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APPINF
2003
15 years 8 months ago
Preventing Computational Chaos in Asynchronous Neural Networks
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
Jacob Barhen, Vladimir Protopopescu
ICEC
1994
70views more  ICEC 1994»
15 years 8 months ago
Evolving Synaptic Connections for a Silicon Neuromorph
Our VLSI neuromorphs, possess extensive dendritic trees with hundreds of excitatory and inhibitory synaptic sites. Useful signal processing can be achieved by evolving the appropr...
David P. M. Northmore, John G. Elias
ICASSP
2010
IEEE
15 years 7 months ago
Generalized Discrete Fourier Transform with optimum correlations
— In this paper, we present design methods to optimize nonlinear phase functions of Generalized DFT (GDFT) for minimized auto and cross correlations. It is shown that GDFT offers...
Ali N. Akansu, Handan Agirman-Tosun
ICASSP
2010
IEEE
15 years 7 months ago
Distributed reconstruction of time-varying spatial fields based on consensus propagation
This work deals with the distributed measurement and reconstruction of time-varying spatial fields using wireless sensor networks (WSN). We use basis functions to formulate a low...
Valentin Schwarz, Gerald Matz
ICASSP
2010
IEEE
15 years 7 months ago
Optimized intrinsic dimension estimator using nearest neighbor graphs
We develop an approach to intrinsic dimension estimation based on k-nearest neighbor (kNN) distances. The dimension estimator is derived using a general theory on functionals of k...
Kumar Sricharan, Raviv Raich, Alfred O. Hero III