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CNN Technology for Spatiotemporal Signal Processing

  1. We apply the method of frequency-selective excitation waves in excitable media to characterize synchronization phenomena in interacting complex dynamical systems by measuring coincidence rates of induced excit...

    Authors: Anton Chernihovskyi, Christian E. Elger and Klaus Lehnertz
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:582412
  2. We present a software environment for the efficient simulation of cellular processor arrays (CPAs). This software (APRON) is used to explore algorithms that are designed for massively parallel fine-grained pro...

    Authors: David R.W. Barr and Piotr Dudek
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:751687
  3. A graphical environment for CNN algorithm development is presented. The new generation of graphical cards with many general purpose processing units introduces the massively parallel computing into PC environm...

    Authors: Balázs Gergely Soós, Ádám Rák, József Veres and György Cserey
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:930619
  4. In several relevant applications to the solution of signal processing tasks in real time, a cellular neural network (CNN) is required to be convergent, that is, each solution should tend toward some equilibriu...

    Authors: Mauro Di Marco, Mauro Forti, Massimo Grazzini and Luca Pancioni
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:730968
  5. The function of the low-level image processing that takes place in the biological retina is to compress only the relevant visual information to a manageable size. The behavior of the layers and different chann...

    Authors: Zsolt Vörösházi, Zoltán Nagy and Péter Szolgay
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:749838
  6. A cellular analog processor array for use in variable block-size motion estimation with a new simple method for shifting reference image data is presented. The new shift method leads to a greatly reduced numbe...

    Authors: Jonne Poikonen, Mika Laiho, Ari Paasio, Lauri Koskinen and Kari Halonen
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:127630
  7. Integrated Processors (IP) are algorithm-specific cores that either by programming or by configuration can be re-used within many microelectronic systems. This paper looks at Cellular Neural Networks (CNN) to ...

    Authors: Suleyman Malki and Lambert Spaanenburg
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:854241
  8. Computational fluid dynamics (CFD) is the scientific modeling of the temporal evolution of gas and fluid flows by exploiting the enormous processing power of computer technology. Simulation of fluid flow over ...

    Authors: Sándor Kocsárdi, Zoltán Nagy, Árpád Csík and Péter Szolgay
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:923404
  9. A cellular neural/nonlinear network (CNN) is used for NP-hard optimization. We prove that a CNN in which the parameters of all cells can be separately controlled is the analog correspondent of a two-dimensiona...

    Authors: Mária Ercsey-Ravasz, Tamás Roska and Zoltán Néda
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:646975