dr.ir. S. Gishkori

PhD student
Circuits and Systems (CAS), Department of Microelectronics

PhD thesis (Jun 2014): Compressive Sampling for Wireless Communications
Promotor: Geert Leus

Expertise: Signal processing for communication

Themes: Signal processing for communication

Biography

My general area of research is signal processing for communications. I have focused on the application of compressive sampling (compressed sensing) especially for ultra-wideband signals along with developing the relevant theoretical frameworks. I have also worked with different optimization algorithms as well as the tools for statistical learning. My work cuts across various fields of research, e.g., wireless sensor networks, mobile communications, cognitive radios, image processing, remote sensing, etc. I have also worked as a teaching assistant for the course on signal processing for communications.

Projects history

Signal Processing for Self-Organizing Wireless Networks

Mathematical foundations to develop large self-organizing networks based on cognitive radio devices that are capable of sensing the radio spectrum and adapt accordingly.

  1. Dynamic rainfall monitoring using microwave links
    V. Roy; S. Gishkori; G. Leus;
    EURASIP J. Adv. Signal Processing,
    pp. 1-17, 2016. DOI: 10.1186/s13634-016-0367-6
    document

  2. Compressive sampling-based multiple symbol differential detection for UWB communications
    S. Gishkori; V. Lottici; and G. Leus;
    IEEE Transactions on Wireless Communications,
    Volume 13, Issue 7, pp. 3778–3790, July 2014.
    document

  3. Compressed Sensing for Block-Sparse Smooth Signals
    S. Gishkori; G. Leus;
    In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2014),
    Florence (Italy), IEEE, May 2014.
    document

  4. Spatial Rainfall Mapping From Path-Averaged Rainfall Measurements Exploiting Sparsity
    V. Roy; S. Gishkori; G. Leus;
    In Proc. IEEE Global Conference on Signal and Information Processing,
    Atlanta (GA), IEEE, December 2014.

  5. Compressive Sampling for Wireless Communications
    S. Gishkori;
    PhD thesis, TU Delft, Fac. EEMCS, June 2014. ISBN 9789461863294.
    document

  6. Compressive Sampling Based Energy Detection of Ultra-Wideband Pulse Position Modulation
    S. Gishkori; G. Leus;
    IEEE Tr. Signal Processing,
    Volume 61, Issue 15, pp. 3866-3879, 2013.
    document

  7. Compressive sampling based differential detection for UWB impulse radio signals
    S. Gishkori; G. Leus; V. Lottici;
    Physical Communication,
    Volume 5, Issue 2, pp. 185-195, June 2012. ISSN 1874-4907. DOI: 10.1016/j.phycom.2011.09.005
    document

  8. MAP based differential detectors for compressed UWB impulse radio signals
    S. Gishkori; G. Leus; V. Lottici;
    In Proc. IEEE ICASSP,
    Kyoto (Japan), IEEE, pp. 3157-3160, May 2012.
    document

  9. Compressive sampling based multiple symbol differential detection for UWB IR signals
    S. Gishkori; G. Leus; V. Lottici;
    In 2012 IEEE Int. Conf. on Ultra-Wideband (ICUWB),
    IEEE, pp. 130-134, 2012.
    document

  10. Energy Detectors for Sparse Signals
    S. Gishkori; G. Leus; H. Delic;
    In Proc. Signal Processing Advances in Wireless Communications (SPAWC),
    Marrakech, IEEE, June 2010.
    document

  11. Energy Detection of (Ultra-)Wideband PPM
    S. Gishkori; G. Leus; H. Delic;
    In Proc. WIC Symposium on Information Theory in the Benelux (WIC SITB 2010),
    Rotterdam, The Netherlands, May 2010.
    document

  12. Compressive Sampling Based Differential Detection of Ultra Wideband Signals
    S. Gishkori; G. Leus; V. Lottici;
    In Proc. IEEE Int. Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2010),
    Istanbul, Turkey, September 2010.
    document

  13. Energy Detection of Wideband and Ultra-Wideband PPM
    S. Gishkori; G. Leus; H. Delic;
    In Proc. IEEE Global Communications Conference (GLOBECOM 2010),
    Miami, Florida, USA, December 2010.
    document

BibTeX support

Last updated: 26 Dec 2018

Shahzad Gishkori

Alumnus