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16 years 10 months ago
Introduction to Statistical Signal Processing
"A random or stochastic process is a mathematical model for a phenomenon that evolves in time in an unpredictable manner from the viewpoint of the observer. The phenomenon m...
R.M. Gray
98
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ICIP
2009
IEEE
16 years 1 months ago
Lidar Waveform Modeling Using A Marked Point Process
Lidar waveforms are 1D signal consisting of a train of echoes where each of them correspond to a scattering target of the Earth surface. Modeling these echoes with the appropriate...
CAISE
2008
Springer
15 years 2 months ago
Modelling, Simulation, and Performance Analysis of Business Processes Involving Ubiquitous Systems
A recent trend in Ubiquitous Computing is that embedded software (e.g. in production machines, wired or wireless networked sensors and actuators, or RFID readers) directly offers W...
Patrik Spieß, Dinh Khoa Nguyen, Ingo Weber, ...
98
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COMCOM
1998
95views more  COMCOM 1998»
15 years 13 days ago
Correlation properties of the token leaky bucket departure process
In this paper we focus on the behavior of the token leaky bucket mechanism with respect to second-order statistics of the departure process under various correlated cell arrival a...
Kenneth Mitchell, Appie van de Liefvoort, Jerry Pl...
NIPS
2008
15 years 2 months ago
Efficient Sampling for Gaussian Process Inference using Control Variables
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
Michalis Titsias, Neil D. Lawrence, Magnus Rattray