Sciweavers

297 search results - page 10 / 60
» An adaptive level of detail approach to nonlinear estimation
Sort
View
IJON
2002
98views more  IJON 2002»
14 years 9 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»
15 years 6 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
15 years 1 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»
15 years 2 months 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
15 years 4 days 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