Dr. Elena Punskaya
You may have to work for it, however. Richard Bach, Illusions
After six years in the field of Mechanical Engineering (Applied Mechanics, Bauman Moscow State Technical University, Russia) Elena joined the Signal Processing Group of the Cambridge University Engineering Department, where she completed her MPhil and, later, PhD degree (St. John's College). She then held a Junior Research Fellowship and later a Fellowship at Homerton College, University of Cambridge, and was involved in real-world research development and first technology deployments with several Cambridge spin-offs. She is now a College Lecturer, Fellow, and Director of Studies in Engineering at Christ's College, University of Cambridge.
Her interests include Bayesian statistical inference, probabilistic data modelling, simulation-based methods for scientific computing, such as, Sequential Monte Carlo and Markov chain Monte Carlo methods, and applications in the areas of digital communication, signal and image processing, data mining, machine learning and pattern recognition, engineering for life sciences, finances and etc.
(Show All) Hide All- E. Punskaya, C. Andrieu, A. Doucet and W.J. Fitzgerald, "Particle Filtering for Demodulation in Fading Channels with Non-Gaussian Additive Noise," IEEE Transactions on Communications, vol. 49, no. 4, pp. 579-582, 2001.
- E. Punskaya, C. Andrieu, A. Doucet and W.J. Fitzgerald, "Bayesian Curve Fitting using MCMC with Applications to Signal Segmentation," IEEE Transactions on Signal Processing, vol. 50, no. 3, pp. 747-758, 2002.
- E. Punskaya, A. Doucet and W.J. Fitzgerald, "Particle Filtering for Joint Symbol and Code Delay Estimation in DS Spread Spectrum Systems in Multipath Environment," EURASIP Journal on Applied Signal Processing, no.15, pp. 2306-2314, 2004.
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C. Andrieu, A. Doucet, E. Punskaya, "Sequential Monte Carlo Methods for Optimal Filtering," in A. Doucet, N. de Freitas and N.J. Gordon, editors, Sequential Monte Carlo Methods in Practice, New York: Springer-Verlag, 2001. |
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E. Punskaya, A. Doucet, W.J Fitzgerald, "Particle filtering methods for Digital Communications", in The Telecom Handbook, 2006. |
- E. Punskaya, C. Andrieu, A. Doucet and W.J. Fitzgerald, "Particle Filters for Demodulation of M-ary Modulated Signals in Noisy Fading Communication Channels," in Proc. IEEE Conf. ICASSP, 2000.
- E. Punskaya, C. Andrieu, A. Doucet and W.J. Fitzgerald, "Particle Filtering for multi-user detection in fading CDMA channels," in Proc. IEEE SSP 2001.
- E. Punskaya, A. Doucet and W.J. Fitzgerald, "On the use and misuse of particle filtering in digital communications," invited paper, in Proc. EUSIPCO 2002.
- E. Punskaya, A. Doucet and W.J. Fitzgerald, "Particle Filtering for Joint Symbol and Parameter Estimation in DS Spread Spectrum Systems," in Proc. IEEE Conf. ICASSP, 2003.
- A.Craig, N.Haan, E.Punskaya and S.S. Tham, "Metabolite Profiling Normalisation", EP 06117553.5, July 2006.
- I.Drokov, E.Punskaya, E. Tahar, "Multi-factor user authentication on mobile devices", EP 05257924.0, December 2005.
- Sequential Monte Carlo Methods for Digital Communications, PhD thesis, Cambridge University Engineering Department, 2003. Also available as .ps (5,3 MB) .tar.gz (1,7 MB) .zip (1,7 MB).
- Bayesian Approaches to Multi-Sensor Data Fusion, MPhil thesis, Cambridge University Engineering Department, 1999. Also available as .ps (2,7 MB) .tar.gz (740 KB) .zip (740 KB).
- Particle Filtering for Optimal Detection in Fading Channels, (with C. Andrieu, A. Doucet, W.J. Fitzgerald), CUED/F-INFENG/TR 384, 2000.
- Bayesian Segmentation of Piecewise Constant Autoregressive Processes using MCMC,
(with C. Andrieu, A. Doucet, W.J. Fitzgerald), CUED/F-INFENG/TR 344, 1999.
.ps (1,6MB) .tar.gz (395KB) .pdf (513 KB)