (EOG) noise from electroencephalography (EEG) recordings by using recently proposed data driven approach called Empirical Mode Decomposition (EMD). The EMD represents the signal as a combination of Intrinsic Mode Functions (IMFs). It is an important problem to determine which IMFs belong to signal and noise in multi-component or noisy signals. Detrended Fluctuation Analysis (DFA) is a successful method to characterize non-stationary signals. In our approach, a threshold is determined from the DFA, and used to select the noise IMFs. Performance of the proposed method is demonstrated by means of computer simulations using noisy EEG signals.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129614803","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
Performance evaluation of self organizing neural networks for clustering in ESM systems ESM系统中自组织神经网络聚类性能评价
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830709
Kenan Gençol, H. Tora
{"title":"Performance evaluation of self organizing neural networks for clustering in ESM systems","authors":"Kenan Gençol, H. Tora","doi":"10.1109/SIU.2014.6830709","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830709","url":null,"abstract":"Electronic Support Measures (ESM) system is an important function of electronic warfare which provides the real time projection of radar activities. Such systems may encounter with very high density pulse sequences and it is the main task of an ESM system to deinterleave these mixed pulse trains with high accuracy and minimum computation time. These systems heavily depend on time of arrival analysis and need efficient clustering algorithms to assist deinterleaving process in modern evolving environments. On the other hand, self organizing neural networks stand very promising for this type of radar pulse clustering. In this study, performances of self organizing neural networks that meet such clustering criteria are evaluated in detail and the results are presented.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129617441","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
Underwater target bearing detection by time and frequency domain beamforming 时域和频域波束形成水下目标方位检测
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830438
Yilmaz Karakaya, T. Gucluoglu
{"title":"Underwater target bearing detection by time and frequency domain beamforming","authors":"Yilmaz Karakaya, T. Gucluoglu","doi":"10.1109/SIU.2014.6830438","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830438","url":null,"abstract":"In this paper, underwater target bearing detection performance is investigated with time and frequency domain beamforming. Since dynamic underwater environment is challenging for signal transmission, increasing processing gain and directivity detection success with the use of planar transducer arrays can be helpful especially at low signal powers. In order to understand the effects of use in practical sonar systems better, directivity function of planar array beamforming and performance of with time and frequency domain processing are presented via computer simulations.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129706371","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 recursive approach to reconstruction of sparse signals 稀疏信号重构的递归方法
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830436
Oguzhan Teke, O. Arikan, A. Gürbüz
{"title":"A recursive approach to reconstruction of sparse signals","authors":"Oguzhan Teke, O. Arikan, A. Gürbüz","doi":"10.1109/SIU.2014.6830436","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830436","url":null,"abstract":"Compressive Sensing (CS) theory details how a sparsely represented signal in a known basis can be reconstructed using less number of measurements. In many practical systems, the observation signal has a sparse representation in a continuous parameter space. This situation rises the possibility of use of the CS reconstruction techniques in the practical problems. In order to utilize CS techniques, the continuous parameter space have to be discretized. This discritization brings the well-known off-grid problem. To prevent the off-grid problem, this study offers a recursive approach which discritizes the parameter space in an adaptive manner. The simulations show that the proposed approach can estimate the parameters with a high accuracy even if targets are closely spaced.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128225262","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
Development of real-time wireless monitoring system for greenhouses: Industrial Bluetooth application 温室实时无线监控系统的开发:工业蓝牙应用
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830287
M. Dayioglu
{"title":"Development of real-time wireless monitoring system for greenhouses: Industrial Bluetooth application","authors":"M. Dayioglu","doi":"10.1109/SIU.2014.6830287","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830287","url":null,"abstract":"In this study, a demonstration of a wireless system based on Bluetooth developed for real-time monitoring of greenhouse environment was presented. System was consisted of a host computer, a serial port adapter and five wireless units. In each wireless unit, a PIC16F876 microcontroller as main processor and a CB-SPA331 Bluetooth module for wireless communication were used. The wireless unit was designed in the way to be connected to SHT11 and DS18B20 and four analog sensors. Both host computer side and microcontroller side were programmed for real-time monitoring of greenhouse environment. The prototype of system was tested in tomato greenhouse. Air temperature, relative humidity and soil temperature data were measured via wireless units which were distributed in the greenhouse. All data were transferred to the host computer; and recorded as real-time.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128234825","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
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：481959085
Book学术官方微信