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L.B. White, Cramer-Rao Bounds and Maximum Likelihood Estimation for Narrowband Temporally Correlated Gaussian Signals Incident on a Sensor Array, 8th October 2015.

  Abstract: This presentation considers modelling and estimation for narrowband sensor array processing in the presence of temporal signal correlation. When the incident signals are spatially uncorrelated, we derive a spatio-temporal signal model based on Kronecker calculus. For the Gaussian case, we derive formulae for the Cramer-Rao bounds for the angles-of-arrival and signal parameters. The […]

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Research Seminar 24th October – Reciprocal Processes on Directed Graphs : Applications in Destination Aware Tracking

Abstract: This seminar considers Bayesian state estimation and maximum likelihood classification of reciprocal processes (one-dimensional Markov random fields) whose state space corresponds to a directed graph. Such processes can model the time evolution of targets constrained to a digital roadmap (directed graph) and that are destination aware, i.e., the target has a well defined destination […]

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