Sciweavers

297 search results - page 10 / 60
» An adaptive level of detail approach to nonlinear estimation
Sort
View
IJON
2002
98views more  IJON 2002»
13 years 7 months ago
Blind deconvolution by simple adaptive activation function neuron
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...
Simone Fiori
ICCAD
2007
IEEE
173views Hardware» more  ICCAD 2007»
14 years 4 months ago
Bounding L2 gain system error generated by approximations of the nonlinear vector field
Abstract— Typical nonlinear model order reduction approaches need to address two issues: reducing the order of the model, and approximating the vector field. In this paper we fo...
Kin Cheong Sou, Alexandre Megretski, Luca Daniel
ADVIS
2004
Springer
13 years 11 months ago
On Families of New Adaptive Compression Algorithms Suitable for Time-Varying Source Data
In this paper, we introduce a new approach to adaptive coding which utilizes Stochastic Learning-based Weak Estimation (SLWE) techniques to adaptively update the probabilities of t...
Luís G. Rueda, B. John Oommen
DATE
2002
IEEE
100views Hardware» more  DATE 2002»
14 years 19 days ago
AccuPower: An Accurate Power Estimation Tool for Superscalar Microprocessors
This paper describes the AccuPower toolset -- a set of simulation tools accurately estimating the power dissipation within a superscalar microprocessor. AccuPower uses a true hard...
Dmitry Ponomarev, Gurhan Kucuk, Kanad Ghose
WSC
2007
13 years 10 months ago
Ant-based approach for determining the change of measure in importance sampling
Importance Sampling is a potentially powerful variance reduction technique to speed up simulations where the objective depends on the occurrence of rare events. However, it is cru...
Poul E. Heegaard, Werner Sandmann