Dipl.-Ing. Susanne Sparrer

Research

Research Interests

  • Compressed Sensing
  • Signal Estimation and Processing
  • Channel Coding

Publications

S. Sparrer and R. Fischer
Bias Compensation in Iterative Soft-Feedback Algorithms with Application to (Discrete) Compressed Sensing
Accepted for IEEE Statistical Signal Processing Workshop 2018, Preprint available at arxiv.org/abs/1802.07105

C. Knill, B. Schweizer, S. Sparrer, F. Roos, R. Fischer and C. Waldschmidt
High Range and Doppler Resolution by Application of Compressed Sensing Using Low Baseband Bandwidth OFDM Radar
Accepted for IEEE Transactions on Microwave Theory and Techniques

S. Sparrer and R. Fischer
Unveiling Bias Compensation in Turbo-Based Algorithms for (Discrete) Compressed Sensing
Matheon Workshop 2017 -- Compressed Sensing and its Applications, Berlin, Germany, December 2017

S. Sparrer and R. Fischer
Unveiling Bias Compensation in Turbo-Based Algorithms for (Discrete) Compressed Sensing
2017 European Signal Processing Conference (EUSIPCO 2017), Kos, Greece, September 2017

R. Fischer and S. Sparrer
Low-Complexity Iterative Algorithms for (Discrete) Compressed Sensing
Preprint, arxiv.org/abs/1705.06879, May 2017

S. Sparrer and R. Fischer
Algorithms for the Iterative Estimation of Discrete-Valued Sparse Vectors
Proceedings of 11. International ITG Conference on Systems, Communications, and Coding (SCC), Hamburg, Germany, February 2017

S. Sparrer and R. Fischer
Enhanced Iterative Hard Thresholding for the Estimation of Discrete-Valued Sparse Signals
2016 European Signal Processing Conference (EUSIPCO 2016), September 2016

S. Sparrer and R. Fischer
An MMSE-Based Version of OMP for the Recovery of Discrete-Valued Sparse Signals
IET Electronics Letters, January 2016

S. Sparrer and R. Fischer
Enhanced OMP for the Recovery of Discrete-Valued Sparse Signals
Matheon Workshop 2015 -- Compressed Sensing and its Applications, Berlin, Germany, December 2015

S. Sparrer and R. Fischer
Soft-Feedback OMP for the Recovery of Discrete-Valued Sparse Signals
2015 European Signal Processing Conference (EUSIPCO 2015), Nice, France, September 2015

Susanne Sparrer,  Robert F.H. Fischer.
Mixed Generalized Gaussian Noise Channels: Capacity, Decoding, and Performance
Proceedings of the 10th International ITG Conference on Systems, Communication, and Coding (SCC 2015), Hamburg, Germany, February 2015

Susanne Sparrer,  Robert F.H. Fischer.
Adapting Compressed Sensing Algorithms to Discrete Sparse Signals
Proceedings of the 18th International ITG Workshop an Smart Antennas (WSA 2014), Erlangen, Germany, March 2014

S. Sparrer and R. Fischer
Discrete Compressed Sensing Algorithms
Matheon Workshop 2013 -- Compressed Sensing and its Applications, Berlin, Germany, December 2013

Susanne Sparrer,  Robert F.H. Fischer.
Discrete Sparse Signals: Compressed Sensing by Combining OMP and the Sphere Decoder
Preprint, arxiv.org/abs/1310.2456, October 2013

Susanne Sparrer, Andreas Schenk, Robert F.H. Fischer.
Communication over Impulsive Noise Channels: Channel Coding vs. Compressed Sensing
Proceedings of the 9th International ITG Conference on Systems, Communication, and Coding (SCC 2013), Munich, Germany, January 2013

Teaching

Compressed Sensing

  • Teaching assistance, WS 2012/2013

Digital Communications

  • Teaching assistance, SS 2016

Iterative Methods for Wireless Communications

  • Teaching assistance, WS 2015/2016
  • Teaching assistance, WS 2016/2017

Multiuser Communications and MIMO Systems

  • Teaching assistance, SS 2014
  • Teaching assistance, SS 2017

Signale und Systeme

  • Teaching assistance, WS 2012/2013
  • Teaching assistance, WS 2013/2014
  • Teaching assistance, WS 2014/2015
  • Teaching assistance, WS 2017/2018

Supervised Theses

Completed

  • Analyse allgemeiner Schätzmethoden für Compressed Sensing
  • Algorithmen für diskretes Compressed Sensing mit höherstufigen Alphabeten
  • Efficient Sphere Decoding
  • Vergleich von diskreten Rekonstruktionsalgorithmen für "Compressed Sensing"
  • Discrete Compressed Sensing Recovery Algorithms

Research Assistant