dr.ir. G.R. Kail

Postdoc
Circuits and Systems (CAS), Department of Microelectronics

Expertise: Statistical signal processing, with applications to signal processing to communication and biomedical signal processing

Themes: Signal processing for communication

Biography

List of publications

Georg is a postdoc with Geert Leus, funded by an Erwin Schrödinger Fellowship from FWF Austria. The topic of his research is "Distributed Dynamic Self-Localization in Self-Organizing Wireless Networks"; the goal is to design fully distributed (decentralized, collaborative) information processing algorithms for localization and tracking of the network nodes, i.e., for dynamic self-localization.

Georg received the PhD degree in January 2012. He was a PhD student with Prof. Franz Hlawatsch (TU Vienna, Austria) on the topic of Bayesian detection and estimation with structural constraints. Herein, he considered detection/estimation of sparse sequences under a minimum distance constraint that enforces a prescribed minimum distance between successive nonzero elements of the sequence. Applications include layer detection in optical coherence tomography, medical imaging, seismology, and multipath parameter estimation. Other work includes blind deconvolution, UWB multipath parameter estimation, and ECG delineation.

Prior to coming to Delft, Georg was a postdoctoral researcher at TU Vienna and EPFL (Lausanne), and had several short visits to Graz University of Technology (Austria), University of Toulouse (France), and ETH Zürich (Switzerland).

Publications

  1. Robust Censoring Using Metropolis-Hastings Sampling
    G. Kail; S.P. Chepuri; G. Leus;
    IEEE Journal of Selected Topics in Signal Processing,
    Volume 10, Issue 2, pp. 270-283, March 2016. DOI: 10.1109/JSTSP.2015.2506142
    document

  2. SMLR-Type Blind Deconvolution of Sparse Pulse Sequences Under a Minimum Temporal Distance Constraint
    G. Kail; F. Hlawatsch; C. Novak;
    IEEE Trans. Signal Process.,
    Volume 63, Issue 18, pp. 4838--4853, September 2015.
    document

  3. Compressive Modeling of Stationary Autoregressive Processes
    G. Kail; G. Leus;
    In Proc. Information Theory and Applications Workshop (ITA), 2015,
    San Diego, CA, USA, pp. 108--114, February 2015.
    document

  4. Robust censoring for linear inverse problems
    G. Kail; S.P. Chepuri; G. Leus;
    In IEEE Sign. Proc. Adv. Wireless Comm. (SPAWC),
    Stockholm (Sweden), IEEE, pp. 495-499, June 2015.
    document

BibTeX support

Last updated: 3 Nov 2015

Georg Kail

Alumnus
  • Left in 2015
  • Now: Postdoc, TU Vienna, Austria