Maria Sandsten
31 – 40 of 128
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=" "
width=" "
height=" "
allowtransparency="true"
frameborder="0">
</iframe>
- 2018
-
Mark
Estimating the Wigner Distribution of Linear Time-Invariant Dynamical Systems
2018) p.1220-1225(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Insights on Spectral Measures for HRV Based on a Novel Approach for Data Acquisition
2018) In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings 2018. p.510-513(
- Contribution to journal › Article
-
Mark
Objective detection and time-frequency localization of components within transient signals
(
- Contribution to journal › Article
-
Mark
Classification of EEG signals based on mean-square error optimal time-frequency features
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2017
-
Mark
Classification of one-dimensional non-stationary signals using the Wigner-Ville distribution in convolutional neural networks
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Classification of bird song syllables using wigner-ville ambiguity function cross-terms
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
The scaled reassigned spectrogram adapted for detection and localisation of transient signals
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Stochastic modelling and optimal spectral estimation of EEG signals
2017) Joint Conference of the European Medical and Biological Engineering Conference, EMBEC 2017 and Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2107 65. p.908-911(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Performance comparison of time-frequency distributions for estimation of instantaneous frequency of heart rate variability signals
(
- Contribution to journal › Article
-
Mark
Optimal time–frequency distributions using a novel signal adaptive method for automatic component detection
(
- Contribution to journal › Article