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Conference Object Citation - Scopus: 2A Modular Fmcw Radar Rf Front End Design: Simulation and Implementation;(IEEE Computer Society, 2014) Daǧdeviren,B.; Kapusuz,K.Y.; Kara,A.In this work, simulations and preliminary measurement results of an S-band FMCW radar is presented. A commercial simulation tool (AWR-VSS) has been used at system level design stage of the radar. The simulation tool provides all functions regarding with transmitter, target and receiving blocks, and it finally feeds echo signals to the digital processing block implemented in MATLAB. The target range and velocity have been derived for simple target scenario in MATLAB. Then, a modular RF front end of the radar has been designed using commercial of the shelf (COTS) components. The radar system has been proved to be working in indoor environment using measurement equipment. Moreover, design of horn antennas for transmitting and reception blocks have been demonstrated. Real time signal processing functions will be developed at the next stage. © 2014 IEEE.Conference Object An algorithm for passive RFID based location estimation;(IEEE Computer Society, 2014) Ozyurt,E.; Aydin,E.; Yapici,A.C.In this study, an indoor localization system is developed for the mobile robots. The localization system consists of a passive RFID tag and a reader. The passive RFID tag is placed on the robot and reader antennas are spatially dispersed into the room. For the localization, Selective Adaptive Weighted Centroid Localization (SAWCL) algorithm is used. Performance of the localization system is evaluated for the different tags. © 2014 IEEE.Conference Object Citation - Scopus: 1Performance Evaluation of Self Organizing Neural Networks for Clustering in Esm Systems;(IEEE Computer Society, 2014) Gencol,K.; Tora,H.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. © 2014 IEEE.Conference Object Part-Based Object Extraction for Complex Objects;(IEEE Computer Society, 2014) Koyuncu,M.; Cetinkaya,B.Indexing requirement for efficient accessing to visual data has been increased with the widespread use of multimedia applications. Satisfaction of this requirement mostly depends on the automatic extraction of objects in the visual data. In this study, component-based object extraction method is compared with object extraction in its entirety. Applied method, implemented system and conducted tests are presented in this paper. Test results show that, even in the case of a good segmentation is achieved for whole object, object components are classified more successfully compared to whole object. © 2014 IEEE.Conference Object Citation - Scopus: 2The Use of Cumulants for Voiced-Unvoiced Segments Identification in Speech Signals;(IEEE Computer Society, 2014) Uslu,B.; Tora,H.In this study, voiced-unvoiced classification performance of Turkish sounds using skewness and kurtosis is examined. The analyses show that higher order cumulants can be employed as a feature in voiced-unvoiced classification that is vital in speech processing applications. Furthermore, it has been shown that cumulants are also useful for identifying voiced and unvoiced segments in noisy speech signals. © 2014 IEEE.Conference Object Citation - Scopus: 1Higher Order Statistical Analysis of Turkish Phones;(IEEE Computer Society, 2014) Tora,H.; Uslu,B.In this study, histograms of Turkish phones were examined using higher order cumulants. As is known, phones constituting a language, are composed of letters as vowels and consonants. These letters can also be grouped as voiced and unvoiced phones. It is observed that unvoiced letters show a Gaussian-like distribution and result in small values of skewness and kurtosis. On the other hand, vowels and voiced consonants lead to a non-Gaussian distribution. Voiced and unvoiced phones are related with their skewness and kurtosis values. It is empirically shown that higher order cumulants are likely to be a feature in describing Turkish phones. © 2014 IEEE.
