Gaussian Process Techniques for Wireless Communications

Details Gaussian Process Techniques for Wireless Communications Gaussian Process Techniques for Wireless Communications

2010-11-03

arxiv.org/abs/1011.0786v1

Computer Science

Information Theory

This is a Thesis A report submitted to School of Electrical Engineering & Telecommunications, University of New South Wales, A

Scientific paper

Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. Classical solutions such that Kalman filter and Particle filter are introduced in this report. Gaussian processes have been introduced as a non-parametric technique for system estimation from supervision learning. For the thesis project, we intend to propose a new, general methodology for inference and learning in non-linear state-space models probabilistically incorporating with the Gaussian process model estimation.

Affiliated with

Also associated with

No associations

Rating

Gaussian Process Techniques for Wireless Communications does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Gaussian Process Techniques for Wireless Communications, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Gaussian Process Techniques for Wireless Communications will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-602183