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2010 IEEE 18th Signal Processing and Communications Applications Conference最新文献

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Hilbert transform based hologram filtering 基于希尔伯特变换的全息滤波
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5652802
M. Bayraktar, M. Ozcan
{"title":"Hilbert transform based hologram filtering","authors":"M. Bayraktar, M. Ozcan","doi":"10.1109/SIU.2010.5652802","DOIUrl":"https://doi.org/10.1109/SIU.2010.5652802","url":null,"abstract":"Holography enables true three dimensional imaging, however zero-order image and conjugate image that are inherent in the hologram recording and reconstruction process degrades the quality of the object image. This paper starts with brief description of the hologram recording and reconstruction process. After explanation of the filtering concept in holography various filtering techniques that are present in the literature are summarized and supported with simulation results. Then a Hilbert transform based filtering technique is proposed. Performance of the proposed method is evaluated using Mean Squared Error (MSE) analysis and a notable improvement in the signal to noise ratio is observed.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115011194","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
Rotational invariant image matching based on phase only correlation 基于相位相关的旋转不变图像匹配
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5653488
A. Şengur, M. Karabatak
{"title":"Rotational invariant image matching based on phase only correlation","authors":"A. Şengur, M. Karabatak","doi":"10.1109/SIU.2010.5653488","DOIUrl":"https://doi.org/10.1109/SIU.2010.5653488","url":null,"abstract":"In this work, a rotational invariant image template matching method based on log-polar transform and phase only correlation is presented. The method is composed of two stages. While applying the 2nd Hanning window is formed the first stage, several steps, for phase-based rotational image template matching constitutes the second stage. MATLAB is used for computer simulations. We cropped various image templates for matching purposes. We then rotated that template images with 15, 30 45, 60 and 75 degrees respectively and we saved them. Thus, we obtained totally 60 images for 10 different template images. We finally obtained 93.33% matching accuracy.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115114486","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
CFAR detection based on decision fusion of order statistic CFAR and order statistic clutter map CFAR processors 基于序统计型CFAR和序统计型杂波映射CFAR处理器决策融合的CFAR检测
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5652227
M. Can, M. Uner
{"title":"CFAR detection based on decision fusion of order statistic CFAR and order statistic clutter map CFAR processors","authors":"M. Can, M. Uner","doi":"10.1109/SIU.2010.5652227","DOIUrl":"https://doi.org/10.1109/SIU.2010.5652227","url":null,"abstract":"In automatic target detection radars, adaptive constant false alarm rate (CFAR) processors, which determine the threshold, are examined. Two techniques are used for achieving the required CFAR. The first technique determines the adaptive threshold using range neighbouring cells which are located in sliding window. The second one is based on clutter map. In this technique, adaptive threshold is determined using the samples of test cell from previous scans which are assumed to contain no target. In this study, new techniques based on combining the two techniques in the data fusion system (DFS), are proposed. Analytical equations for homogeneous and nonhomogeneous environment are derived and performance analysis are carried out.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115275441","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
Kalman filtering based approach for spectral analysis of power signals 基于卡尔曼滤波的电力信号频谱分析方法
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5650354
N. Kose, O. Salor, K. Leblebicioğlu
{"title":"Kalman filtering based approach for spectral analysis of power signals","authors":"N. Kose, O. Salor, K. Leblebicioğlu","doi":"10.1109/SIU.2010.5650354","DOIUrl":"https://doi.org/10.1109/SIU.2010.5650354","url":null,"abstract":"In this paper, a spectral decomposition based method for interharmonics analysis is proposed for power systems where the fundamental frequency deviates significantly. In the proposed method, the spectral components of the voltage waveform are obtained by Kalman filtering. The method provides the fundamental frequency and the correct spectrum of the voltage waveform, and hence the exact interharmonics are obtained. The proposed method is tested with both simulated and field data obtained from a power system, where the fundamental frequency deviation is significant. The most important advantage of the proposed method is that since the interharmonic frequencies are obtained by Kalman filtering, no leakage effect of the DFT based approaches is observed in the proposed method.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125771356","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 robust multimodal fall detection method for ambient assisted living applications 一种用于环境辅助生活应用的鲁棒多模态跌倒检测方法
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5652742
H. Alemdar, Yunus Emre Kara, Mustafa Ozan Ozen, G. Yavuz, O. D. Incel, L. Akarun, Cem Ersoy
{"title":"A robust multimodal fall detection method for ambient assisted living applications","authors":"H. Alemdar, Yunus Emre Kara, Mustafa Ozan Ozen, G. Yavuz, O. D. Incel, L. Akarun, Cem Ersoy","doi":"10.1109/SIU.2010.5652742","DOIUrl":"https://doi.org/10.1109/SIU.2010.5652742","url":null,"abstract":"Accidental falls threaten the lives of people over 65 years of age and can be overcome with quick action for saving lives. Old people who live alone and those who have chronic diseases constitute the main risk groups. Fast and effective detection of falls will increase the quality of life of these people. In this study, using accelerometers together with a video sensor, a multi-modal fall detection mechanism is proposed and its performance has been evaluated. The results indicate that an accelerometer triggered video processing method will minimize the processing costs together with privacy related issues.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129990201","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
A systematıc approach to power systems 电力系统的systematıc方法
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5651135
Serdar Guneli, A. Demirkol
{"title":"A systematıc approach to power systems","authors":"Serdar Guneli, A. Demirkol","doi":"10.1109/SIU.2010.5651135","DOIUrl":"https://doi.org/10.1109/SIU.2010.5651135","url":null,"abstract":"In this study, a general approach for modeling power systems is discussed. The power system model, handled in this paper, is based on observation with sensors distributed in space. To estimate the dinamic parameters of power systems in the coverage of each sensors, makes control and keep track of system possible. For this purpose, the sensors and power systems which are organized by a distributed network structure, predisposed to a stochastic model called decentralized Kalman filter. Thus, the accurate estimation and measure of system outputs are aimed. Accordingly, a theoretic model has been proposed that provides a general impression and formulation of power systems.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130115932","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
Processing the manuscripts of Atatürk 处理atatat<s:1> rk的手稿
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5652708
Talha Soysal, Hande Adiguzel, A. Oktem, Alican Haman, E. Can, Pinar Duygulu, M. Kalpakli
{"title":"Processing the manuscripts of Atatürk","authors":"Talha Soysal, Hande Adiguzel, A. Oktem, Alican Haman, E. Can, Pinar Duygulu, M. Kalpakli","doi":"10.1109/SIU.2010.5652708","DOIUrl":"https://doi.org/10.1109/SIU.2010.5652708","url":null,"abstract":"In this paper, as a first step to an easy and convenient way to access the manuscripts of Atatürk with a word based search engine, the preprocessing of digitalized documents and their line and word segmentation is studied. The techniques that are applied on printed documents may not yield satisfactory results. Due to this fact, more developed techniques are decided to be applied consisting of a technique based on Hough transform [1] for line segmentation and a technique that is based on dealing with skewness of lines for word segmentation. The results, which are acquired through studies that are conducted on the documents provided by Afet Đnan and consisting of 30 pages [2], prove to be highly accurate and promising for future researches.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129317770","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
The detection performance of Neyman-Pearson detector for MIMO radar in K-distributed sea clutter MIMO雷达内曼-皮尔逊探测器在k分布海杂波中的探测性能
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5649973
Ayhan Yazici, Aysin Cetin Hamurcu, B. Baykal
{"title":"The detection performance of Neyman-Pearson detector for MIMO radar in K-distributed sea clutter","authors":"Ayhan Yazici, Aysin Cetin Hamurcu, B. Baykal","doi":"10.1109/SIU.2010.5649973","DOIUrl":"https://doi.org/10.1109/SIU.2010.5649973","url":null,"abstract":"Use of multiple transmit and receive antennas have become a popular research area in radar community after the success of the same concept in communication. It is shown by Fishler et al. in [1] that multi-input multi-output (MIMO) radar has considerable advantages compared to traditional radar and phased array radar systems. In this paper, detection performance of MIMO radar using Neyman-Pearson detector is investigated in K-distributed sea clutter for a practical scenario. Also, spiki-ness of K-distributed MIMO radar clutter is discussed with respect to the number of nodes.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129393675","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 novel method for signal component incision in the time-frequency plane 一种在时频平面上切割信号分量的新方法
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5651527
Y. K. Alp, O. Arikan, U. Ozertem
{"title":"A novel method for signal component incision in the time-frequency plane","authors":"Y. K. Alp, O. Arikan, U. Ozertem","doi":"10.1109/SIU.2010.5651527","DOIUrl":"https://doi.org/10.1109/SIU.2010.5651527","url":null,"abstract":"A time-frequency signal analysis technique for detection and extraction of signal components is developed. The proposed technique is observed to be successful even under high noise levels, for signals whose components have compact support in the time-frequency plane. It is an iterative algorithm which detects and extracts one component at a time. The robust estimates of instantaneous frequency which are attained by principle curve projections, have increased the performance. The performance of the algorithm is analyzed under different noise levels using synthetic signals.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129508516","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
Feature construction, selection and revealing patterns of power quality event data 电能质量事件数据的特征构建、选择与揭示模式
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5650392
M. Guder, O. Salor, N. Cicekli, I. Çadırcı
{"title":"Feature construction, selection and revealing patterns of power quality event data","authors":"M. Guder, O. Salor, N. Cicekli, I. Çadırcı","doi":"10.1109/SIU.2010.5650392","DOIUrl":"https://doi.org/10.1109/SIU.2010.5650392","url":null,"abstract":"In this paper, a method for revealing the patterns in power quality event data based on the constructed, selected and eliminated features is described. The data are collected by the power quality (PQ) monitors, which are developed through the National PQ Project and installed on the electricity network. The PQ monitors detect the PQ events defined as voltage sags, swells, and interruptions by the IEC Standard 61000–4–30, and collect the raw data of the event. The proposed method aims to cope with the huge event data size and cluster the event types by examining the distribution and variation of the selected features so that PQ events are ultimately classified. The method helps to manage the event data to come up with PQ assessments for the specific measurement points and to make comparisons of various measurement points in terms of PQ of the electricity network.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130535396","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
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