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» Sampling-rate-aware noise generation
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ICES
2001
Springer
91views Hardware» more  ICES 2001»
14 years 1 months ago
Untidy Evolution: Evolving Messy Gates for Fault Tolerance
Abstract. The exploitation of the physical characteristics has already been demonstrated in the intrinsic evolution of electronic circuits. This paper is an initial attempt at crea...
Julian F. Miller, Morten Hartmann
AISB
1994
Springer
14 years 1 months ago
An Empirical Comparison of Selection Methods in Evolutionary Algorithms
Selection methods in Evolutionary Algorithms, including Genetic Algorithms, Evolution Strategies ES and Evolutionary Programming, EP are compared by observing the rate of converge...
Peter J. B. Hancock
CORR
2007
Springer
138views Education» more  CORR 2007»
13 years 9 months ago
Low Density Lattice Codes
— Low density lattice codes (LDLC) are novel lattice codes that can be decoded efficiently and approach the capacity of the additive white Gaussian noise (AWGN) channel. In LDLC...
Naftali Sommer, Meir Feder, Ofir Shalvi
JMLR
2006
105views more  JMLR 2006»
13 years 9 months ago
Linear State-Space Models for Blind Source Separation
We apply a type of generative modelling to the problem of blind source separation in which prior knowledge about the latent source signals, such as time-varying auto-correlation a...
Rasmus Kongsgaard Olsson, Lars Kai Hansen
VC
2008
93views more  VC 2008»
13 years 9 months ago
Efficient product sampling using hierarchical thresholding
Abstract We present an efficient method for importance sampling the product of multiple functions. Our algorithm computes a quick approximation of the product on-the-fly, based on ...
Fabrice Rousselle, Petrik Clarberg, Luc Leblanc, V...