2008 IEEE 16th Signal Processing, Communication and Applications Conference

20-22 April 2008

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Displaying Results 1 - 25 of 226
  • Super resolution image reconstruction from low resolution aliased images

    Publication Year: 2008, Page(s):1 - 5
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (792 KB) | HTML iconHTML

    Super resolution(SR) algorithms reconstruct a higher resolution image from a set of low resolution images of a scene. Precise alignment of image set is the essential part of these algorithms. If the low resolution images are undersampled and have aliasing effects, performance of the registration algorithms will decrease. In this paper, a new frequency domain approach to precisely registration of l... View full abstract»

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  • On the design of a superior irregular LDPC code

    Publication Year: 2008, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (621 KB) | HTML iconHTML

    In this paper, low density parity check (LDPC) codes are considered. Design techniques are examined and new LDPC codes with improved error performance are proposed for irregular LDPC codes. Especially for BPSK modulation and AWGN channel, superior LDPC codes are successfully designed for R = 0.5 and N = 1000. For the designed superior irregular codes, it can be said that not only the performance o... View full abstract»

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  • Adaptive cooperative diversity based on quadrature signaling

    Publication Year: 2008, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (767 KB) | HTML iconHTML

    In this paper, bit error performance of the cooperative diversity system based on quadrature signaling with 16 quadrature amplitude modulation (QAM) is analyzed. An adaptive cooperative diversity system based on quadrature signaling is proposed to increase bit error performance. The level of square envelope of fading coefficients of interuser channels and main channels between users and base stati... View full abstract»

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  • 3D face representation using scale and transform invariant features

    Publication Year: 2008, Page(s):1 - 4
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (789 KB) | HTML iconHTML

    In this study a representation using scale and invariant generic 3D features, for 3D facial models is proposed. These generic feature vectors obtained from descriptive parts of the face like eyes, nose, or nose saddle, are then convolved into a graphical model where a characteristic topology for a 3D facial model representation is achieved. These scale and invariant 3D features are determined by u... View full abstract»

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  • A speaker recognition system using by cross correlation

    Publication Year: 2008, Page(s):1 - 4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (499 KB) | HTML iconHTML

    In this paper, we studied a speaker independent isolated speaker recognition system for Turkish language by using cross correlation technique. The power spectrumpsilas of each keyword speech for different speakerpsilas determined using the linear predictive coding in order to constitute a feature vectors database that consists these spectrums. A new test input power spectrumpsilas then compared wi... View full abstract»

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  • Region-based image segmentation via graph cuts

    Publication Year: 2008, Page(s):1 - 4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4011 KB)

    A graph theoretic color image segmentation algorithm is proposed, in which the popular normalized cuts image segmentation method is improved with modifications on its graph structure. The image is represented by a weighted undirected graph, whose nodes correspond to over-segmented regions, instead of pixels, that decreases the complexity of the overall algorithm. In addition, the link weights betw... View full abstract»

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  • Parametric power spectrum analysis of epileptic seizure

    Publication Year: 2008, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (774 KB)

    In the present study, parametric methods of Burg and Music are performed to estimate power spectral densities of intracranial epileptic EEG records. The results show that the high order Burg method is more useful in detecting of ictal spikes within 0-5 Hz. Besides, low frequency components of epileptic EEG are observed via lower order Music method. View full abstract»

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  • A view of lineaments on East Anatolian Fault Zone using by wavelet analysis method

    Publication Year: 2008, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1321 KB)

    In this study, Wavelet analysis is applied to gravity anomaly data in which geophysical data. Study area is chosen by East Anatolian region. Lineaments and neotectonic information is detected using by wavelet analysis carry out Bouger digital data. The vertical, horizontal and diagonal components of wavelet output are evaluated simultaneously and an underground model is obtained by suitable cross-... View full abstract»

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  • A graph-based approach for video scene detection

    Publication Year: 2008, Page(s):1 - 4
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (663 KB)

    In this paper, a graph-based method for video scene detection is proposed. The method is based on a weighted undirected graph. Each shot is a vertex on the graph. Edge weights among the vertices are evaluated by using spatial and temporal similarities of shots. By using the complete information of the graph, a set of the vertices mostly similar to each other and dissimilar to the others is detecte... View full abstract»

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  • Determination of structure boundaries in Archaeological ruins by using Cellular Neural Networks (CNN)

    Publication Year: 2008, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1324 KB)

    In this study de-noising of magnetic anomaly maps from archeological areas are applied cellular neural networks (CNN) in order to determine the structure boundaries. It is important that border detection and separated anomaly of archaeological ruins in archeo-geophysical studies. Study area is Sivas-Altinyayla region, which is located in the east of Basoren village. Magnetic map obtained from magn... View full abstract»

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  • Analysis of vibration signals related to fuel tank in a passenger coach

    Publication Year: 2008, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5052 KB)

    In this study, the data which was taken from accelerometer located in vertical direction to fuel tank chassis of a traveler bus has been analyzed. Firstly vibration signal related to the endurance of the connection has been observed as a raw data on the time-frequency plane and then it has been passed from a critical frequency 20 Hz low pass filter and power spectrum changes have been observed. Af... View full abstract»

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  • Genre and author detection in Turkish texts using artificial immune recognition systems

    Publication Year: 2008, Page(s):1 - 4
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (650 KB)

    This study is made for investigating the performance of artificial immune recognition systems on genre and author detection by using method referenced as (H. Yildiz et al., 2007) based on representation of a document in a different scheme. Most of the studies done nowadays depend on bag of words model which takes the roots or the stems of the words as features. This situation both increases the nu... View full abstract»

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  • Smart antenna based location estimation for wireless sensor networks

    Publication Year: 2008, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (696 KB) | HTML iconHTML

    In this work, we introduce a simple and practical location estimation technique which uses AAAs at the central node in WSNs. This localization technique is based on scanning the desired region in azimuth and radial directions by changing parameters of downlink beam. This sweeping process can activate the nodes in the desired region which is specified by antenna beam width and beam direction of the... View full abstract»

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  • A novel neural network method for direction of arrival estimation with uniform cylindrical 12-element microstrip patch array

    Publication Year: 2008, Page(s):1 - 4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (674 KB) | HTML iconHTML

    In this study a new neural network algorithm is proposed for real time multiple source tracking problem with cylindrical patch antenna array based on a previously reported Modified Neural Multiple Source Tracking Algorithm(MN-MUST). The proposed algorithm, namely Cylindrical Microstrip Patch Array Modified Neural Multiple Source Tracking Algorithm (CMN-MUST) implements MN-MUST algorithm on a cylin... View full abstract»

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  • Using LBG algorithm for extracting the features of EMG signals

    Publication Year: 2008, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (631 KB) | HTML iconHTML

    The Electromyographic (EMG) signals observed at the surface of the skin is the sum of many small action potentials generated in the muscle fibers. There is only a pattern for each EMG signals, which are generated by biceps and triceps muscles. There are different types of signal processing in order to find out the feature values for true classification in this pattern. In this study, the Feature v... View full abstract»

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  • Segmentation of hyperspectral images using fuzzy approaches

    Publication Year: 2008, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (753 KB) | HTML iconHTML

    In this paper fuzzy clustering algorithms are utilized for the segmentation of hyperspectral images. For this purpose fuzzy c-means and an extended version of this algorithm, namely the fuzzy Gustafson-Kessel algorithms are used. Because of the high dimensionality in hyperspectral images, the data dimension is reduced using the Discrete Wavelet Transform. The advantage of using fuzzy approaches fo... View full abstract»

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  • Model order sensitivity of Burg Method for EEG diagnosis

    Publication Year: 2008, Page(s):1 - 2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (616 KB) | HTML iconHTML

    In the present study, eyes open and eyes closed EEG records of healthy volunteersa and intracrinal EEG records of epilepsy patiants are analysed by the Burg Method. The results of power spectral densities shows that clinical long EEG data correspondes with high order autoregressive (AR) model. The higher frequency resolution is obtained as empirically selected model order increases. High order for... View full abstract»

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  • A new high performance CMOS fully differantial second generation current conveyor

    Publication Year: 2008, Page(s):1 - 4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (813 KB) | HTML iconHTML

    In this paper, a new CMOS high performance fully differential second-generation current conveyor (FDCCII) is presented. The proposed FDCCII provides good linearity, high output impedance at terminals Z+ and Z-, and excellent output-input current gain accuracy. Besides the proposed FDCCII circuit operating at a supply voltage of plusmn 1.25 V. The applications of the FDCCII to realize a voltage-mod... View full abstract»

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  • Fast digital image stabilization using constrained one-bit transform, sparse search points, and partial distortion search

    Publication Year: 2008, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (611 KB) | HTML iconHTML

    Several improvements are proposed to speed-up the two dimensional full search based digital image sequence stabilization process in this work. Firstly, the kernel used in the constrained one-bit transform based stabilization approach is modified to reduce the computational load. Next, the utilization of a sparse search point approach is investigated. Finally, a partial distortion search approach u... View full abstract»

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  • High-rate balanced space-time block code selection

    Publication Year: 2008, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (688 KB) | HTML iconHTML

    In this paper, the rate of full-rate balanced space-time block code selection scheme (BSTBCS) is increased by power scaling without decreasing the diversity order. As a simple case, for the balanced code pair with three transmit antennas, the optimum power scaling factor is obtained theoretically to maximize the coding gain (CG) and to minimize the peak-to-minimum power ratio (PMPR). By computer s... View full abstract»

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  • Performance improvement via AR modeling based linear prediction for TDD-MIMO systems

    Publication Year: 2008, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (615 KB) | HTML iconHTML

    The quality of channel state information (CSI) affects the performance of wireless systems. This is especially true for multiple input multiple output (MIMO) systems which use multiple antennas at transmitter and receiver. In time division duplex (TDD) systems, CSI for downlink can be obtained from uplink channel using reciprocity principal. However, the performance of MIMO system can be degraded ... View full abstract»

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  • A new distance measure for hierarchical clustering

    Publication Year: 2008, Page(s):1 - 4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1262 KB) | HTML iconHTML

    Support vector machine (SVM) classifier formulation is originally designed for binary classification, and the extension of it to the multi-class case is still an open research problem. Classical approaches such as one-against-one or one-against-all have been used to address the multi-class problem, but these approaches become less appealing when the number of classes in the training set is too lar... View full abstract»

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  • A novel edge detector based on light refraction law

    Publication Year: 2008, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (686 KB) | HTML iconHTML

    In this paper, light refraction law based a novel edge detection algorithm was described. In the proposed method, center pixel deemed a light source. Neighbor pixels are deemed different environments refracted the light. The minimum value of ratio of these different environments refraction indices qualifies the edge knowledge of center pixels. Edges are determined rigorously in the image through t... View full abstract»

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  • A 2 dimensional solar radiation model

    Publication Year: 2008, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (879 KB) | HTML iconHTML

    In this study solar radiation data obtained from Eskisehir region is mathematically modeled using a two dimentional (2D) approach. The approach and model is novel in the literature of solar radiation modeling. The analysis is based on mathematical behavior of hourly and daily behavioral cross-sections of the 2D data. It is observed that the deviation of the hourly data within a day exhibits a Gaus... View full abstract»

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  • Detecting residential regions in satellite images using local features and graph matching

    Publication Year: 2008, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1164 KB) | HTML iconHTML

    Local invariants are powerful tools to recognize objects in an image under transformations. In this study, we propose a novel method to detect residential regions by using local SIFT (scale invariant feature transform) features in satellite images. For this purpose, we construct graphs using image features as nodes and their neighborhoods as edges. We then match the extracted graphs with the ones ... View full abstract»

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