Markus Rupp

Markus Rupp received his Dipl.-Ing. degree in 1988 at the University of Saarbruecken, Germany, and his Dr.-Ing. degree in 1993 at the Technische Universitaet Darmstadt, Germany, where he worked with Eberhardt Haensler on designing new algorithms for acoustical and electrical echo compensation. From November 1993 until July 1995, he had a postdoctoral position at the University of Santa Barbara, California, with Sanjit Mitra, where he worked with Ali H. Sayed on a robustness description of adaptive filters with impacts on neural networks and active noise control. From October 1995 until August 2001, he has been a Member of the technical staff in the Wireless Technology Research Department of Bell Labs, where he has been working on various topics related to adaptive equalization and rapid implementation for IS-136, 802.11, and UMTS. He is presently a Full Professor for digital signal processing in mobile communications at the Technical University of Vienna. He served as an Associate Editor of IEEE Transactions on Signal Processing from 2002 to 2005, he is currently an Associate Editor of EURASIP Journal of Applied Signal Processing (JASP), and of EURASIP Journal on Embedded Systems (JES), and he is elected as AdCom Member of EURASIP. He authored and coauthored more than 200 papers and patents on adaptive filtering, wireless communications, and rapid prototyping as well as automatic design methods.

Biography Updated on 27 June 2007

Articles in Scholarly Journals [Incomplete List]

  1. RRES: A Novel Approach to the Partitioning Problem for a Typical Subset of System Graphs
    EURASIP Journal on Embedded Systems, vol. 2008, Article ID 259686, 13 pages, 2008
  2. Prototype Implementation of Two Efficient Low-Complexity Digital Predistortion Algorithms
    EURASIP Journal on Advances in Signal Processing, vol. 2008, Article ID 473182, 15 pages, 2008
  3. MIMO Transmission with Limited Feedback
    EURASIP Journal on Advances in Signal Processing, vol. 2008, Article ID 518950, 2 pages, 2008
  4. Experimental Evaluation of Adaptive Modulation and Coding in MIMO WiMAX with Limited Feedback
    EURASIP Journal on Advances in Signal Processing, vol. 2008, Article ID 837102, 12 pages, 2008
  5. Impact of transmit antenna spacing on 2×1 Alamouti radio transmission
    Electronics Letters, vol. 43, no. 4, p. 198, 2007
  6. Performance limitation of subband adaptive equalisers
    Electronics Letters, vol. 42, no. 17, p. 1009, 2006
  7. Traffic monitoring and analysis in 3G networks: lessons learned from the METAWIN project
    e & i Elektrotechnik und Informationstechnik, vol. 123, no. 7-8, pp. 288–296, 2006
  8. A Fully Automated Environment for Verification of Virtual Prototypes
    EURASIP Journal on Applied Signal Processing, vol. 2006, Article ID 32408, 12 pages, 2006
  9. Design Methods for DSP Systems
    EURASIP Journal on Applied Signal Processing, vol. 2006, Article ID 47817, 3 pages, 2006
  10. Vienna MIMO Testbed
    EURASIP Journal on Applied Signal Processing, vol. 2006, Article ID 54868, 13 pages, 2006
  11. Implementation Aspects and Testbeds for MIMO Systems
    EURASIP Journal on Applied Signal Processing, vol. 2006, Article ID 69217, 3 pages, 2006
  12. Efficient Design Methods for Embedded Communication Systems
    EURASIP Journal on Embedded Systems, vol. 2006, Article ID 64913, 18 pages, 2006
  13. Signal Processing with High Complexity: Prototyping and Industrial Design
    EURASIP Journal on Embedded Systems, vol. 2006, Article ID 90363, 2 pages, 2006
  14. A Consistent Design Methodology for Wireless Embedded Systems
    EURASIP Journal on Applied Signal Processing, vol. 2005, no. 16, pp. 2598–2612, 2005
  15. Influence of antenna configurations on performance of STBC in urban microcells
    Electronics Letters, vol. 41, no. 21, p. 1157, 2005
  16. Adaptive blind multiuser DS-CDMA downlink equaliser
    Electronics Letters, vol. 41, no. 21, p. 1184, 2005
  17. MIMO paradox of non-orthogonal space–time block codes
    Electronics Letters, vol. 41, no. 6, p. 343, 2005
  18. Generalized Alamouti Codes for Trading Quality of Service against Data Rate in MIMO UMTS
    EURASIP Journal on Applied Signal Processing, vol. 2004, no. 5, pp. 662–675, 2004
  19. Rapid prototyping for wireless designs: the five-ones approach
    Signal Processing, vol. 83, no. 7, pp. 1427–1444, 2003
  20. Prototype experience for MIMO BLAST over third-generation wireless system
    IEEE Journal on Selected Areas in Communications, vol. 21, no. 3, pp. 440–451, 2003
  21. Fast adaptation of fractionally spaced equalisers
    Electronics Letters, vol. 38, no. 2, p. 96, 2002
  22. Robustness conditions of the LMS algorithm with time-variant matrix step-size
    Signal Processing, vol. 80, no. 9, pp. 1787–1794, 2000
  23. On the convergence of blind adaptive equalizers for constant modulus signals
    IEEE Transactions on Communications, vol. 48, no. 5, pp. 795–803, 2000
  24. Robust FxLMS algorithms with improved convergence performance
    IEEE Transactions on Speech and Audio Processing, vol. 6, no. 1, pp. 78–85, 1998
  25. A family of adaptive filter algorithms with decorrelating properties
    IEEE Transactions on Signal Processing, vol. 46, no. 3, pp. 771–775, 1998
  26. Supervised learning of perceptron and output feedback dynamic networks: a feedback analysis via the small gain theorem
    IEEE Transactions on Neural Networks, vol. 8, no. 3, pp. 612–622, 1997
  27. Saving complexity of modified filtered-X-LMS and delayed update LMS algorithms
    IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, vol. 44, no. 1, pp. 57–60, 1997
  28. An l2-stable feedback structure for nonlinear adaptive filtering and identification
    Automatica, vol. 33, no. 1, pp. 13–30, 1997
  29. Robustness of Gauss—Newton recursive methods: A deterministic feedback analysis
    Signal Processing, vol. 50, no. 3, pp. 165–187, 1996
  30. Error-energy bounds for adaptive gradient algorithms
    IEEE Transactions on Signal Processing, vol. 44, no. 8, pp. 1982–1989, 1996
  31. A time-domain feedback analysis of filtered-error adaptive gradient algorithms
    IEEE Transactions on Signal Processing, vol. 44, no. 6, pp. 1428–1439, 1996
  32. Normalization and convergence of gradient-based algorithms for adaptive IIR filters
    Signal Processing, vol. 46, no. 1, pp. 15–30, 1995
  33. Bursting in the LMS algorithm
    IEEE Transactions on Signal Processing, vol. 43, no. 10, pp. 2414–2417, 1995
  34. Analysis of LMS and NLMS algorithms with delayed coefficient update under the presence of spherically invariant processes
    IEEE Transactions on Signal Processing, vol. 42, no. 3, pp. 668–672, 1994
  35. The behavior of LMS and NLMS algorithms in the presence of spherically invariant processes
    IEEE Transactions on Signal Processing, vol. 41, no. 3, pp. 1149–1160, 1993