• ANN based respiration detection using UWB radar 

      Blehr, Harald (Master thesis, 2017)
      Non-contact detection of human respiration has many possible uses, e.g. health monitoring for clinical institutions, homes or prisons, alarm systems, fire evacuation, industrial or home automation, and triggering of medical ...
    • 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 ...
    • Consensus-based Distributed Total Least-squares Estimation Using Parametric Semidefinite Programming 

      Gratton, Cristiano; Dasanadoddi Venkategowda, Naveen Kumar; Arablouei, Reza; Werner, Stefan (Chapter, 2019)
      We propose a new distributed algorithm to solve the total least-squares (TLS) problem when data are distributed over a multi-agent network. To develop the proposed algorithm, named distributed ADMM TLS (DA-TLS), we reformulate ...
    • 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 ...
    • Cooperative renewable energy management with distributed generation 

      Leithon, Johann; Werner, Stefan; Koivunen, Visa (Chapter, 2018)
      We propose an energy cost minimization strategy for cooperating households equipped with renewable energy generation and storage capabilities. The participating households minimize their collective energy expenditure by ...
    • Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering 

      Moradi, Ashkan; Dasanadoddi Venkategowda, Naveen Kumar; Werner, Stefan (Chapter; Peer reviewed, 2019)
      Abstract—This paper considers consensus-based distributed Kalman filtering subject to data-falsification attack, where Byzan- tine agents share manipulated data with their neighboring agents. The attack is assumed to be ...
    • Cost-Aware Dual Prediction Scheme for Reducing Transmissions at IoT Sensor Nodes 

      Håkansson, Victor Wattin; Dasanadoddi Venkategowda, Naveen Kumar; Kraemer, Frank Alexander; Werner, Stefan (Chapter, 2019)
      This paper develops a method for deciding when to update the prediction model or transmit a set of measurements from the sensor to the fusion centre (FC) to achieve minimal data transmission in a dual prediction scheme ...
    • Cost-aware renewable energy management: Centralized vs. distributed generation 

      Leithon, Johann; Werner, Stefan; Koivunen, Visa (Journal article; Peer reviewed, 2020)
      We propose optimization strategies for cooperating households equipped with renewable energy assets and storage devices. We consider two system configurations: In the first configuration, households share access to an ...
    • Decentralized PMU-Assisted Power System State Estimation With Reduced Interarea Communication 

      Kashyap, Neelabh; Werner, Stefan; Huang, Yih-Fang (Journal article; Peer reviewed, 2018)
      This paper presents a decentralized approach to multiarea power system state estimation using a combination of conventional measurement devices and newer phasor measurement units (PMU). We employ a reduced-order approach ...
    • 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, ...
    • Distributed Ridge Regression with Feature Partitioning 

      Gratton, Cristiano; Dasanadoddi Venkategowda, Naveen Kumar; Arablouei, Reza; Werner, Stefan (Chapter, 2019)
      We develop a new distributed algorithm to solve the ridge regression problem with feature partitioning of the observation matrix. The proposed algorithm, named D-Ridge, is based on the alternating direction method of ...
    • Extended Adjacency and Scale-Dependent Graph Fourier Transform via Diffusion Distances 

      Elias, Vitor; Martin, Wallace; Werner, Stefan (Peer reviewed; Journal article, 2020)
      This article proposes the augmentation of the adjacency model of networks for graph signal processing. It is assumed that no information about the network is available, apart from the initial adjacency matrix. In the ...
    • 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 ...
    • Improving accuracy of the Shewhart-based data-reduction in IoT nodes using piggybacking 

      Shastri, Anish; Jain, Vivek; Chaudhari, Sachin; Cohan, Shailesh Singh; Werner, Stefan (Chapter, 2019)
      This paper proposes the use of Shewhart test to reduce the number of data-transmissions in IoT networks. It is shown to outperform the widely-used least mean square (LMS) based data reduction method in terms of the number ...
    • 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 ...
    • Machine Learning-based Occupancy Estimation Using Multivariate Sensor Nodes 

      Singh, Adarsh Pal; Jain, Vivek; Chaudhari, Sachin; Kraemer, Frank Alexander; Werner, Stefan; Garg, Vishal (Chapter, 2019)
      In buildings, a large chunk of energy is spent on heating, ventilation and air conditioning systems. One way to optimize their usage is to make them demand-driven depending on human occupancy. This paper focuses on accurately ...
    • MMSE filter design for full-duplex filter-and-forward MIMO relays under limited dynamic range 

      Antonio-Rodrigues, Emilio; Werner, Stefan; Lopez-Valcarce, Roberto; Wichman, Risto (Journal article; Peer reviewed, 2019)
      We study the problem of optimizing the end-to-end performance of a full-duplex filter-and-forward MIMO relay link, consisting of a source, a relay, and a destination node, by employing linear filtering at each node. The ...