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» Performance modeling using Monte Carlo simulation
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IPSN
2004
Springer
15 years 5 months ago
A probabilistic approach to inference with limited information in sensor networks
We present a methodology for a sensor network to answer queries with limited and stochastic information using probabilistic techniques. This capability is useful in that it allows...
Rahul Biswas, Sebastian Thrun, Leonidas J. Guibas
ICETET
2009
IEEE
15 years 6 months ago
A Comparison Study of Receiver Performances on Ultrawide Band Indoor Wireless Channel Model
For high data rate ultra wideband communication system, performance comparison of Rake, MMSE and RakeMMSE receivers is attempted in this paper. The effect of the number of Rake fin...
Bikramaditya Das, Susmita Das
WSC
2004
15 years 1 months ago
Quasi-Monte Carlo Methods in Finance
We review the basic principles of Quasi-Monte Carlo (QMC) methods, the randomizations that turn them into variancereduction techniques, and the main classes of constructions under...
Pierre L'Ecuyer
ICML
1999
IEEE
16 years 17 days ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
78
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ICIP
2008
IEEE
15 years 6 months ago
Blind restoration of blurred photographs via AR modelling and MCMC
We propose a new image and blur prior model, based on nonstationary autoregressive (AR) models, and use these to blindly deconvolve blurred photographic images, using the Gibbs sa...
Tom E. Bishop, Rafael Molina, James R. Hopgood