Search Results - "Djuric, P. M."

Asymptotic MAP criteria for model selection by Djuric, P.M.

“…The two most popular model selection rules in signal processing literature have been Akaike's (1974) criterion (AIC) and Rissanen's (1978) principle of minimum…”
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A model selection rule for sinusoids in white Gaussian noise by Djuric, P.M.

“…The model selection problem for sinusoidal signals has often been addressed by employing the Akaike (1974) information criterion (AIC) and the minimum…”
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Gaussian sum particle filtering by Kotecha, J.H., Djuric, P.M.

“…We use the Gaussian particle filter to build several types of Gaussian sum particle filters. These filters approximate the filtering and predictive…”
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Resampling algorithms and architectures for distributed particle filters by Bolic, M., Djuric, P.M., Sangjin Hong

“…In this paper, we propose novel resampling algorithms with architectures for efficient distributed implementation of particle filters. The proposed algorithms…”
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A fast-weighted Bayesian bootstrap filter for nonlinear model state estimation by Beadle, E.R., Djuric, P.M.

“…In discrete-time system analysis, nonlinear recursive state estimation is often addressed by a Bayesian approach using a resampling technique called the…”
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Unsupervised vector image segmentation by a tree structure-ICM algorithm by Jong-Kae Fwu, Djuric, P.M.

“…In recent years, many image segmentation approaches have been based on Markov random fields (MRFs). The main assumption of the MRF approaches is that the class…”
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Detection and estimation of DOA's of signals via Bayesian predictive densities by Chao-Ming Cho, Djuric, P.M.

“…A new criterion based on Bayesian predictive densities and subspace decomposition is proposed for simultaneous detection of signals impinging on a sensor array…”
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EM algorithm for image segmentation initialized by a tree structure scheme by Jong-Kae Fwu, Djuric, P.M.

“…In this correspondence, the objective is to segment vector images, which are modeled as multivariate finite mixtures. The underlying images are characterized…”
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On the detection of edges in vector images by Djuric, P.M., Jong-Kae Fwu

“…A novel method for edge detection in vector images is proposed that does not require any prior knowledge of the imaged scenes. In the derivation, it is assumed…”
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Blind equalization of frequency-selective channels by sequential importance sampling by Miguez, J., Djuric, P.M.

“…This paper introduces a novel blind equalization algorithm for frequency-selective channels based on a Bayesian formulation of the problem and the sequential…”
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A sequential Monte Carlo method for adaptive blind timing estimation and data detection by Ghirmai, T., Bugallo, M.F., Miguez, J., Djuric, P.M.

“…Accurate estimation of synchronization parameters is critical for reliable data detection in digital transmission. Although several techniques have been…”
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A blind particle filtering detector of signals transmitted over flat fading channels by Yufei Huang, Djuric, P.M.

“…A new particle filtering detector (PFD) is proposed for blind signal detection over flat Rayleigh fading channels whose model coefficients are unknown. The…”
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Bayesian detection and estimation of cisoids in colored noise by Chao-Ming Cho, Djuric, P.M.

“…The problem of estimating the number of cisoids in colored noise is addressed. It is assumed that the noise can be modeled by an autoregression whose order has…”
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Model selection based on Bayesian predictive densities and multiple data records by Djuric, P.M., Kay, S.M.

“…Bayesian predictive densities are used to derive model selection rules. The resulting rules hold for sets of data records where each record is composed of an…”
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An MCMC sampling approach to estimation of nonstationary hidden Markov models by Djuric, P.M., Joon-Hwa Chun

“…Hidden Markov models (HMMs) represent a very important tool for analysis of signals and systems. In the past two decades, HMMs have attracted the attention of…”
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Metabolomics of neural progenitor cells: a novel approach to biomarker discovery by Maletić-Savatić, M, Vingara, L K, Manganas, L N, Li, Y, Zhang, S, Sierra, A, Hazel, R, Smith, D, Wagshul, M E, Henn, F, Krupp, L, Enikolopov, G, Benveniste, H, Djurić, P M, Pelczer, I

“…Finding biomarkers of human neurological diseases is one of the most pressing goals of modern medicine. Most neurological disorders are recognized too late…”
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An efficient fixed-point implementation of residual resampling scheme for high-speed particle filters by Sangjin Hong, Bolic, M., Djuric, P.M.

“…A novel low-complexity residual resampling scheme for particle filters is presented. The proposed scheme uses a simple but effective "particle-tagging" method…”
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High-throughput scalable parallel resampling mechanism for effective redistribution of particles by Sangjin Hong, Djuric, P.M.

“…A novel resampling mechanism for parallel processing of fixed-point particle filtering is discussed. The proposed mechanism utilizes a particle-tagging scheme…”
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Bayesian detection for BLAST by Yufei Huang, Jianqiu, Zhang, Djuric, P.M.

“…This work demonstrates the use of the Bayesian methodology for detection in Bell Laboratories Layered Space-Time (BLAST) systems. First, we introduce a…”
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Frequency tracking in power networks in the presence of harmonics by Begovic, M.M., Djuric, P.M., Dunlap, S., Phadke, A.G.

“…Three new techniques for frequency measurement are proposed. The first is a modified zero-crossing method using curve fitting of voltage samples. The second…”
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