• Complex-Valued Nonlinear Adaptive Filters With Applications in α-Stable Environments 

      Talebi, Sayed Pouria; Werner, Stefan; Mandic, Danilo (Journal article; Peer reviewed, 2019)
      A nonlinear adaptive filtering framework for processing complex-valued signals is derived. The introduced adaptive filter extends the fractional-order framework of the authors for dealing with real-valued signals to the ...
    • Distributed adaptive filtering of alpha-stable signals 

      Talebi, Sayed Pouria; Werner, Stefan; Mandic, Danilo (Journal article; Peer reviewed, 2018)
      A cost-effective framework for distributed adaptive filtering of α-stable signals over sensor networks is proposed. First, the filtering paradigm of α-stable signals through multiple observations made over a network of ...
    • Distributed Kalman filtering and control through embedded average consensus information fusion 

      Talebi, Sayed Pouria; Werner, Stefan (Journal article; Peer reviewed, 2019)
      This paper presents a unified framework for distributed filtering and control of state-space processes. To this end, a distributed Kalman filtering algorithm is developed via decomposition of the optimal centralized Kalman ...
    • Distributed Kalman filtering in presence of unknown outer network actuations 

      Talebi, Sayed Pouria; Werner, Stefan (Journal article; Peer reviewed, 2019)
      This letter presents a fully distributed approach for tracking state vector sequences over sensor networks in presence of unknown actuations. The problem arises in large-scale systems where modeling the full dynamics becomes ...
    • Distributed Kalman filtering: Consensus, diffusion, and mixed 

      Talebi, Sayed Pouria; Werner, Stefan (Chapter, 2018)
      A distributed Kalman filtering technique is developed for tracking state-space processes via sensor networks. Considering the optimal solution to multi-agent sequential filtering of linear Gaussian state-space processes, ...
    • Fractional-order correntropy filters for tracking dynamic systems in alpha-stable environments 

      Gogineni, Vinay Chakravarthi; Talebi, Sayed Pouria; Werner, Stefan; Mandic, Danilo (Peer reviewed; Journal article, 2020)
      In an increasing number of modern filtering applications, the encountered signals consist of frequent sharp spikes, that cannot be accurately modeled using Gaussian random processes. Modeling the behavior of such signals ...
    • Kalman Filtering and Clustering in Sensor Networks 

      Talebi, Sayed Pouria; Werner, Stefan; Koivunen, Visa (Chapter, 2018)
      In this work, a distributed Kalman filtering and clustering framework for sensor networks tasked with tracking multiple state vector sequences is developed. This is achieved through recursively updating the likelihood of ...
    • Price-aware renewable energy management with transmission losses 

      Leithon, Johann; Werner, Stefan; Koivunen, Visa; Talebi, Sayed Pouria (Chapter, 2019)
      In this paper we propose a genie-aided strategy to optimize the use of renewable energy (RE) in a community of households with shared access to storage and RE generation facilities. The households are spread over a limited ...
    • Tracking dynamic systems in alpha-stable environments 

      Talebi, Sayed Pouria; Werner, Stefan; Mandic, Danilo (Chapter, 2019)
      In order to accommodate for modern adaptive filtering applications, the classic adaptive filtering paradigm is considered from a more general perspective. The new formulation allows for time dependent variations in the ...