Rachele Anderson

Postdoktor
Fler filtreringsmöjligheter
  1. 2020
  2. Multitaper Spectral Granger Causality with Application to Ssvep

    Rachele Anderson & Maria Sandsten, 2020 maj, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE - Institute of Electrical and Electronics Engineers Inc., s. 1284-1288

    Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

  3. A multitaper reassigned spectrogram for increased time-frequency localization precision

    Maria Sandsten, Isabella Reinhold & Rachele Anderson, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE - Institute of Electrical and Electronics Engineers Inc., s. 5310-5314

    Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

  4. The matched reassigned cross-spectrogram for phase estimation

    Maria Sandsten, Rachele Anderson, Isabella Reinhold & Johan Brynolfsson, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE - Institute of Electrical and Electronics Engineers Inc., s. 5960-5964

    Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

  5. 2019
  6. Stochastic Modeling and Optimal Time-Frequency Estimation of Task-Related HRV

    Rachele Anderson, Peter Jönsson & Maria Sandsten, 2019 nov 28, I: Applied Sciences (Switzerland). 9, 23, 5154.

    Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

  7. Statistical inference and time-frequency estimation for non-stationary signal classification

    Rachele Anderson, 2019 sep 9, Lund, Sweden: Media-Tryck, Lund University, Sweden. 172 s.

    Forskningsoutput: AvhandlingDoktorsavhandling (sammanläggning)

  8. Inference for time-varying signals using locally stationary processes

    Rachele Anderson & Maria Sandsten, 2019 feb 1, I: Journal of Computational and Applied Mathematics. 347, s. 24-35

    Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

  9. 2018
  10. Classification of EEG signals based on mean-square error optimal time-frequency features

    Rachele Anderson & Maria Sandsten, 2018 nov 29, 2018 26th European Signal Processing Conference, EUSIPCO 2018. IEEE - Institute of Electrical and Electronics Engineers Inc., Vol. 2018-September. s. 106-110 5 s. 8553130

    Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

  11. Effects of Age, BMI, anxiety and stress on the parameters of a stochastic model for heart rate variability including respiratory information

    Rachele Anderson, Peter Jönsson & Maria Sandsten, 2018, BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. SciTePress, Vol. 4. s. 17-25 9 s.

    Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

  12. 2017
  13. Modelling and Inference using Locally Stationary Processes: Biomedical applications

    Rachele Anderson, 2017 nov, Lund: Lund University, Faculty of Science, Centre for Mathematical Sciences, Mathematical Statistics. 99 s.

    Forskningsoutput: AvhandlingLicentiatavhandling

  14. Approximate maximum likelihood estimation using data-cloning ABC

    Umberto Picchini & Rachele Anderson, 2017, I: Computational Statistics & Data Analysis. 105, s. 166-183 18 s.

    Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

  15. Stochastic modelling and optimal spectral estimation of EEG signals

    Rachele Anderson & Maria Sandsten, 2017, EMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017. Springer, Vol. 65. s. 908-911 4 s.

    Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding