• Constrained Phase Noise Estimation in OFDM Using Scattered Pilots Without Decision Feedback 

      Mathecken, Pramod; Riihonen, Taneli; Werner, Stefan; Wichman, Risto (Journal article; Peer reviewed, 2017)
      In this paper, we consider an OFDM radio link corrupted by oscillator phase noise in the receiver, namely the problem of estimating and compensating for the impairment. To lessen the computational burden and delay incurred ...
    • Kernel Regression over Graphs using Random Fourier Features 

      Meireles Elias, Vitor Rosa; Gogineni, Vinay Chakravarthi; Martins, Wallace; Werner, Stefan (Peer reviewed; Journal article, 2022)
      This paper proposes efficient batch-based and online strategies for kernel regression over graphs (KRG). The proposed algorithms do not require the input signal to be a graph signal, whereas the target signal is defined ...
    • Nonlinear adaptive filtering with kernel set-membership approach 

      Chen, Kewei; Werner, Stefan; Huang, Yih-Fang; Kuh, Anthony (Peer reviewed; Journal article, 2020)
      This paper develops nonlinear kernel adaptive filtering algorithms based on the set-membership filtering (SMF) framework. The set-membership-based filtering approach is distinct from the conventional adaptive filtering ...
    • Privacy-preserving distributed Kalman filtering 

      Moradi, Ashkan; Dasanadoddi Venkategowda, Naveen Kumar; Talebi, Sayedpouria; Werner, Stefan (Journal article; Peer reviewed, 2022)
    • Recovery of Independent Sparse Sources From Linear Mixtures Using Sparse Bayesian Learning 

      Fouladi, Seyyed Hamed; Chiu, Sung-En; Rao, Bhaskar; Balasingham, Ilangko (Journal article; Peer reviewed, 2018)
      Classical algorithms for the multiple measurement vector (MMV) problem assume either independent columns for the solution matrix or certain models of correlation among the columns. The correlation structure in the previous ...