Stijn de Waele

According to our database, Stijn de Waele authored at least 25 papers between 1998 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Accurate Characterization of Non-Uniformly Sampled Time Series using Stochastic Differential Equations.

Stijn de Waele

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2018

Accurate Kernel Learning for Linear Gaussian Markov Processes using a Scalable Likelihood Computation.

Stijn de Waele

CoRR, 2018

2014

Estimation of the patient monitor alarm rate for a quantitative analysis of new alarm settings.

Stijn de Waele, Larry Nielsen, Joseph J. Frassica

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2011

Adaptive Beat-to-Beat Heart Rate Estimation in Ballistocardiograms.

Christoph Brüser, Kurt Stadlthanner, Stijn de Waele, Steffen Leonhardt

IEEE Trans. Inf. Technol. Biomed., 2011

2007

Coding Gain and Tuning for Parametrized Visual Quality Metrics.

Stijn de Waele, Michael J. Verberne

Proceedings of the International Conference on Image Processing, 2007

2005

Automatic identification of time-series models from long autoregressive models.

Piet M. T. Broersen, Stijn de Waele

IEEE Trans. Instrum. Meas., 2005

2004

Application of autoregressive spectral analysis to missing data problems.

Piet M. T. Broersen, Stijn de Waele, Robert Bos

IEEE Trans. Instrum. Meas., 2004

Finite sample properties of ARMA order selection.

Piet M. T. Broersen, Stijn de Waele

IEEE Trans. Instrum. Meas., 2004

Autoregressive spectral analysis when observations are missing.

Piet M. T. Broersen, Stijn de Waele, Robert Bos

Autom., 2004

2003

Order selection for vector autoregressive models.

Stijn de Waele, Piet M. T. Broersen

IEEE Trans. Signal Process., 2003

Generating data with prescribed power spectral density.

Piet M. T. Broersen, Stijn de Waele

IEEE Trans. Instrum. Meas., 2003

Time series analysis in a frequency subband.

Piet M. T. Broersen, Stijn de Waele

IEEE Trans. Instrum. Meas., 2003

2002

Finite sample effects in vector autoregressive modeling.

Stijn de Waele, Piet M. T. Broersen

IEEE Trans. Instrum. Meas., 2002

Autoregressive spectral estimation by application of the Burg algorithm to irregularly sampled data.

Robert Bos, Stijn de Waele, Piet M. T. Broersen

IEEE Trans. Instrum. Meas., 2002

2001

Efficient estimation of autocorrelation functions of random data with time series models.

Piet M. T. Broersen, Stijn de Waele

Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000

The Burg algorithm for segments.

Stijn de Waele, Piet M. T. Broersen

IEEE Trans. Signal Process., 2000

Error measures for resampled irregular data.

Stijn de Waele, Piet M. T. Broersen

IEEE Trans. Instrum. Meas., 2000

Detection of methacholine with time series models of lung sounds.

Piet M. T. Broersen, Stijn de Waele

IEEE Trans. Instrum. Meas., 2000

Modeling radar data with time series models.

Stijn de Waele, Piet M. T. Broersen

Proceedings of the 10th European Signal Processing Conference, 2000

Order selection for the multirate burg algorithm.

Stijn de Waele, Piet M. T. Broersen

Proceedings of the 10th European Signal Processing Conference, 2000

Some benefits of aliasing in time series analysis.

Piet M. T. Broersen, Stijn de Waele

Proceedings of the 10th European Signal Processing Conference, 2000

Spectral analysis of segmented data.

Stijn de Waele, Piet M. T. Broersen

Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Windowed periodograms and moving average models.

Piet M. T. Broersen, Stijn de Waele

Proceedings of the 39th IEEE Conference on Decision and Control, 2000

1999

Reliable LDA-spectra by resampling and ARMA-modeling.

Stijn de Waele, Piet M. T. Broersen

IEEE Trans. Instrum. Meas., 1999

1998

Accurate LDA-spectra by resampling and ARMA-modeling.

Stijn de Waele, Piet M. T. Broersen

Proceedings of the 9th European Signal Processing Conference, 1998