E. Punskaya

Sequential Monte Carlo Methods for Optimal Filtering

Christophe Andrieu, Arnaud Doucet, E. Punskaya, 2001, Sequential Monte Carlo Methods in Practice.

Bayesian curve fitting using MCMC with applications to signal segmentation

Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald, 2002, IEEE Trans. Signal Process..

Particle filtering for multiuser detection in fading CDMA channels

A. Doucet, C. Andrieu, E. Punskaya, 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).

On the use and misuse of particle ltering in digital communications

A. Doucet, E. Punskaya, W. Fitzgerald, 2002 .

Particle Filtering in Digital Communications

A. Doucet, E. Punskaya, W. Fitzgerald, 2007 .

Dataset Bias in Deception Detection

E. Punskaya, H. Gunes, Ara Mambreyan, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Particle Filtering for Joint Symbol and Code Delay Estimation in DS Spread Spectrum Systems in Multipath Environment

Arnaud Doucet, William J. Fitzgerald, Elena Punskaya, 2004, EURASIP J. Adv. Signal Process..

Particle filtering for demodulation in fading channels with non-Gaussian additive noise

Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald, 2001, IEEE Trans. Commun..

Optimising node selection probabilities in multi-hop M/D/1 queuing networks to reduce latency of Tor

Steven J. Murdoch, Steven Herbert, E. Punskaya, 2014 .

Particle filters for demodulation of M-ary modulated signals in noisy fading communication channels

Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).