Search Results - "UCAN, O. N"

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  1. 1

    Residual separation of magnetic fields using a Cellular Neural Network approach by ALBORA, A. M, ÖZMEN, A, UCAN, O. N

    Published in Pure and applied geophysics (01-09-2001)
    “…--In this paper, a Cellular Neural Network (CNN) has been applied to a magnetic regional/residual anomaly separation problem. CNN is an analog parallel…”
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    Journal Article
  2. 2

    Channel-parameter estimation for turbo trellis coded modulation in OFDM systems by Ucan, O. N., Osman, O.

    “…In this paper, a blind maximum-likelihood channel-parameter estimation algorithm is developed for turbo trellis coded modulation (TTCM) in orthogonal frequency…”
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    Journal Article
  3. 3

    Error performance analysis of quadrature partial response trellis coded modulation (QPR-TCM) in fading mobile satellite channels by Panayirci, E., Aygolu, U., Ucan, O.N.

    Published in IEEE transactions on communications (01-02-1995)
    “…In order to improve the bandwidth efficiency and error performance, partial response signaling (PRS) and trellis coded modulation (TCM) are combined together…”
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    Journal Article
  4. 4

    Blind equalization of turbo trellis-coded partial-response continuous-phase modulation signaling over narrow-band Rician fading channels by Osman, O., Ucan, O.N.

    “…In this paper, a blind maximum-likelihood channel estimation algorithm is developed for turbo trellis-coded/continuous-phase modulation (TTC/CPM) signals…”
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    Journal Article
  5. 5

    Multilevel turbo coded-continuous phase frequency shift keying (MLTC-CPFSK) over satellite channels in space communication by Odabasioglu, N., Ucan, O.N., Hekim, Y.

    “…In this paper, in order to improve bit error performance and bandwidth efficiency, we introduce a new type of Turbo coded modulation scheme, called Multilevel…”
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    Conference Proceeding
  6. 6

    Space communication performance of progressive turbo coding by Buyukatak, K., Kent, S., Ucan, O.N.

    “…This paper describes a method, that allows progressively image transfer over space communication channel, in which the quality of the image passed to the…”
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    Conference Proceeding
  7. 7

    Genetic algorithm and image processing for osteoporosis diagnosis by Jennane, R, Almhdie-Imjabber, A, Hambli, R, Ucan, O N, Benhamou, C L

    “…Osteoporosis is considered as a major public health threat. It is characterized by a decrease in the density of bone, decreasing its strength and leading to an…”
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    Conference Proceeding Journal Article
  8. 8

    Performance of a combined trellis coded quantization/modulation over wireless local-loop environment by Uçan, O. N., Uysal, M., Paker, S.

    “…In this paper, a combined trellis coded quantization/modulation (TCQ/TCM) scheme is introduced for the wireless local‐loop environment modelled with realizable…”
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    Journal Article
  9. 9

    Performance and jitter analysis of quadrature partial response/trellis coded modulation (QPR-TCM) signals in the presence of intersymbol interference and colored noise by Ucan, O.N., Aygolu, U., Panayirci, E.

    “…To improve both bandwidth efficiency and error performance, partial response signaling and trellis coded modulation are considered together for QAM. A new…”
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    Journal Article
  10. 10

    A new approach for residual gravity anomaly profile interpretations: Forced Neural Network (FNN) by O. Osman, A. Muhittin Albora, O. N. Ucan

    Published in Annals of geophysics (01-12-2006)
    “…This paper presents a new approach for interpretation of residual gravity anomaly profiles, assuming horizontal cylinders as source. The new method, called…”
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    Journal Article
  11. 11

    Lung nodule diagnosis using 3D template matching by Osman, Onur, Ozekes, Serhat, Ucan, Osman N

    Published in Computers in biology and medicine (01-08-2007)
    “…Abstract In this paper, to utilize the third dimension of Computed Tomography, regions of interest (ROI) slices were combined to form 3D ROI image and a 3D…”
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    Journal Article
  12. 12

    Breast MR segmentation and lesion detection with cellular neural networks and 3D template matching by Ertaş, Gökhan, Gülçür, H.Özcan, Osman, Onur, Uçan, Osman N, Tunacı, Mehtap, Dursun, Memduh

    Published in Computers in biology and medicine (01-01-2008)
    “…Abstract A novel fully automated system is introduced to facilitate lesion detection in dynamic contrast-enhanced, magnetic resonance mammography (DCE-MRM)…”
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    Journal Article
  13. 13

    Trellis-coded quantization/modulation over mobile satellite channels with imperfect phase reference by UCAN, O. N

    “…In this paper the bit error performance of trellis‐coded quantization/modulation (TCQ/TCM) schemes is derived taking into account the quantization noise over…”
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    Journal Article
  14. 14

    VNA calibration by random neural network by Danaci, E., Ucan, O.N., Bayrak, M.

    “…A new calibration method is investigated for conventional VNA calibration. It is based on teaching the error terms of VNA to a Neural Network (NN). A…”
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    Conference Proceeding
  15. 15

    Estimation of stream temperature in firtina creek (Rize-Turkiye) using artificial neural network model by Sivri, Nuket, Kilic, Niyazi, Ucan, Osman N

    Published in Journal of environmental biology (01-01-2007)
    “…Water temperature is one of the most important environmental variables in aquatic ecosystem. Temperature changes may have positive or negative effects on…”
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    Journal Article
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  17. 17

    A fuzzy inference system combined with wavelet transform for breast mass classification by Gorgel, P., Sertbas, A., Ucan, O. N.

    “…This paper proposes a combination of the Fast Wavelet Transform (FWT) and Adaptive Neuro-fuzzy Inference System (ANFIS) methods. The goal is classification of…”
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    Conference Proceeding
  18. 18

    Modeling of SO2 distribution in Istanbul using artificial neural networks by Sahin, Ulku, Ucan, Osman N, Bayat, Cuma, Oztorun, Namık

    Published in Environmental modeling & assessment (01-06-2005)
    “…Urban air pollution is a growing problem in developing countries. Some compounds especially sulphur dioxide (SO₂) is considered as typical indicators of the…”
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    Journal Article
  19. 19

    Early diagnosis of osteoporosis using Artificial Neural Networks and Support Vector Machines by Istanbullu, M., Aydin, M., Benveniste, R., Ucan, O. N., Jennane, R.

    “…In the last decade, osteoporotic fractures became one of the most serious problems in public health. The life risk of suffering of an osteoporotic fracture is…”
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    Conference Proceeding
  20. 20

    Modeling of SO sub(2) distribution in Istanbul using artificial neural networks by Sahin, U, Ucan, ON, Bayat, C, Oztorun, N

    Published in Environmental modeling & assessment (01-06-2005)
    “…Urban air pollution is a growing problem in developing countries. Some compounds especially sulphur dioxide (SO sub(2)) is considered as typical indicators of…”
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    Journal Article