Department of Microelectronics
Faculty of Electrical Engineering, Mathematics, and Computer Science

dr. S. Khademi

Postdoc
Signal Processing Systems (SPS), Department of Microelectronics

PhD thesis (Nov 2016): Gigabit wireless transmission in dispersive environments
Promotor: Alle-Jan van der Veen, Gerard Janssen

Expertise: Wireless communications, Array processing, Statistical Signal Processing, Audio and Speech Processing, Optimization techniques

Themes: XG - Next Generation Sensing and Communication

Biography

Seyran Khademi was born in Kermanshah city located in the western part of Iran. She received her BSc. degree in Electrical Engineering with communications minor, in 2005 from University of Tabriz with dissertation in the field of satellite communications. She got her MSc degree in Communication Engineering from Chalmers University of Technology in Gothenburg, Sweden in 2010. She did her MSc thesis titled as PAPR reduction in OFDM WiMAX systems under the supervision of Prof. Mats Viberg, Prof. Thomas Eriksson and Dr. Thomas Svantesson (ArrayComm). She recived her PhD at Circuits and Systems (CAS) group at Delft University of Technology (TUD), The Netherlands in November 2016 with thesis titled as GIGABIT WIRELESS TRANSMISSION IN DISPERSIVE ENVIRONMENTS. She was appointed as a postdoctoral researcher in CAS group at TUD, from February 2015 to February 2017 working on audio and speech processing.

Projects history

Reliable and fast wireless communication for lithography machines

Connecting a sensor network on a moving platform to a control unit; this requires high-speed links with low latency, and accurate wireless clock synchronization.

Intelligibility enhancement for speech communication systems

Can we do "precoding" of speech signals to enhance their intelligibility at the receiver, taking channel distortions and environmental noise into account?

Wireless communication

Constant Modulus Algorithm for Peak-to-Average Power Ratio (PAPR) Reduction in MIMO OFDM/A

Matlab code implementing an efficient and effective PAPR reduction method using the well-known CMA

Software, Apr 2012

Speech intelligibility enhancement

Joint near-end and far-end intelligibility enhancement

Software, Jan 2017

  1. Intelligibility Enhancement Based on Mutual Information
    S. Khademi; R.C. Hendriks; W.B. Kleijn;
    IEEE/ACM Trans. Audio, Speech, Language Process.,
    Volume 25, Issue 8, pp. 1694-1708, August 2017. ISSN 2329-9290. DOI: 10.1109/TASLP.2017.2714424
    document • software

  2. Gradient-based solution for hybrid precoding in MIMO systems
    N. Bakhshi Zanjani; S. Khademi; G. Leus;
    In Int. Conf. Audio Speech Signal Proc. (ICASSP),
    New Orleans (USA), IEEE, pp. 3489-3493, March 2017. DOI: 10.1109/ICASSP.2017.7952805
    document

  3. Jointly optimal near-end and far-end multi-microphone speech intelligibility enhancement based on mutual information
    S. Khademi; R. C. Hendriks; W. B. Kleijn;
    In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
    Shanghai, China, March 2016.
    document • software

  4. Gigabit wireless transmission in dispersive environments
    S. Khademi;
    PhD thesis, TU Delft, Fac. EEMCS, November 2016. ISBN 978-94-6186-744-5.
    document

  5. Channel Measurements and Modeling for a 60 GHz Wireless Link Within a Metal Cabinet
    S. Khademi; S.P. Chepuri; Z. Irahhauten; G.J. Janssen; A.J. van der Veen;
    IEEE Tr. Wireless Comm.,
    Volume 14, Issue 9, pp. 5098-5110, 2015. DOI: 10.1109/TWC.2015.2432755
    document

  6. Constant Modulus Algorithm for Peak-to-Average Power Ratio (PAPR) Reduction in MIMO OFDM/A
    S. Khademi; A.J. van der Veen;
    In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2014) (reprint of IEEE SPL May 2013),
    Florence (Italy), IEEE, May 2014.
    document

  7. Channel characterization for wideband 60 GHz wireless link within a metal enclosure
    S. Khademi; S.P. Chepuri; Z. Irahhauten; G.J.M. Janssen; A.J. van der Veen;
    In 2014 8th European Conf. on Antennas and Propagagion (EuCAP),
    The Hague (Netherlands), IEEE, pp. 1575-1579, April 2014. DOI: 10.1109/EuCAP.2014.6902085
    document

  8. Convex Optimization for Joint Zero-forcing and Antenna Selection in Multiuser MISO Systems
    S. Khademi; E. DeCorte; G. Leus; A.J. van der Veen;
    In IEEE SPAWC 2014,
    Toronto (Canada), IEEE, June 2014.
    document

  9. Constant Modulus Algorithm for Peak-to-Average Power Ratio (PAPR) Reduction in MIMO OFDM/A
    S. Khademi; A.J. van der Veen;
    IEEE Signal Processing Letters,
    Volume 20, Issue 5, pp. 531-534, May 2013.
    document • software
    Matlab implementation: http://www.mathworks.com/matlabcentral/fileexchange/44528-constant-modulus-algorithm-for-peak-to-average-power-ratio-papr-reduction-in-mimo-ofdma

  10. Zero-forcing pre-equalization with transmit antenna selection in MIMO systems
    S. Khademi; S.P. Chepuri; G. Leus; A.J. van der Veen;
    In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2013),
    Vancouver (Canada), IEEE, May 2013.
    document

  11. Precoding technique for peak-to-average-power-ratio (PAPR) reduction in MIMO OFDM/A systems
    S. Khademi; A.J. van der Veen; T. Svantesson;
    In Proc. IEEE ICASSP,
    Kyoto (Japan), IEEE, pp. 3005-3008, May 2012.
    document

  12. Peak-to-Average-Power-Ratio (PAPR) reduction in WiMAX and OFDM/A systems
    S. Khademi; T. Svantesson; M. Viberg; T. Eriksson;
    EURASIP Journal on Advances in Signal Processing,
    Volume 2011, Issue 1, pp. 38, 2011. DOI: 10.1186/1687-6180-2011-38
    document

  13. Precoding Technique for Peak-to-Average-Power-Ratio (PAPR) Reduction in WiMAX and OFDM/A Systems
    S. Khademi; T. Svantesson; M. Viberg; T. Eriksson;
    In Proc. Joint WIC/IEEE SP Symposium on Information Theory and Signal Processing in the Benelux,
    Brussels, Belgium, IEEE, May 2011.
    document

BibTeX support

Last updated: 26 Dec 2018

Seyran Khademi

Alumnus
  • Left in 2015
  • Now: postdoc, TU Delft