Home > Research > Researchers > Dr Adam Sykulski > Publications

Dr Adam Sykulski

Formerly at Lancaster University

  1. 2016
  2. Published

    Exact simulation of noncircular or improper complex-valued stationary Gaussian processes using circulant embedding

    Sykulski, A. M. & Percival, D. B., 8/11/2016, 2016 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2016 - Proceedings. IEEE Computer Society, 6 p. 7738840

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  3. Published

    A Widely Linear Complex Autoregressive Process of Order One

    Sykulski, A. M., Olhede, S. C. & Lilly, J. M., 1/12/2016, In: IEEE Transactions on Signal Processing. 64, 23, p. 6200-6210 11 p., 7539658.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. 2017
  5. Published

    Discussion of “Should we sample a time series more frequently? Decision support via multirate spectrum estimation” by Nason, Powell, Elliott and Smith

    Sykulski, A., 02/2017, In: Journal of the Royal Statistical Society: Series A Statistics in Society. 180, 2, p. 400-401 2 p.

    Research output: Contribution to Journal/MagazineComment/debate

  6. Published

    Frequency-Domain Stochastic Modeling of Stationary Bivariate or Complex-Valued Signals

    Sykulski, A. M., Olhede, S. C., Lilly, J. M. & Early, J. J., 15/06/2017, In: IEEE Transactions on Signal Processing. 65, 12, p. 3136-3151 16 p., 7884990.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Published

    Fractional Brownian Motion, the Matérn Process, and Stochastic Modeling of Turbulent Dispersion

    Lilly, J. M., Sykulski, A. M., Early, J. J., Olhede, S. C. & May, M. E., 21/08/2017, In: Nonlinear Processes in Geophysics. 24, p. 481-514 34 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Published

    Analysis of Non-Stationary Modulated Time Series with Applications to Oceanographic Surface Flow Measurements

    Guillaumin, A. P., Sykulski, A. M., Olhede, S. C., Early, J. J. & Lilly, J. M., 09/2017, In: Journal of Time Series Analysis. 38, 5, p. 668-710 43 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. 2019
  10. Published

    The debiased Whittle likelihood

    Sykulski, A. M., Olhede, S. C., Guillaumin, A. P., Lilly, J. M. & Early, J. J., 1/06/2019, In: Biometrika. 106, 2, p. 251-266 16 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. Published

    Efficient Parameter Estimation of Sampled Random Fields

    Guillaumin, A. P., Sykulski, A. M., Olhede, S. C. & Simons, F. J., 4/07/2019, In: arXiv. 35 p.

    Research output: Contribution to Journal/MagazineJournal article

  12. 2020
  13. Published

    Smoothing and Interpolating Noisy GPS Data with Smoothing Splines

    Early, J. J. & Sykulski, A. M., 31/03/2020, In: Journal of Atmospheric and Oceanic Technology. 37, 3, p. 449-465 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  14. Published

    Nonparametric Time Series Summary Statistics for High-Frequency Accelerometry Data from Individuals with Advanced Dementia

    Suibkitwanchai, K., Sykulski, A., Perez Algorta, G., Waller, D. & Walshe, C., 25/09/2020, In: PLoS ONE. 15, 9, 23 p., e0239368.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

Back to top