Scientific Activities

Special Session - Signal and Information Processing with Coarsely Quantized Data

Rationale and Outline

Signal processing for emerging data-intense applications like Big data, the Internet of Things and wide-band massive MIMO communication requires methods tailored to hardware limitations concerning memory, transmission bandwidth, and sampling complexity. A promising approach, which has recently gained attention within the scientific community, is to switch from signal acquisition, storage, and processing with high amplitude resolution to system architectures featuring just a small number of bits. In contrast to the conventional high-resolution approach residing in the classical linear-Gaussian framework, coarsely quantized signals demand adjusted system modeling and nonlinear processing techniques.

To foster the dissemination of recent results and new applications, to catalyze discussion and collaboration among researchers, and to raise awareness and interest on this ongoing topic within the signal processing community, the special session Signal and Information Processing with Coarsely Quantized Data presents a selection of late-breaking contributions. Nine of the leading research teams cover fundamental aspects, propose new algorithmic methods, and discuss cutting-edge applications like compressed sensing, advanced array processing, low-cost radar, and modern system design for high-rate mobile communication.


IEEE Statistical Signal Processing Workshop (SSP)
10-13 June 2018, Freiburg, Germany


Manuel S. Stein
Chair for Stochastics, Universität Bayreuth, Germany

A. Lee Swindlehurst
Henry Samueli School of Engineering, University of California, Irvine, USA

List of Contributors

  1. Sliding Window Based Linear Signal Detection using 1-bit Quantization and Oversampling for Large-Scale Multiple-Antenna Systems
    Zhichao Shao, Lukas T. N. Landau, Rodrigo C. de Lamare (Pontifícia Universidade Católica do Rio de Janeiro, Brazil)

  2. Massive MIMO Channel Estimation Using Signed Measurements with Antenna-Varying Thresholds
    Fangqing Liu, Heng Zhu, Jian Li, Pu Wang, Philip Orlik (Mitsubishi Electric Research Laboratories, USA)

  3. Low Resolution Sampling for Joint Millimeter-Wave MIMO Communication-Radar
    Preeti Kumari, Khurram Usman, Amine Mezghani, Robert Heath (The University of Texas at Austin, USA)

  4. On the Timing Synchronization under 1-Bit Quantization and Oversampling
    Martin Schlüter, Meik Dörpinghaus, Gerhard P. Fettweis (Technische Universität Dresden, Germany)

  5. Taking the Edge off Quantization: Projected Back Projection in Dithered Compressive Sensing
    Chunlei Xu, Vincent Schellekens, Laurent Jacques (Université Catholique de Louvain, Belgium)

  6. One-Bit Sigma-Delta Modulation on a Closed Loop
    Sara Krause-Solberg, Olga Graf, Felix Krahmer (Technische Universität München, Germany)

  7. Quantized Constant Envelope Precoding for Frequency Selective Channels
    Hela Jedda, Josef A. Nossek (Federal University of Ceara, Brazil)

  8. All-Digital Massive MIMO with a Fronthaul Constraint
    Sven Jacobsson, Yasaman Ettefagh, Giuseppe Durisi, Christoph Studer (Cornell University, USA)

  9. In A One-Bit Rush: Low-Latency Wireless Spectrum Monitoring With Binary Sensor Arrays
    Manuel S. Stein, Michael Fauß (Technische Universität Darmstadt, Germany)

Session Chair

  • Nonlinear Systems and Signal Processing
    IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP) 2018, Calgary, Canada

IEEE Memberships (S’12-M’16)

  • IEEE Signal Processing Society

  • IEEE Information Theory Society

  • IEEE Instrumentation and Measurement Society

Reviewer Activities - IEEE Journals

  • IEEE Transactions on Instrumentation and Measurement

  • IEEE Transactions on Information Forensics & Security

  • IEEE Transactions on Wireless Communications

  • IEEE Transactions on Information Theory

  • IEEE Transactions on Signal Processing

  • IEEE Signal Processing Letters

  • IEEE Communications Letters