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CNN Technology for Spatiotemporal Signal Processing

  1. Research Article

    APRON: A Cellular Processor Array Simulation and Hardware Design Tool

    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...

    David R.W. Barr and Piotr Dudek

    EURASIP Journal on Advances in Signal Processing 2009 2009:751687

    Published on: 7 May 2009

  2. Research Article

    GPU Boosted CNN Simulator Library for Graphical Flow-Based Programmability

    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...

    Balázs Gergely Soós, Ádám Rák, József Veres and György Cserey

    EURASIP Journal on Advances in Signal Processing 2009 2009:930619

    Published on: 26 April 2009

  3. Research Article

    Extended LaSalle's Invariance Principle for Full-Range Cellular Neural Networks

    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...

    Mauro Di Marco, Mauro Forti, Massimo Grazzini and Luca Pancioni

    EURASIP Journal on Advances in Signal Processing 2009 2009:730968

    Published on: 25 March 2009

  4. Research Article

    FPGA-Based Real Time, Multichannel Emulated-Digital Retina Model Implementation

    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...

    Zsolt Vörösházi, Zoltán Nagy and Péter Szolgay

    EURASIP Journal on Advances in Signal Processing 2009 2009:749838

    Published on: 4 March 2009

  5. Research Article

    An Analog Processor Array Implementing Interconnect-Efficient Reference Data Shift and SAD/SSD Extraction for Motion Estimation

    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...

    Jonne Poikonen, Mika Laiho, Ari Paasio, Lauri Koskinen and Kari Halonen

    EURASIP Journal on Advances in Signal Processing 2009 2009:127630

    Published on: 4 March 2009

  6. Research Article

    A CNN-Specific Integrated Processor

    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 ...

    Suleyman Malki and Lambert Spaanenburg

    EURASIP Journal on Advances in Signal Processing 2009 2009:854241

    Published on: 11 February 2009

  7. Research Article

    Simulation of Two-Dimensional Supersonic Flows on Emulated-Digital CNN-UM

    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 ...

    Sándor Kocsárdi, Zoltán Nagy, Árpád Csík and Péter Szolgay

    EURASIP Journal on Advances in Signal Processing 2009 2009:923404

    Published on: 26 January 2009

  8. Research Article

    Cellular Neural Networks for NP-Hard Optimization

    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...

    Mária Ercsey-Ravasz, Tamás Roska and Zoltán Néda

    EURASIP Journal on Advances in Signal Processing 2009 2009:646975

    Published on: 18 January 2009