Now showing items 1-20 of 30

    • 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 ...
    • Chirp filtering in the fractional Fourier domain 

      Dorsch, R. G.; Lohmann, A. W.; Bitran, Y.; Mendlovic, D.; Ozaktas, H. M. (Optical Society of America, 1994-11-10)
      In the Wigner domain of a one-dimensional function, a certain chirp term represents a rotated line delta function. On the other hand, a fractional Fourier transform (FRT) can be associated with a rotation of the ...
    • Comparison of the CAF-DF and sage algorithms in multipath channel parameter estimation 

      Guldogan, M.B.; Arikan, O. (2008)
      In this paper, performance of the recently proposed Cross Ambiguity Function - Direction Finding (CAF-DF) technique is compared with the Space Alternating Generalized Expectation Maximization (SAGE) technique. The CAF-DF, ...
    • Cost-efficient approximation of linear systems with repeated and multi-channel filtering configurations 

      Kutay, M. A.; Erden, M. F.; Ozaktas, H. M.; Arikan, O.; Candan, Ç.; Güleryüz, Ö. (IEEE, Piscataway, NJ, United States, 1998)
      It is possible to obtain either exact realizations or useful approximations of linear systems or matrix-vector products arising in many different applications, by synthesizing them in the form of repeated or multi-channel ...
    • Effects of linear filter on stability and performance of human-in-the-loop model reference adaptive control architectures 

      Yousefi, E.; Demir, D. F.; Sipahi, R.; Yucelen, T.; Yildiz, Y. (American Society of Mechanical Engineers, 2017)
      Model reference adaptive control (MRAC) can effectively handle various challenges of the real world control problems including exogenous disturbances, system uncertainties, and degraded modes of operations. In human-in-the-loop ...
    • Efficient algorithm to extract components of a composite signal 

      Özdemir, A. K.; Arıkan, O. (IEEE (Institute of Electrical and Electronics Engineers), 2000)
      An efficient algorithm is proposed to extract components of a composite signal. The proposed approach has two stages of processing in which the time-frequency supports of the individual signal components are identified and ...
    • Energetic efficient synthesis of general mutual intensity distribution 

      Zalevsky, Z.; Medlovic, D.; Ozaktas, H. M. (Institute of Physics Publishing, 2000)
      The mutual intensity distribution of a light beam may contain available information. The task of encoding a given mutual intensity distribution is addressed in this paper. Various approaches for encoding the mutual intensity ...
    • Filtering in fractional Fourier domains and their relation to chirp transforms 

      Özaktaş, H. M.; Barshan, B.; Onural, L.; Mendlovic, D. (IEEE, 1994)
      Fractional Fourier transforms, which are related to chirp and wavelet transforms, lead to the notion of fractional Fourier domains. The concept of filtering of signals in fractional domains is developed, revealing that ...
    • Fourier transforms of fractional order and their optical interpretation 

      Ozaktas, H. M.; Mendlovic, D. (Elsevier, 1993)
      Fourier transforms of fractional order a are defined in a manner such that the common Fourier transform is a special case with order a=1. An optical interpretation is provided in terms of quadratic graded index media and ...
    • Framework for online superimposed event detection by sequential Monte Carlo methods 

      Urfaliog̃lu O.; Kuruog̃lu, E.E.; Çetin, A.E. (2008)
      In this paper, we consider online seperation and detection of superimposed events by applying particle filtering. We concentrate on a model where a background process, represented by a 1D-signal, is superimposed by an ...
    • Influence function based Gaussianity tests for detection of microcalcifications in mammogram images 

      Gürcan, M. N.; Yardımcı, Y.; Çetin, A. E. (IEEE, Los Alamitos, CA, United States, 1999)
      In this paper, computer-aided diagnosis of microcalcifications in mammogram images is considered. Microcalcification clusters are an early sign of breast cancer. Microcalcifications appear as single bright spots in mammogram ...
    • Input sequence estimation and blind channel identification in HF communication 

      Khames, M.; Miled, B. H.; Arikan, O. (IEEE, Piscataway, NJ, United States, 2000)
      A new algorithm is proposed for reliable communication over HF tropospheric links in the presence of rapid channel variations. In the proposed approach, using fractionally space channel outputs, sequential estimation of ...
    • Interframe differential coding of line spectrum frequencies 

      Erzin, E.; Çetin, A. E. (IEEE, 1994)
      Line spectrum frequencies (LSF's) uniquely represent the linear predictive coding (LPC) filter of a speech frame. In many vocoders LSF's are used to encode the LPC parameters. In this paper, an inter-frame differential ...
    • Interframe differential vector coding of line spectrum frequencies 

      Erzin, E.; Çetin, A. E. (Institute of Electrical and Electronics Engineers, 1993)
      Line Spectrum Frequencies (LSF's) uniquely represent the Linear Predictive Coding (LPC) filter of a speech frame. In many vocoders LSF's are used to encode the LPC parameters. In this paper, an interframe differential ...
    • Morphological surface profile extraction from multiple sonars 

      Başkent, D.; Barshan, B. (IEEE, Piscataway, NJ, United States, 1998)
      This paper presents a novel method for surface profile determination using multiple sensors. Our approach is based on morphological processing techniques to fuse the range data from multiple sensor returns in a manner that ...
    • A multiresolution nonrectangular wavelet representation for two-dimensional signals 

      Çetin, A. E. (Elsevier, 1993)
      In this paper, a new multiresolution wavelet representation for two-dimensional signals is described. This wavelet representation is based on a nonrectangular decomposition of the frequency domain. The decomposition can ...
    • Neural networks based online learning 

      Ergen, T.; Kozat, S. S. (Institute of Electrical and Electronics Engineers Inc., 2017)
      In this paper, we investigate online nonlinear regression and introduce novel algorithms based on the long short term memory (LSTM) networks. We first put the underlying architecture in a nonlinear state space form and ...
    • A novel array signal processing technique for multipath channel parameter estimation 

      Güldoǧan, M.B.; Arikan, O. (2007)
      In this paper, a new array signal processing technique, which make use of the cross ambiguity function calculation, is proposed. Developed technique estimates direction of arrival (DOA), time delay, Doppler shift and ...
    • Online distributed nonlinear regression via neural networks 

      Ergen, T.; Kozat, S. S. (Institute of Electrical and Electronics Engineers Inc., 2017)
      In this paper, we study the nonlinear regression problem in a network of nodes and introduce long short term memory (LSTM) based algorithms. In order to learn the parameters of the LSTM architecture in an online manner, ...
    • Online exercise ECG signal orthogonalization 

      Acar, B.; Köymen H. (1996)
      In this paper an efficient method of making use of the redundancy in standard 12 lead ECG signals to eliminate noise is described. The method is based on orthogonalization via online Singular Value Decomposition (SVD). Its ...