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

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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
Speech Recognition for Turkish Broadcast News 土耳其广播新闻语音识别
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298741
E. Arisoy, M. Saraçlar
{"title":"Speech Recognition for Turkish Broadcast News","authors":"E. Arisoy, M. Saraçlar","doi":"10.1109/SIU.2007.4298741","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298741","url":null,"abstract":"The aim of this study is to develop a speech recognition system for Turkish broadcast news. The state-of-the-art speech recognition systems utilize statistical models. A large amount of data is required to reliably estimate these models. For this study, a large Turkish Broadcast News database, consisting of the speech signal and corresponding transcriptions, is being collected. In this paper, information about this database and experiments performed using the system developed on the collected data are presented. In addition to the baseline system, various adaptation schemes and subword language models were tried. Currently, our best systems has lower than 20% error on clean speech.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"33 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":"130471077","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 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
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
Unequal Error Protection for Stereoscopic Video Streaming 立体视频流的不等错误保护
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298702
A. Tan, A. Aksay, Ç. Bilen, G. Akar, E. Arıkan
{"title":"Unequal Error Protection for Stereoscopic Video Streaming","authors":"A. Tan, A. Aksay, Ç. Bilen, G. Akar, E. Arıkan","doi":"10.1109/SIU.2007.4298702","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298702","url":null,"abstract":"The utilization of forward error correction (FEC) schemes for stereo video streaming is investigated. Stereo video is categorized in 3 layers and each layer is protected with different protection ratios for efficient streaming. Systematic Reed-Solomon (RS) and Luby Transform (LT) codes are utilized as the error protection schemes. Detailed simulations are performed in order to observe the optimum unequal error protection (UEP) strategies for the defined video layers. Moreover, as a result of these simulations the performance comparison of RS and LT codes for video streaming is provided.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"19 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":"128108049","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
Underwater Ambient Noise Measurement and Recording System 水下环境噪声测量与记录系统
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298705
S. Baykut, S. Direk, C. Gezer, Ufuk Ulug, T. Akgul
{"title":"Underwater Ambient Noise Measurement and Recording System","authors":"S. Baykut, S. Direk, C. Gezer, Ufuk Ulug, T. Akgul","doi":"10.1109/SIU.2007.4298705","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298705","url":null,"abstract":"In this study, a shallow water broadband acoustic receiver system is designed for collecting underwater acoustic data. The system is designed as a linear sensor array including 8 omni directional hydrophones. In order to collect the test data and conduct experiments a test system with one hydrophone is realized and a recording program interface is written prior to the implementation of the main system. Experiments are made in the aquarium, the test pool and the sea.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"22 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":"125602701","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 comparative Study of MIMO Channel Models MIMO信道模型的比较研究
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298863
Müge Karaman Çolakoglu, M. Safak
{"title":"A comparative Study of MIMO Channel Models","authors":"Müge Karaman Çolakoglu, M. Safak","doi":"10.1109/SIU.2007.4298863","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298863","url":null,"abstract":"This paper presents a comparison between the outage capacity of multiple-input multiple-output (MIMO) channels predicted by Kronecker and Muller models as a function of the number of scatterers, transmit-and receive antennas. The results show that the channel capacity predictions by the Muller model are higher than those by the Kronecker model. This is because the Muller model is based on single scattering between transmit and receive antenna arrays, while the Kronecker model considers only the double-scattering.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"113 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":"124060047","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
Wavelet Denoising Before Support Vector Classification of Hyperspectral Images 高光谱图像支持向量分类前的小波去噪
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298728
B. Demir, S. Erturk
{"title":"Wavelet Denoising Before Support Vector Classification of Hyperspectral Images","authors":"B. Demir, S. Erturk","doi":"10.1109/SIU.2007.4298728","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298728","url":null,"abstract":"Hyperspectral image classification using support vector machines (SVM) after wavelet domain denoising is proposed in this paper. In the proposed approach, hyperspectral images are classified using SVM after noise reduction is carried out in each band independent of other bands using spatially adaptive Bayesian shrinkage. It is shown that support vector machine classification of denoised hyperspectral images gives significantly better classification accuracy and furthermore improves sparsity. Therefore this approach has faster testing time, compared with direct SVM based classification. This feature makes the denoised SVM based hyperspectral classification approach more suitable for applications that require low-complexity, and possibly real-time classification.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"45 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":"124435080","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
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