CNN Technology for Spatiotemporal Signal Processing
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Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:854806
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Analysis of Synchronization Phenomena in Broadband Signals with Nonlinear Excitable Media
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...
Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:582412 -
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...
Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:751687 -
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...
Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:930619 -
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...
Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:730968 -
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...
Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:749838 -
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...
Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:127630 -
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 ...
Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:854241 -
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 ...
Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:923404 -
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...
Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:646975