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2007 IEEE 15th Signal Processing and Communications Applications最新文献

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Real-Time Ischemic Beat Classification Using Backpropagation Neural Network 基于反向传播神经网络的实时缺血性心跳分类
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298792
M. Mohebbi, H. Moghadam
{"title":"Real-Time Ischemic Beat Classification Using Backpropagation Neural Network","authors":"M. Mohebbi, H. Moghadam","doi":"10.1109/SIU.2007.4298792","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298792","url":null,"abstract":"This paper explains an adaptive backpropagation neural network (NN) for the detection of ischemic beats in electrocardiogram (ECG) recordings. The proposed method consists of a preprocessing stage for QRS detection, baseline wandering removal, and noise suppression. In this stage ST segments are extracted. In the next stage, the pattern length is reduced and subtracted from the normal template. In the third stage the extracted patterns are used for training a neural network and ischemic beats are detected. The algorithm used to train the NN is an adaptive backpropagation algorithm. An adaptive algorithm attempts to keep the learning step size as large as possible while keeping learning stable and then reduces the learning time. To evaluate the methodology, a cardiac beat dataset is constructed using several recordings of the European Society of Cardiology ST-T database. Our results were high both in sensitivity and positive predictivity. Specially, the obtained sensitivity and positive predictivity were 97.22% and 97.44%, respectively. These results are better than other any previously reported ones.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"255 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133392488","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: 3
Downsampling Based Multiple Description Coding with Optimal Reconstruction Filters 基于下采样的最优重构滤波器多重描述编码
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298731
Y. Yapici, B. Demir, S.E. ve Oguzhan Urhan
{"title":"Downsampling Based Multiple Description Coding with Optimal Reconstruction Filters","authors":"Y. Yapici, B. Demir, S.E. ve Oguzhan Urhan","doi":"10.1109/SIU.2007.4298731","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298731","url":null,"abstract":"In this paper, a multiple description image coding scheme is proposed to facilitate the transmission of images over media with possible packet loss. The proposed method is based on finding the optimal reconstruction filter coefficients that will be used to combine the multiple descriptions, based on least squares minimization. Firstly, the original image is down sampled and each sub-image is coded using standard JPEG. These decoded images are then mapped to the original image size using the optimal filters. Multiple descriptions consist of coded down sampled images and the corresponding optimal reconstruction filter coefficients. It is shown that the proposed method gives superior results compared with standard interpolation filters (i.e .bicubic and bilinear).","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134057745","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
Elevated Plus Maze on Based Computer Vision 基于计算机视觉的高架+迷宫
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298634
M. Sahin, M. Ekinci, E. Gedi̇kli̇, S. Baytan
{"title":"Elevated Plus Maze on Based Computer Vision","authors":"M. Sahin, M. Ekinci, E. Gedi̇kli̇, S. Baytan","doi":"10.1109/SIU.2007.4298634","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298634","url":null,"abstract":"This paper presents a novel method for rat detection and tracking in a platform known as elevated-plus maze and for recording the rat movements as a time elapsed in specific regions in real time surveillance systems. First, the location of plus maze platform is automatically determined by using hough transform. Rats in the platform are detected by applying otsu based automatic thresholding. Otsu-based automatic thresholding is applied to discriminate the pixels as foreground and bacground pixels. The foreground pixels are then grouped by using a bounded box. From now on, for every new frame , active subject has been followed in platform that is seperated regions and elapsed times in regions are recorded. Plus maze system we take 25 frames per second is present more right results than other available systems. We applied this approach on video records that are taken from KTU-Physiology Lab.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132368151","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 Simplified Parallel Distributed Detection Method for Wireless Sensor Networks under Fading Channels 衰落信道下无线传感器网络的简化并行分布式检测方法
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298611
Kayhan Eritmen, E. Masazade, M. Keskinoz
{"title":"A Simplified Parallel Distributed Detection Method for Wireless Sensor Networks under Fading Channels","authors":"Kayhan Eritmen, E. Masazade, M. Keskinoz","doi":"10.1109/SIU.2007.4298611","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298611","url":null,"abstract":"In this paper, we investigated the distributed detection problem in wireless sensor networks with parallel configuration. A decentralized binary hypothesis testing problem is considered that local sensors made their own decision and transmit it to the fusion center. Using the Central Limit Theorem, we determined the optimum threshold for fusion center when local detection and false alarm rates are present. Numerical examples shows that the proposed method is valid for fading channels and gives the accurate threshold value as a simplifier way than exhaustive search when channel state information is known .","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132362461","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
Performance of Direct Sequence Ultra Wide Band Signals over Log-normal Fading Channels 直接序列超宽带信号在对数正态衰落信道上的性能
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298612
E. Ozturk, Ergin Yılmaz
{"title":"Performance of Direct Sequence Ultra Wide Band Signals over Log-normal Fading Channels","authors":"E. Ozturk, Ergin Yılmaz","doi":"10.1109/SIU.2007.4298612","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298612","url":null,"abstract":"In this paper, the probabilities of error performances of bipolar Direct Sequence Ultra Wide Band (DS-UWB) signals are investigated over a log-normal fading channel. Since the bandwidth of UWB signals is in the level of giga Hertz, the number of the resolvable paths in the channel is large. Consequently, in the receiver, a Rake receiver in conjunction with a maximum ratio combiner is used. By using the derived probability of error expression, the numerical values of the performances are calculated for the first derivative of Gaussian, the second derivative of Gaussian, Rayleigh and Daubechies-5 (db-5) pulse signals. Results show that the db-5 pulse based UWB system gives the best performance.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"1142 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133321813","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
System Optimization for Serial Concatenated OFDM with Extended Constellation STBC 扩展星座STBC串行连接OFDM系统优化
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298817
K. Aksoy, U. Aygolu
{"title":"System Optimization for Serial Concatenated OFDM with Extended Constellation STBC","authors":"K. Aksoy, U. Aygolu","doi":"10.1109/SIU.2007.4298817","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298817","url":null,"abstract":"We propose a serial concatenated convolutional and extended constellation space-time block coded (SC-EC-STBC) OFDM scheme that achieves high diversity gain through frequency-selective multipath fading channels. The new scheme combines an inner accumulated linear constellation coded space-time block code (LCC-STBC) with an outer convolutional code (CC) that provides additional coding and diversity gain. The iterative decoder performance of proposed system is optimized via extrinsic information transfer (EXIT) diagrams, and the bit error rate (BER) performance improvement provided by the proposed system with iterative decoding is confirmed by computer simulations.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132608357","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
Visual Detection and Tracking of Moving Objects 运动物体的视觉检测与跟踪
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298624
Hamza Ergezer, K. Leblebicioğlu
{"title":"Visual Detection and Tracking of Moving Objects","authors":"Hamza Ergezer, K. Leblebicioğlu","doi":"10.1109/SIU.2007.4298624","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298624","url":null,"abstract":"In this paper, primary steps of a visual surveillance system are presented: moving object detection and tracking of these moving objects. Running average method has been used to detect the moving objects in the video, which is taken from a static camera. Tracking of foreground objects has been realized by using a Kalman filter. After background subtraction, morphological operators are used to remove noises detected as foreground. Active contour models (snakes) are the segmentation tools for the extracted foregrounds. Snakes have been also used as an extra tool for object tracking.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122317711","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: 3
A Local Binary Patterns and Shape Priors Based Texture Segmentation Method 基于局部二值模式和形状先验的纹理分割方法
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298755
Erkin Tekeli, M. Çetin, A. Erçil
{"title":"A Local Binary Patterns and Shape Priors Based Texture Segmentation Method","authors":"Erkin Tekeli, M. Çetin, A. Erçil","doi":"10.1109/SIU.2007.4298755","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298755","url":null,"abstract":"We propose a shape and data driven texture segmentation method using local binary patterns (LBP) and active contours. In particular, we pass textured images through a new LBP-based filter, which produces non-textured images. In this \"filtered\" domain each textured region of the original image exhibits a characteristic intensity distribution. In this domain we pose the segmentation problem as an optimization problem in a Bayesian framework. The cost functional contains a data-driven term, as well as a term that brings in information about the shapes of the objects to be segmented. We solve the optimization problem using level set-based active contours. Our experimental results on synthetic and real textures demonstrate the effectiveness of our approach in segmenting challenging textures as well as its robustness to missing data and occlusions.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"28 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114033410","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
Noise Reduction in Chaotic Signals by Using Wiener and Kalman Filtering Methods 基于维纳滤波和卡尔曼滤波的混沌信号降噪研究
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298691
E. Qek, O. Oral, O. Akay
{"title":"Noise Reduction in Chaotic Signals by Using Wiener and Kalman Filtering Methods","authors":"E. Qek, O. Oral, O. Akay","doi":"10.1109/SIU.2007.4298691","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298691","url":null,"abstract":"In this paper, the additive white noise was filtered from chaotic signals obtained by logistic map by using Wiener, extended and unscented Kalman filters, respectively. Performances of each method were compared by finding mean square error versus signal to noise ratio (SNR) and correlation dimension which is one of the invariants of the chaotic dynamical systems. It was observed that, each method exhibits different MSE performances depending on the particular signal to noise ratio.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116513518","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
Iterative Super Resolution Reconstruction from Multiple Images Using Cluster Computers 基于集群计算机的多幅图像迭代超分辨率重建
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298775
N. Adar, E. Seke, C. Kandemir, K. Ozkan
{"title":"Iterative Super Resolution Reconstruction from Multiple Images Using Cluster Computers","authors":"N. Adar, E. Seke, C. Kandemir, K. Ozkan","doi":"10.1109/SIU.2007.4298775","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298775","url":null,"abstract":"Image processing applications, although not very obvious to be easily noticed, find their way into our daily life in almost every field. Many military, medical and commercial applications aim for high resolution images, however the resolution of the image sensors continue to be main limiting obstacle in front. The solution is to develop techniques for creation of a singe high resolution and high quality picture using multiple low resolution images. In order to achieve high performance, the proposed technique that outputs a high resolution images using predetermined number of low resolution images is implemented on cluster computers. It is shown that proposed parallel algorithm is reduced the overall serial execution time by the number of processor.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114747226","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
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