Publicaties

• 2024

  Adaptive Differentially Quantized Subspace Perturbation (ADQSP)

  A Unified Framework for Privacy-Preserving Distributed Average Consensus
  Qiongxiu Li / Jaron Skovsted Gundersen / Milan Lopuhaa-Zwakenberg / Richard Heusdens

• 2024

  Distributed Optimisation with Linear Equality and Inequality Constraints using PDMM

  Richard Heusdens / Guoqiang Zhang

• 2023

  Array Design Based on the Worst-Case Cramér-Rao Bound to Account for Multiple Targets

  Costas A. Kokke / Mario Coutino / Richard Heusdens / Geert Leus

• 2023

  Channel Parameter Estimation Using a Wideband LFM Preamble: Comparison of the Fractional Fourier Transform and Matched Filtering

  Ids van der Werf / Richard C. Hendriks / Richard Heusdens

• 2023

  Convergence of Stochastic PDMM

  Sebastian O. Jordan / Thomas W. Sherson / Richard Heusdens

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