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ORCIDStefan Werner 0001
Person information
- affiliation: Norwegian University of Science and Technology, Trondheim, Norway
Other persons with the same name
- Stefan Werner — disambiguation page
- Stefan Werner 0002 — University of Lübeck, Germany
- Stefan Werner 0003 — University of Eastern Finland
- Stefan Werner 0004 — University Duisburg-Essen, Germany
- Stefan Werner 0005 — Bundeswehr University Munich, Germany
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2020 – today
- 2024
[j83]Muhammad Asaad Cheema
, Vinay Chakravarthi Gogineni, Pierluigi Salvo Rossi, Stefan Werner:
Networked Federated Meta-Learning Over Extending Graphs. IEEE Internet Things J. 11(23): 37988-37999 (2024)- [j82]Vinay Chakravarthi Gogineni, Katinka Müller, Milica Orlandic, Stefan Werner:
Lightweight Autonomous Autoencoders for Timely Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [c128]Ehsan Lari, Reza Arablouei, Stefan Werner:
Privacy-Preserving Distributed Nonnegative Matrix Factorization. EUSIPCO 2024: 1022-1026 - [c127]Ehsan Lari, Reza Arablouei, Naveen K. D. Venkategowda, Stefan Werner:
Distributed Maximum Consensus Over Noisy Links. EUSIPCO 2024: 2247-2251 - [c126]Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner:
On The Resilience Of Online Federated Learning To Model Poisoning Attacks Through Partial Sharing. ICASSP 2024: 9201-9205 - [i18]Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner:
Analyzing the Impact of Partial Sharing on the Resilience of Online Federated Learning Against Model Poisoning Attacks. CoRR abs/2403.13108 (2024) - [i17]Ehsan Lari, Reza Arablouei, Stefan Werner:
Privacy-Preserving Distributed Nonnegative Matrix Factorization. CoRR abs/2403.18326 (2024) - [i16]Ehsan Lari, Reza Arablouei, Naveen K. D. Venkategowda, Stefan Werner:
Distributed Maximum Consensus over Noisy Links. CoRR abs/2403.18509 (2024) - [i15]Reza Mirzaeifard, Diyako Ghaderyan, Stefan Werner:
Decentralized Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties. CoRR abs/2408.01307 (2024) - [i14]Reza Mirzaeifard, Diyako Ghaderyan, Stefan Werner:
Federated Smoothing Proximal Gradient for Quantile Regression with Non-Convex Penalties. CoRR abs/2408.05640 (2024) - [i13]Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, Stefan Werner:
Noise-Robust and Resource-Efficient ADMM-based Federated Learning. CoRR abs/2409.13451 (2024) - 2023
- [j81]Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Communication-Efficient Online Federated Learning Strategies for Kernel Regression. IEEE Internet Things J. 10(5): 4531-4544 (2023) - [j80]François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Asynchronous Online Federated Learning With Reduced Communication Requirements. IEEE Internet Things J. 10(23): 20761-20775 (2023) - [j79]Vinay Chakravarthi Gogineni, Ramesh Sambangi, Daney Alex, Subrahmanyam Mula, Stefan Werner:
Algorithm and Architecture Design of Random Fourier Features-Based Kernel Adaptive Filters. IEEE Trans. Circuits Syst. I Regul. Pap. 70(2): 833-845 (2023) - [j78]Vinay Chakravarthi Gogineni, Ashkan Moradi, Naveen K. D. Venkategowda, Stefan Werner:
Communication-Efficient and Privacy-Aware Distributed Learning. IEEE Trans. Signal Inf. Process. over Networks 9: 705-720 (2023) - [j77]François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Personalized Graph Federated Learning With Differential Privacy. IEEE Trans. Signal Inf. Process. over Networks 9: 736-749 (2023) - [c125]Reza Mirzaeifard, Naveen K. D. Venkategowda, Alexander Jung, Stefan Werner:
Moreau Envelope ADMM for Decentralized Weakly Convex Optimization. APSIPA ASC 2023: 1126-1130 - [c124]Reza Mirzaeifard, Naveen K. D. Venkategowda, Stefan Werner:
Robust Networked Federated Learning for Localization. APSIPA ASC 2023: 1193-1198 - [c123]Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner:
Continual Local Updates for Federated Learning with Enhanced Robustness to Link Noise. APSIPA ASC 2023: 1199-1203 - [c122]Katinka Müller, Vinay Chakravarthi Gogineni, Milica Orlandic, Stefan Werner:
Autoencoder-based Hyperspectral Anomaly Detection using Kernel Principal Component Pre-Processing. EUSIPCO 2023: 566-570 - [c121]François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner:
Networked Personalized Federated Learning Using Reinforcement Learning. ICC 2023: 4397-4402 - [c120]Reza Mirzaeifard, Vinay Chakravarthi Gogineni, Naveen K. D. Venkategowda, Stefan Werner:
Distributed Quantile Regression with Non-Convex Sparse Penalties. SSP 2023: 250-254 - [c119]Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner:
Resource-Efficient Federated Learning Robust to Communication Errors. SSP 2023: 265-269 - [i12]François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Asynchronous Online Federated Learning with Reduced Communication Requirements. CoRR abs/2303.15226 (2023) - [i11]François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Personalized Graph Federated Learning with Differential Privacy. CoRR abs/2306.06399 (2023) - [i10]Reza Mirzaeifard, Naveen K. D. Venkategowda, Stefan Werner:
Robust Networked Federated Learning for Localization. CoRR abs/2308.16737 (2023) - [i9]Reza Mirzaeifard, Naveen K. D. Venkategowda, Alexander Jung, Stefan Werner:
Moreau Envelope ADMM for Decentralized Weakly Convex Optimization. CoRR abs/2308.16752 (2023) - [i8]Reza Mirzaeifard, Naveen K. D. Venkategowda, Vinay Chakravarthi Gogineni, Stefan Werner:
Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties. CoRR abs/2309.03094 (2023) - 2022
- [j76]Victor Wattin Håkansson, Naveen K. D. Venkategowda, Stefan Werner, Pramod K. Varshney:
Optimal Scheduling of Multiple Spatiotemporally Dependent Observations for Remote Estimation Using Age of Information. IEEE Internet Things J. 9(20): 20308-20321 (2022) - [j75]Vinay Chakravarthi Gogineni, Stefan Werner, François Gauthier, Yih-Fang Huang, Anthony Kuh:
Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions. IEEE Internet Things Mag. 5(4): 78-84 (2022) - [j74]Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner:
Privacy-Preserved Distributed Learning With Zeroth-Order Optimization. IEEE Trans. Inf. Forensics Secur. 17: 265-279 (2022) - [j73]Vitor Rosa Meireles Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, Stefan Werner:
Kernel Regression Over Graphs Using Random Fourier Features. IEEE Trans. Signal Process. 70: 936-949 (2022) - [j72]Ashkan Moradi, Naveen K. D. Venkategowda, Sayed Pouria Talebi, Stefan Werner:
Privacy-Preserving Distributed Kalman Filtering. IEEE Trans. Signal Process. 70: 3074-3089 (2022) - [j71]Daney Alex, Vinay Chakravarthi Gogineni, Subrahmanyam Mula, Stefan Werner:
Novel VLSI Architecture for Fractional-Order Correntropy Adaptive Filtering Algorithm. IEEE Trans. Very Large Scale Integr. Syst. 30(7): 893-904 (2022) - [c118]François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Clustered Graph Federated Personalized Learning. IEEECONF 2022: 744-748 - [c117]Reza Mirzaeifard, Naveen K. D. Venkategowda, Stefan Werner:
Robust Phase Retrieval with Non-Convex Penalties. IEEECONF 2022: 1291-1295 - [c116]Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Decentralized Graph Federated Multitask Learning for Streaming Data. CISS 2022: 101-106 - [c115]Sayed Pouria Talebi, Stefan Werner, Yih-Fang Huang, Vijay Gupta:
Distributed Algebraic Riccati Equations in Multi-Agent Systems. ECC 2022: 1810-1817 - [c114]Reza Mirzaeifard, Vinay Chakravarthi Gogineni, Naveen K. D. Venkategowda, Stefan Werner:
Dynamic Graph Topology Learning with Non-Convex Penalties. EUSIPCO 2022: 682-686 - [c113]Reza Mirzaeifard, Naveen K. D. Venkategowda, Vinay Chakravarthi Gogineni, Stefan Werner:
ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties. EUSIPCO 2022: 2046-2050 - [c112]Vinay Chakravarthi Gogineni, Ashkan Moradi, Naveen K. D. Venkategowda, Stefan Werner:
Communication-Efficient and Privacy-Aware Distributed LMS Algorithm. FUSION 2022: 1-6 - [c111]Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression. ICASSP 2022: 5228-5232 - [c110]François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression. ICC 2022: 2828-2833 - [c109]Sayed Pouria Talebi, Hossein Darvishi, Stefan Werner, Pierluigi Salvo Rossi:
Gradient-Descent Adaptive Filtering Using Gradient Adaptive Step-Size. SAM 2022: 321-325 - [c108]Sayed Pouria Talebi, Stefan Werner, Yili Xia, Clive Cheong Took, Danilo P. Mandic:
A Joint Particle Filter for Quaternion-Valued $\alpha$-Stable Signals via the Characteristic Function. SAM 2022: 390-394 - [c107]Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic:
Fractional-Order Learning Systems. IJCNN 2022: 1-6 - 2021
- [j70]Sayed Pouria Talebi, Stefan Werner, Vijay Gupta, Yih-Fang Huang:
On Stability and Convergence of Distributed Filters. IEEE Signal Process. Lett. 28: 494-498 (2021) - [j69]Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner:
Performance of Clustered Multitask Diffusion LMS Suffering From Inter-Node Communication Delays. IEEE Trans. Circuits Syst. II Express Briefs 68(7): 2695-2699 (2021) - [j68]Vitor Rosa Meireles Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, Stefan Werner:
Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis. IEEE Trans. Signal Inf. Process. over Networks 7: 62-74 (2021) - [c106]Victor Wattin Håkansson, Naveen K. D. Venkategowda, Stefan Werner:
Optimal Transmission Threshold and Channel Allocation Strategies for Heterogeneous Sensor Data. ACSCC 2021: 757-761 - [c105]Ashkan Moradi, Naveen K. D. Venkategowda, Sayed Pouria Talebi, Stefan Werner:
Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries. ACSCC 2021: 790-794 - [c104]Vinay Chakravarthi Gogineni, Severin R. E. Langberg, Valeriya Naumova, Jan F. Nygård, Mari Nygård, Markus Grasmair, Stefan Werner:
Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction. ACSCC 2021: 1541-1545 - [c103]Vinay Chakravarthi Gogineni, Valeriya Naumova, Stefan Werner, Yih-Fang Huang:
Graph Kernel Recursive Least-Squares Algorithms. APSIPA ASC 2021: 2072-2076 - [c102]Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner:
Distributed Learning over Networks with Non-Smooth Regularizers and Feature Partitioning. EUSIPCO 2021: 1840-1844 - [c101]Ashkan Moradi, Naveen K. D. Venkategowda, Sayed Pouria Talebi, Stefan Werner:
Securing the D istributed Kalman Filter Against Curious Agents. FUSION 2021: 1-7 - [c100]Vitor Rosa Meireles Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, Stefan Werner:
Kernel Regression on Graphs in Random Fourier Features Space. ICASSP 2021: 5235-5239 - [c99]Johann Leithon, Stefan Werner, Visa Koivunen:
Optimization Strategy for Energy Allocation through Cooperative Storage Management. SmartGridComm 2021: 71-76 - [c98]Vinay Chakravarthi Gogineni, Severin R. E. Langberg, Valeriya Naumova, Jan F. Nygård, Mari Nygård, Markus Grasmair, Stefan Werner:
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective. SSP 2021: 46-50 - [c97]Bettina D. Barros, Naveen K. D. Venkategowda, Stefan Werner:
Quickest Detection of Stochastic False Data Injection Attacks with Unknown Parameters. SSP 2021: 426-430 - [i7]Sayed Pouria Talebi, Stefan Werner, Vijay Gupta, Yih-Fang Huang:
On Stability and Convergence of Distributed Filters. CoRR abs/2102.11250 (2021) - [i6]Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression. CoRR abs/2110.06556 (2021) - [i5]François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression. CoRR abs/2111.13931 (2021) - 2020
- [j67]Naveen K. D. Venkategowda, Stefan Werner:
Privacy-Preserving Distributed Maximum Consensus. IEEE Signal Process. Lett. 27: 1839-1843 (2020) - [j66]Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic:
Fractional-Order Correntropy Adaptive Filters for Distributed Processing of $\alpha$-Stable Signals. IEEE Signal Process. Lett. 27: 1884-1888 (2020) - [j65]Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic:
Quaternion-Valued Distributed Filtering and Control. IEEE Trans. Autom. Control. 65(10): 4246-4257 (2020) - [j64]Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic:
Fractional-Order Correntropy Filters for Tracking Dynamic Systems in α-Stable Environments. IEEE Trans. Circuits Syst. 67-II(12): 3557-3561 (2020) - [j63]Vitor Rosa Meireles Elias, Wallace A. Martins, Stefan Werner:
Extended Adjacency and Scale-Dependent Graph Fourier Transform via Diffusion Distances. IEEE Trans. Signal Inf. Process. over Networks 6: 592-604 (2020) - [j62]Kewei Chen, Stefan Werner, Anthony Kuh, Yih-Fang Huang:
Nonlinear Adaptive Filtering With Kernel Set-Membership Approach. IEEE Trans. Signal Process. 68: 1515-1528 (2020) - [c96]François Gauthier, Cristiano Gratton, Naveen K. D. Venkategowda, Stefan Werner:
Privacy-Preserving Distributed Learning with Nonsmooth Objective Functions. ACSSC 2020: 42-46 - [c95]Victor Wattin Håkansson, Naveen K. D. Venkategowda, Stefan Werner:
Optimal Scheduling of Multiple Spatio-temporally Dependent Observations using Age-of-Information. ACSSC 2020: 1188-1192 - [c94]Vinay Chakravarthi Gogineni, Vitor Rosa Meireles Elias, Wallace A. Martins, Stefan Werner:
Graph Diffusion Kernel LMS using Random Fourier Features. ACSSC 2020: 1528-1532 - [c93]Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner:
Distributed Learning with Non-Smooth Objective Functions. EUSIPCO 2020: 2180-2184 - [c92]Victor Wattin Håkansson, Naveen K. D. Venkategowda, Stefan Werner:
Optimal Scheduling Policy for Spatio-temporally Dependent Observations using Age-of-Information. FUSION 2020: 1-6
2010 – 2019
- 2019
- [j61]Sayed Pouria Talebi, Stefan Werner:
Distributed Kalman Filtering in Presence of Unknown Outer Network Actuations. IEEE Control. Syst. Lett. 3(1): 186-191 (2019) - [j60]Johann Leithon, Stefan Werner, Visa Koivunen:
Storage Management in a Shared Solar Environment With Time-Varying Electricity Prices. IEEE Internet Things J. 6(5): 7420-7436 (2019) - [j59]Emilio Antonio-Rodriguez, Stefan Werner, Roberto López-Valcarce, Risto Wichman:
MMSE Filter Design for Full-duplex Filter-and-forward MIMO Relays under Limited Dynamic Range. Signal Process. 156: 208-219 (2019) - [j58]Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic:
Complex-Valued Nonlinear Adaptive Filters With Applications in $\alpha$-Stable Environments. IEEE Signal Process. Lett. 26(9): 1315-1319 (2019) - [j57]Sayed Pouria Talebi, Stefan Werner:
Distributed Kalman Filtering and Control Through Embedded Average Consensus Information Fusion. IEEE Trans. Autom. Control. 64(10): 4396-4403 (2019) - [c91]Ashkan Moradi, Naveen K. D. Venkategowda, Stefan Werner:
Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering. CAMSAP 2019: 495-499 - [c90]Victor Wattin Håkansson, Naveen K. D. Venkategowda, Frank Alexander Kraemer, Stefan Werner:
Cost-Aware Dual Prediction Scheme for Reducing Transmissions at IoT Sensor Nodes. EUSIPCO 2019: 1-5 - [c89]Sayed Pouria Talebi, Stefan Werner, Shengxi Li, Danilo P. Mandic:
Tracking Dynamic Systems in α-Stable Environments. ICASSP 2019: 4853-4857 - [c88]Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner:
Consensus-based Distributed Total Least-squares Estimation Using Parametric Semidefinite Programming. ICASSP 2019: 5227-5231 - [c87]Johann Leithon, Stefan Werner, Visa Koivunen, Sayed Pouria Talebi:
Price-aware Renewable Energy Management with Transmission Losses. ICASSP 2019: 8087-8091 - [c86]Anish Shastri, Vivek Jain, Sachin Chaudhari, Shailesh Singh Chouhan, Stefan Werner:
Improving Accuracy of the Shewhart-based Data-Reduction in IoT Nodes using Piggybacking. WF-IoT 2019: 943-948 - 2018
- [j56]Neelabh Kashyap, Stefan Werner, Yih-Fang Huang:
Decentralized PMU-Assisted Power System State Estimation With Reduced Interarea Communication. IEEE J. Sel. Top. Signal Process. 12(4): 607-616 (2018) - [j55]Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic:
Distributed Adaptive Filtering of α-Stable Signals. IEEE Signal Process. Lett. 25(10): 1450-1454 (2018) - [c85]Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner:
Distributed Ridge Regression with Feature Partitioning. ACSSC 2018: 1423-1427 - [c84]Kewei Chen, Stefan Werner, Anthony Kuh, Yih-Fang Huang:
Nonlinear Online Learning - A Kernel SMF Approach. APSIPA 2018: 218-223 - [c83]Sayed Pouria Talebi, Stefan Werner:
Distributed Kalman Filtering: Consensus, Diffusion, and Mixed. CCTA 2018: 1126-1132 - [c82]Johann Leithon, Stefan Werner, Visa Koivunen:
Renewable Energy Optimization with Centralized and Distributed Generation. EUSIPCO 2018: 181-185 - [c81]Johann Leithon, Stefan Werner, Visa Koivunen:
Cooperative Renewable Energy Management with Distributed Generation. EUSIPCO 2018: 191-195 - [c80]Naveen K. D. Venkategowda, Stefan Werner:
Privacy-Preserving Distributed Precoder Design for Decentralized Estimation. GlobalSIP 2018: 1311-1315 - [c79]Adarsh Pal Singh, Vivek Jain, Sachin Chaudhari, Frank Alexander Kraemer, Stefan Werner, Vishal Garg:
Machine Learning-Based Occupancy Estimation Using Multivariate Sensor Nodes. GLOBECOM Workshops 2018: 1-6 - [c78]Sayed Pouria Talebi, Stefan Werner, Visa Koivunen:
Kalman Filtering and Clustering in Sensor Networks. ICASSP 2018: 4309-4313 - 2017
- [j54]Stefan Werner, Dennis Heinrich, Thilo Pionteck, Sven Groppe:
Semi-static operator graphs for accelerated query execution on FPGAs. Microprocess. Microsystems 53: 178-189 (2017) - [j53]Emilio Antonio-Rodriguez, Stefan Werner, Roberto López-Valcarce, Taneli Riihonen, Risto Wichman:
Wideband full-duplex MIMO relays with blind adaptive self-interference cancellation. Signal Process. 130: 74-85 (2017) - [j52]Reza Arablouei, Kutluyil Dogançay, Stefan Werner, Yih-Fang Huang:
On the asymptotic bias of the diffusion-based distributed pareto optimization. Signal Process. 130: 337-342 (2017) - [j51]Pramod Mathecken, Taneli Riihonen, Stefan Werner, Risto Wichman:
Constrained Phase Noise Estimation in OFDM Using Scattered Pilots Without Decision Feedback. IEEE Trans. Signal Process. 65(9): 2348-2362 (2017) - [c77]Emilio Antonio-Rodriguez, Stefan Werner, Taneli Riihonen, Risto Wichman:
Robust filter design for full-duplex relay links under limited dynamic range. SPAWC 2017: 1-5 - 2016
- [j50]Stefan Werner, Dennis Heinrich, Marc Stelzner, Volker Linnemann, Thilo Pionteck, Sven Groppe:
Accelerated join evaluation in Semantic Web databases by using FPGAs. Concurr. Comput. Pract. Exp. 28(7): 2031-2051 (2016) - [j49]Fernando Chierchie, Juan E. Cousseau, Eduardo E. Paolini, Stefan Werner:
Mitigation of pulse-width-modulation distortion using a digital predistorter based on memory polynomials. Signal Process. 120: 562-571 (2016) - [j48]Stefan Werner, Jarmo Lundén:
Smart Load Tracking and Reporting for Real-Time Metering in Electric Power Grids. IEEE Trans. Smart Grid 7(3): 1723-1731 (2016) - [j47]Pramod Mathecken, Taneli Riihonen, Stefan Werner, Risto Wichman:
Phase Noise Estimation in OFDM: Utilizing Its Associated Spectral Geometry. IEEE Trans. Signal Process. 64(8): 1999-2012 (2016) - [c76]Neelabh Kashyap, Stefan Werner, Jarmo Lundén:
Signal-dependent preprocessing of buffered PMU measurements for hybrid state estimation. I2MTC 2016: 1-6 - [c75]Neelabh Kashyap, Stefan Werner, Yih-Fang Huang, Reza Arablouei:
Privacy preserving decentralized power system state estimation with phasor measurement units. SAM 2016: 1-5 - [i4]Pramod Mathecken, Taneli Riihonen, Stefan Werner, Risto Wichman:
Constrained Phase Noise Estimation in OFDM Using Scattered Pilots Without Decision Feedback. CoRR abs/1606.00682 (2016) - 2015
- [j46]Sven Groppe, Dennis Heinrich, Stefan Werner:
Distributed Join Approaches for W3C-Conform SPARQL Endpoints. Open J. Semantic Web 2(1): 30-52 (2015) - [j45]Reza Arablouei, Kutluyil Dogançay, Stefan Werner:
Adaptive frequency estimation of three-phase power systems. Signal Process. 109: 290-300 (2015) - [j44]Reza Arablouei, Kutluyil Dogançay, Stefan Werner:
On the mean-square performance of the constrained LMS algorithm. Signal Process. 117: 192-197 (2015) - [j43]Reza Arablouei, Stefan Werner, Kutluyil Dogançay, Yih-Fang Huang:
Analysis of a reduced-communication diffusion LMS algorithm. Signal Process. 117: 355-361 (2015) - [j42]Reza Arablouei, Kutluyil Dogancay, Stefan Werner:
Recursive Total Least-Squares Algorithm Based on Inverse Power Method and Dichotomous Coordinate-Descent Iterations. IEEE Trans. Signal Process. 63(8): 1941-1949 (2015) - [c74]Stefan Werner, Jarmo Lundén:
Event-triggered real-time metering in smart grids. EUSIPCO 2015: 2701-2705 - [c73]