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This paper considers the problem of the estimation of the motion parameters of multiple targets moving linearly in a three-dimensional (3-D) observation area contaminated by clutter. The measurements are limited to time differences of arrival (TDOAs) of short-duration acoustic emissions, or transients, generated by the targets. This problem can arise in(More)
A modified deterministic annealing expectation maximization (MDAEM) algorithm has been proposed [D. Carevic, ldquoAutomatic estimation of multiple target positions and velocities using passive TDOA measurements of transients,rdquo IEEE Transactions on Signal Processing, vol. 55, no. 2, pp. 424-436, 2007] for the estimation of the motion parameters of(More)
is coded separately using some standard technique that In this paper we consider a number of extensions to current exploits the spatial correlation between pixels, such as dif-adaptive compression methods for color images. One, we use ferential pulse code modulation (DPCM) [25], transform clustering or segmentation procedures to determine self-similar(More)
This paper describes a detection method that adapts to unknown characteristics of the underlying transient signal, such as location, length, and time-frequency content. It applies a set of embedded detectors tuned to a number of signal partitions. The detectors are based on the wavelet theory, whereby two different techniques are examined, one using local(More)
We consider a problem of modelling and tracking dynamic time-frequency spectra where the number of spectral components is allowed to vary in time. The proposed approach involves representing spectral densities as mixtures of normal distributions with an unknown number of components using a time-varying non-parametric Bayesian method. A multi-target tracking(More)
This paper considers track-before-detect algorithms that can be applied to modeling and tracking of dynamic time-frequency spectra where the number of spectral components is allowed to vary in time. The algorithms are the adaptive Dirichlet process mixture model-based Rao-Blackwellised particle filter (ADPM-RBPF) and the histogram probabilistic(More)
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