Mathematics and Signal Processing in Acoustics

Email: srajbamshi [at]

Academic Background

Shristi Rajbamshi studied Communications and Multimedia Engineering at the University of Erlangen-Nürnberg in Erlangen, Germany. She graduated with the Master's thesis entitled "Binaural Dereveberation for Hearing Aids", in which she developed a system that used binaural cues to suppress reverberation for hearing aid users.

Current research

Since December 2017, she has been employed at Acoustic Research Institute as a doctoral student in the workgroup "Mathematics and Signal Processing in Acoustics", where she works on the FLAME project (Frames and Linear Operator for Acoustical Modeling and Parameter Estimation). She is working on frame multipliers, e.g., best approximation by gabor multipliers, etc.



  • Rajbamshi, S.; Tauboeck, G.; Balazs, P.; Abreu, L. D. (2020) Method for Signal Processing.
  • Tauböck, G.; Rajbamshi, S.; Balazs, P.; Abreu, D. (2019) Random Gabor Multipliers and Compressive Sensing., Proceedings of SampTA 2019 (13th International conference on Sampling Theory and Applications).
  • Rajbamshi, S.; Balazs, P.; Holighaus, N. (2019) Adhoc method to Invert the Reassigned Time-Frequency Representation., Proceedings of the 23rd International Congress on Acoustics, S. 2789 - 2796.
  • Rajbamshi, S., Tauböck, G., Balazs, P., Abreu, L. D. (2019) Random Gabor Multipliers for Compressive Sensing: A Simulation Study., Proceedings of the EUSIPCO 2019.
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