Now showing items 1-20 of 22

    • 2-D adaptive prediction based Gaussianity tests in microcalcification detection 

      Nafi Gürcan, M.; Yardimci, Y.; Enis Çetin, A. (1998)
      With increasing use of Picture Archiving and Communication Systems (PACS), Computer-aided Diagnosis (CAD) methods will be more widely utilized. In this paper, we develop a CAD method for the detection of microcalcification ...
    • Adaptive and efficient nonlinear channel equalization for underwater acoustic communication 

      Kari, D.; Vanli, N. D.; Kozat, S. S. (Elsevier B.V., 2017)
      We investigate underwater acoustic (UWA) channel equalization and introduce hierarchical and adaptive nonlinear (piecewise linear) channel equalization algorithms that are highly efficient and provide significantly improved ...
    • Adaptive filtering approaches for non-Gaussian stable processes 

      Arıkan, O.; Belge, M.; Çetin, A. E.; Erzin, E. (Institute of Electrical and Electronics Engineers, 1995)
      A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this paper, α-stable distributions, which have heavier tails than Gaussian distribution, are considered to model non-Gaussian ...
    • Adaptive filtering for non-gaussian stable processes 

      Arikan, O.; Cetin, A. E.; Erzin, E. (IEEE, 1994)
      A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this letter, a-stable distributions, which have heavier tails than Gaussian distribution, are considered to model non-Gaussian ...
    • Adaptive methods for dithering color images 

      Akarun, L.; Yardımcı, Y.; Çetin, A. E. (Institute of Electrical and Electronics Engineers, 1997-07)
      Most color image printing and display devices do not have the capability of reproducing true color images. A common remedy is the use of dithering techniques that take advantage of the lower sensitivity of the eye to spatial ...
    • Adaptive polyphase subband decomposition structures for image compression 

      Gerek, Ö. N.; Çetin, A. E. (IEEE, 2000)
      Subband decomposition techniques have been extensively used for data coding and analysis. In most filter banks, the goal is to obtain subsampled signals corresponding to different spectral regions of the original data. ...
    • A blind adaptive decorrelating detector for CDMA systems 

      Ulukus, S.; Yates, R.D. (1998)
      The decorrelating detector is known to eliminate multiaccess interference when the signature sequences of the users are linearly independent, at the cost of enhancing the Gaussian receiver noise. In this paper, we present ...
    • Boosted adaptive filters 

      Kari, D.; Mirza, A. H.; Khan, F.; Ozkan, H.; Kozat, S. S. (Elsevier, 2018)
      We introduce the boosting notion of machine learning to the adaptive signal processing literature. In our framework, we have several adaptive filtering algorithms, i.e., the weak learners, that run in parallel on a common ...
    • Boosted LMS-Based Piecewise Linear Adaptive Filters 

      Kari, D.; Marivani, I.; Delibalta, I.; Kozat, S.S. (European Signal Processing Conference, EUSIPCO, 2016)
      We introduce the boosting notion extensively used in different machine learning applications to adaptive signal processing literature and implement several different adaptive filtering algorithms. In this framework, we ...
    • A class of adaptive directional image smoothing filters 

      Gürelli, M. İ.; Onural, L. (Elsevier BV, 1996-12)
      The gray level distribution around a pixel of an image usually tends to be more coherent in some directions compared to other directions. The idea of adaptive directional filtering is to estimate the direction of higher ...
    • Entropy minimization based robust algorithm for adaptive networks 

      Köse, Kıvanç; Çetin, A. Enis; Gunay O. (IEEE, 2012)
      In this paper, the problem of estimating the impulse responses of individual nodes in a network of nodes is dealt. It was shown by the previous work in literature that when the nodes can interact with each other, fusion ...
    • Gibbs random field model based weight selection for the 2-D adaptive weighted median filter 

      Onural, L.; Alp, M. B.; Gürelli, M. I. (IEEE, 1994)
      A generalized filtering method based on the minimization of the energy of the Gibbs model is described. The well-known linear and median filters are all special cases of this method. It is shown that, with the selection ...
    • High resolution time frequency representation with significantly reduced cross-terms 

      Özdemir, K. A.; Arıkan, O. (Institute of Electrical and Electronics Engineers, 2000)
      A novel algorithm is proposed for efficiently smoothing the slices of the Wigner distribution by exploiting the recently developed relation between the Radon transform of the ambiguity function and the fractional Fourier ...
    • Image denoising using adaptive subband decomposition 

      Gezici, S.; Yilmaz I.; Gerek O.N.; Çetin, A.E. (2001)
      In this paper, we present a new image denoising method based on adaptive subband decomposition (or adaptive wavelet transform) in which the filter coefficients are updated according to an Least Mean Square (LMS) type ...
    • Linear/nonlinear adaptive polyphase subband decomposition structures for image compression 

      Gerek, Ö. N.; Çetin, A. E. (Institute of Electrical and Electronics Engineers, 1998)
      Subband decomposition techniques have been extensively used for data coding and analysis. In most filter banks, the goal is to obtain subsampled signals corresponding to different spectral bands of the original data. ...
    • Lossless image compression by LMS adaptive filter banks 

      Öktem, R.; Çetin, A. E.; Gerek, O. N.; Öktem, L.; Egiazarian, K. (Elsevier, 2001)
      A lossless image compression algorithm based on adaptive subband decomposition is proposed. The subband decomposition is achieved by a two-channel LMS adaptive filter bank. The resulting coefficients are lossy coded first, ...
    • Polyphase adaptive filter banks for fingerprint image compression 

      Gerek, Ö. N.; Çetin, A. E. (The Institution of Engineering and Technology, 1998-10-01)
      A perfect reconstruction polyphase filter bank structure is presented in which the filters adapt to the changing input conditions. The use of such a filter bank leads to higher compression results for images containing ...
    • Polyphase adaptive filter banks for subband decomposition 

      Greek Omer, N.; Cetin, A.Enis (IEEE, Piscataway, NJ, United States, 1998)
      Subband decomposition is widely used in signal processing applications including image and speech compression. In most practical cases, the goal is to obtain subband signals that are suitable for data compression. In this ...
    • Robust adaptive filtering algorithms for α-stable random processes 

      Aydin, G.; Arikan, O.; Çetin, A. E. (Institute of Electrical and Electronics Engineers, 1999-02)
      A new class of algorithms based on the fractional lower order statistics is proposed for finite-impulse response adaptive filtering in the presence of α-stable processes. It is shown that the normalized least mean p-norm ...
    • Robust least mean mixed norm adaptive filtering for α-stable random processes 

      Aydin, G.; Tanrikulu, O.; Cetin, A. E. (IEEE, Piscataway, NJ, United States, 1997)
      Based on the concept of Fractional Lower Order Statistics (FLOS), we present the Robust Least Mean Mixed Norm (RLMMN) adaptive algorithm for applications in impulsive environments modeled by α-stable distributions. A ...