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- Dragana Carevic, Terry Caelli
- CVGIP: Graphical Model and Image Processing
- 1997

adaptive compression methods for color images. One, we use ferential pulse code modulation (DPCM) [25], transform clustering or segmentation procedures to determine self-similar coding [25, 30], and vector quantization [12], developed image regions. Two, for each such region we use a Karhunen– initially for encoding monochrome images. This approach Loeve… (More)

- Dragana Carevic
- IEEE Transactions on Signal Processing
- 2007

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)

- Dragana Carevic
- IEEE Transactions on Signal Processing
- 2008

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)

This report investigates an approach to characterising Ground Probing Radar (GPR) backscatter echoes from landmines using linear combinations of exponentially damped sinusoids. The GPR signatures of surrogate landmines and PVC cylinders buried in dry sand are measured using an impulse radar system with centre frequency of 1.4 GHz and a 90% bandwidth. The… (More)

- Dragana Carevic
- The Journal of the Acoustical Society of America
- 2005

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)

- Dragana Carevic, Terry Caelli
- ICPR
- 1996

- Dragana Carevic
- 2013

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)

- Dragana Carevic
- 2004

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 general wavelet theory whereby two different techniques are examined, (1) the… (More)

- Dragana Carevic, Samuel J. Davey
- IEEE Transactions on Signal Processing
- 2016

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)

- Dragana Carevic
- 2009

This paper considers the problem of detecting unknown bandpass acoustic transients in highly impulsive ambient noise such as that produced by snapping shrimp. Standard transient detection techniques apply the periodogram which is a classical direct nonparametric spectrum estimation method. The periodogram can be limited due to its poor bias properties… (More)

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