Now showing items 1-15 of 15

    • 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 mixture methods based on Bregman divergences 

      Donmez, M. A.; Inan, H. A.; Kozat, S. S. (Elsevier, 2013)
      We investigate adaptive mixture methods that linearly combine outputs of m constituent filters running in parallel to model a desired signal. We use Bregman divergences and obtain certain multiplicative updates to train ...
    • Adaptive power control and MMSE interference suppression 

      Ulukus, S.; Yates, R.D. (1998)
      Power control algorithms assume that the receiver structure is fixed and iteratively update the transmit powers of the users to provide acceptable quality of service while minimizing the total transmitter power. Multiuser ...
    • An adaptive, energy-aware and distributed fault-tolerant topology-control algorithm for heterogeneous wireless sensor networks 

      Deniz, F.; Bagci, H.; Korpeoglu, I.; Yazıcı A. (Elsevier BV, 2016)
      This paper introduces an adaptive, energy-aware and distributed fault-tolerant topology-control algorithm, namely the Adaptive Disjoint Path Vector (ADPV) algorithm, for heterogeneous wireless sensor networks. In this ...
    • Discriminative fine-grained mixing for adaptive compression of data streams 

      Gedik, B. (Institute of Electrical and Electronics Engineers, 2014)
      This paper introduces an adaptive compression algorithm for transfer of data streams across operators in stream processing systems. The algorithm is adaptive in the sense that it can adjust the amount of compression applied ...
    • Dynamic threshold-based assembly algorithms for optical burst switching networks subject to burst rate constraints 

      Toksöz, M. A.; Akar, N. (Springer, 2010-04-17)
      Control plane load stems from burst control packets which need to be transmitted end-to-end over the control channel and furtherprocessed at core nodes of an optical burst switching (OBS) network for reserving resources ...
    • 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 ...
    • Improved convergence performance of adaptive algorithms through logarithmic cost 

      Sayin, M. O.; Vanli, N. D.; Kozat, S. S. (Institute of Electrical and Electronics Engineers, 2014)
      We present a novel family of adaptive filtering algorithms based on a relative logarithmic cost. The new family intrinsically combines the higher and lower order measures of the error into a single continuous update based ...
    • Model-free adaptive hysteresis for dynamic bandwidth reservation 

      Akar, Nail (IEEE, 2007-10)
      Dynamic bandwidth reservation refers to the process of dynamically updating the bandwidth allocation to a connection between two network end points on the basis of actual aggregate traffic demand of the connection. We ...
    • MPLS automatic bandwidth allocation via adaptive hysteresis 

      Akar, N.; Toksöz, M. A. (Elsevier, 2010-11-29)
      MPLS automatic bandwidth allocation (or provisioning) refers to the process of dynamically updating the bandwidth allocation of a label switched path on the basis of actual aggregate traffic demand on this path. Since ...
    • QR-RLS algorithm for error diffusion of color images 

      Unal, G. B.; Yardimci, Y.; Arikan, O.; Çetin, A. E. (SPIE, 2000)
      Printing color images on color printers and displaying them on computer monitors requires a significant reduction of physically distinct colors, which causes degradation in image quality. An efficient method to improve the ...
    • 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 

      Aydın, Gül; Tanrıkulu, O.; Çetin, Ahmet Enis (IEEE, 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 ...
    • Small moving object detection using adaptive subband decomposition in video sequences 

      Zaibi, R.; Cetin, E. A.; Yardimci, Y. C. (Society of Photo-Optical Instrumentation Engineers, Bellingham, WA, United States, 2000)
      In this paper, a small moving object method detection method in video sequences is described. In the first step, the camera motion is eliminated using motion compensation. An adaptive subband decomposition structure is ...
    • Wildfire detection using LMS based active learning 

      Töreyin, B. Uğur; Çetin, A. Enis (IEEE, 2009-04)
      A computer vision based algorithm for wildfire detection is developed. The main detection algorithm is composed of four sub-algorithms detecting (i) slow moving objects, (ii) gray regions, (iii) rising regions, and (iv) ...