{"title":"Estimation of radar threshold in environments with unknown distribution","authors":"A.K. Ozdemir, M. Uner","doi":"10.1109/SIU.2011.5929773","DOIUrl":"https://doi.org/10.1109/SIU.2011.5929773","url":null,"abstract":"Radar threshold is a parameter that affects radar performance directly by causing a trade off between detection and false alarm probability. While designing radar systems, it must be set accurately in order to have reliable decisions about target detection. In this study, a radar threshold estimation method based on Generalized Pareto Distribution (GPD) is presented. The performance of this method for environments with different distributions is analyzed through simulations.","PeriodicalId":114797,"journal":{"name":"2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122857651","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}
{"title":"A region based target detection method for SAR images","authors":"Fatih Nar, C. Demirkesen, O. E. Okman, M. Çetin","doi":"10.1109/SIU.2011.5929774","DOIUrl":"https://doi.org/10.1109/SIU.2011.5929774","url":null,"abstract":"Automatic target detection methods for synthetic aperture radar (SAR) images are sensitive to image resolution, size of the target to be detected, clutter complexity, and speckle noise level. A robust automatic target detection method needs to be less sensitive to the above factors. In this study, a constant false alarm rate (CFAR) based automatic target detection method which can find a target and its heterogeneous clutter independent of the image resolution and the target size has been developed. The proposed method provides efficient memory usage and low computational complexity.","PeriodicalId":114797,"journal":{"name":"2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114569125","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}
{"title":"Fast resolution aware model fitting for noisy low resoluton image","authors":"A. Akyol, M. Gokmen","doi":"10.1109/SIU.2011.5929691","DOIUrl":"https://doi.org/10.1109/SIU.2011.5929691","url":null,"abstract":"Increasing the resolution of images by synthesis may cause errorneous results due to the assymetry problem. As stated in assymetry problem, models could not fit the lower resolution inputs due to increased interpolation and noise. In order to avoid this problem RAF (Resolution Aware Fitting) algorithm has been proposed. In this approach no processing has been performed on low resolution (LR) input, and the intermediate high resolution (HR) synthesis is warped and deformed. Though convergence to the real synthesis parameters is increased, ignorance of the observation noise and warping intermediate HR syntheses undermine the robustness and effectiveness of the algorithm. In this work a new synthesis-based approach is proposed in which again the assymetry problem is avoided. In addition to that the observation noise is incorporated into the model, and the HR warping operation is approximated in reduced dimesions. Thus increase in robustness and serious saving in computational load is obtained.","PeriodicalId":114797,"journal":{"name":"2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129805696","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}
{"title":"Field Programmable Analog Array Design for biomedical applications","authors":"Coskun Comlekci, Faik Baskaya, G. Dundar","doi":"10.1109/SIU.2011.5929836","DOIUrl":"https://doi.org/10.1109/SIU.2011.5929836","url":null,"abstract":"In this paper, a Field Programmable Analog Array design for biomedical applications is presented. It is known that general purpose FPAA's have low performance in very low frequency applications because of analog design limitations. In this paper, FPAA design using AMS 0.35 µm technology for very low frequency and low power is presented.","PeriodicalId":114797,"journal":{"name":"2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129677976","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}
{"title":"Optimization of the ECOC matrix","authors":"Cemre Zor, B. Yanikoglu","doi":"10.1109/SIU.2011.5929808","DOIUrl":"https://doi.org/10.1109/SIU.2011.5929808","url":null,"abstract":"Error Correcting Output Coding (ECOC) is a classifier combination technique for multiclass classification problems. In this approach, several base classifiers are trained to learn different dichotomies of the classes, specified by the columns of a code matrix. These classifiers' output for an unknown pattern is compared to the codeword of each class which is the desired output of the dichotomizers, in an error correcting fashion. While ECOC is one of the best solutions to multiclass problems, the solution is suboptimal due to the fact that the code matrix and the dichotomizers are set or learned independently. In this paper, we show an iterative update algorithm for the code matrix that is designed to reduce this decoupling. It consists of updates to the initial code matrix so as to reduce the discrepancy between the code matrix and the output of the trained dichotomizers. We show that the proposed algorithm improves over the basic ECOC approach, for some well-known data sets.","PeriodicalId":114797,"journal":{"name":"2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130310969","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}
J. Gazda, P. Drotár, M. Deumal, D. Kocur, P. Galajda
{"title":"Tone reservation for SFBC-OFDM transmission systems using null subcarriers","authors":"J. Gazda, P. Drotár, M. Deumal, D. Kocur, P. Galajda","doi":"10.1109/SIU.2011.5929874","DOIUrl":"https://doi.org/10.1109/SIU.2011.5929874","url":null,"abstract":"A combination of space-frequency-block-codes (SFBC) with orthogonal frequency division multiplexing (OFDM) has became a promising candidate for high performance 4G broadband wireless communications. However, a widely recognized nonlinear distortion due to the nonlinear power amplifiers reduces the efficiency of the SFBC-OFDM transmission and limits further network deployment. In this paper, we propose the strategy based on using the well-known tone reservation (TR) technique that was initially proposed to be used in conventional single antenna OFDM systems. However, in OFDM systems TR sacrifices a set of subcarrier prior to the transmission in order to reduce the signal envelope fluctuation, thereby reducing the data rate of the transmission. Here, we propose to use the zero tones introduced during the procedure of SFBC encoding using selected orthogonal design instead of reserving the set of subcarriers, which allows for achieving practically full data rate of the transmission. Numerical results indicate that the proposed method can significantly reduce the out-of-band radiation to the adjacent channels and therefore improve the overall performance of the system‥","PeriodicalId":114797,"journal":{"name":"2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130614013","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}
{"title":"Rom stereo video and time-of-flight camera","authors":"Tugrul K. Ates, Aydin Alatan","doi":"10.1109/SIU.2011.5929826","DOIUrl":"https://doi.org/10.1109/SIU.2011.5929826","url":null,"abstract":"Generating in-between images from multiple views of a scene is a crucial task for both computer vision and computer graphics fields. Photorealistic rendering, 3DTV and robot navigation are some of many applications which benefit from arbitrary view synthesis, if it is achieved in real-time. GPUs excel in achieving high computation power by processing arrays of data in parallel, which make them ideal for real-time computer vision applications. This paper proposes an arbitrary view rendering algorithm by using two high resolution color cameras along with a single low resolution time-of-flight depth camera and utilizing GPUs to achieve real-time processing rates. The presented ideas are examined in an experimental framework and based on the experimental results, it could be concluded that it is possible to realize content production and display stages of a free-viewpoint system in real-time by using only low-cost commodity computing devices.","PeriodicalId":114797,"journal":{"name":"2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123969137","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}
{"title":"A curve fitting method for point clouds based on local line projections","authors":"M. Ozturk, T. Kayikçioglu","doi":"10.1109/SIU.2011.5929626","DOIUrl":"https://doi.org/10.1109/SIU.2011.5929626","url":null,"abstract":"In this paper, we propose a method to reconstruct a simple curve without self-intersections from a set of unorganized points. Firstly, we utilized moving least squares method to reduce the point cloud to a thin curve. Besides, selection of local region is made with an automatic method based on eigenvalue analysis. Thus some problems are eliminated such as varying thickness of point clouds.","PeriodicalId":114797,"journal":{"name":"2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121290775","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}
{"title":"Named Entity Recognition by Conditional Random Fields from Turkish informal texts","authors":"Serap Ozkaya, B. Diri","doi":"10.1109/SIU.2011.5929737","DOIUrl":"https://doi.org/10.1109/SIU.2011.5929737","url":null,"abstract":"Named Entity Recognition (NER) being one of the areas of Natural Language processing can be domain dependent or independent for formal and informal texts aims to extract information about name entity such as person, location, organization, dates, formula and money. Rule Based methods and machine learning methods can be implemented in the system. In this study, Conditional Random Fields has been used to extract name entities which are person, location and organization names from informal texts.","PeriodicalId":114797,"journal":{"name":"2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114099325","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}
{"title":"Velocity estimation methods for frequency-only MIMO radar","authors":"Y. Kalkan, B. Baykal","doi":"10.1109/SIU.2011.5929591","DOIUrl":"https://doi.org/10.1109/SIU.2011.5929591","url":null,"abstract":"After finding position in 2D space, target velocity can be estimated by using found target position information and used cost function. In this paper, velocity estimation is achieved for pre-proposed target localization methods. For target localization, time of arrival (TOA), angle of arrival (AOA) and frequency of arrival (FOA) informations can be used in cooperation. When the time resolution of the transmitted signals is not enough or good,i.e.; unmodulated CW radar, we can not rely on the TOA information to localize the target. On the other hand, if the frequency resolution of the transmitted signals is enough, only received frequencies can be used for finding the position of the target. Localization of a moving, non-maneuvering target is possible by using Doppler-shift measurements in MIMO radar systems. This is a nonlinear problem and it can be solved by grid searching. After defining suitable cost function for grid search, desired area can be searched grid by grid to find the position of the target in 2D space. After target positioning is achieved, velocity of the target can be found by using predefined cost function.","PeriodicalId":114797,"journal":{"name":"2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114362059","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}