Tracking of multiple moving sources using recursive EM algorithm
EURASIP Journal on Applied Signal Processing
Multichannel ECG and noise modeling: application to maternal and fetal ECG signals
EURASIP Journal on Applied Signal Processing
A constrained sequential EM algorithm for speech enhancement
Neural Networks
Transmission rate allocation in multisensor target tracking over a shared network
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Low complexity semi-blind Bayesian iterative receiver for MIMO-OFDM systems
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Distributed scalable multi-target tracking with a wireless sensor network
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
On identification of FIR systems having quantized output data
Automatica (Journal of IFAC)
Speaker Tracking Using Recursive EM Algorithms
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
| Hi-index | 35.69 |
We investigate the application of expectation maximization (EM) algorithms to the classical problem of multiple target tracking (MTT) for a known number of targets. Conventional algorithms, which deal with this problem, have a computational complexity that depends exponentially on the number of targets, and usually divide the problem into a localization stage and a tracking stage. The new algorithms achieve a linear dependency and integrate these two stages. Three optimization criteria are proposed, using deterministic and stochastic dynamic models for the targets