Tomas McKelvey

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 38

Top Topics

Sparse Approximation

Electric Vehicles

Statistical Moments

Top Venues

Publications

Ebrahim Balouji, Karl Bäckström, Tomas McKelvey
Deep Reinforcement Learning Based Grid-Forming Inverter. IAS (2023)
Tomas McKelvey
Analysis of Interpolating Regression Models and the Double Descent Phenomenon. CoRR (2023)
Jacob Klintberg, Tomas McKelvey, Patrik B. G. Dammert
A Parametric Approach to Space-Time Adaptive Processing in Bistatic Radar Systems. IEEE Trans. Aerosp. Electron. Syst. 58 (2) (2022)
Jonathan Lock, Tomas McKelvey
Undiscounted control policy generation for continuous-valued optimal control by approximate dynamic programming. Int. J. Control 95 (10) (2022)
Carl Kylin, Thomas Eriksson, Anders Silander, Tomas McKelvey
Over-The-Air Identification of Coupled Nonlinear Distortion in a MIMO Radar. SAM (2022)
Maryam Razi, Nikolce Murgovski, Tomas McKelvey, Torsten Wik
Design and Comparative Analyses of Optimal Feedback Controllers for Hybrid Electric Vehicles. IEEE Trans. Veh. Technol. 70 (4) (2021)
Jonathan Lock, Tomas McKelvey
Undiscounted Control Policy Generation for Continuous-Valued Optimal Control by Approximate Dynamic Programming. CoRR (2021)
Ebrahim Balouji, Özgül Salor, Tomas McKelvey
Predictive Compensation of EAF Flicker, Voltage Dips Harmonics and Interharmonics Using Deep Learning. IAS (2021)
Simon Stenmark, Thomas Rylander, Tomas McKelvey
Neural Networks for the Estimation of Low-Order Statistical Moments of a Stochastic Dielectric. I2MTC (2021)
Maryam Razi, Nikolce Murgovski, Tomas McKelvey, Torsten Wik
Predictive Energy Management of Hybrid Electric Vehicles via Multi-Layer Control. IEEE Trans. Veh. Technol. 70 (7) (2021)
Maryam Razi, Nikolce Murgovski, Tomas McKelvey, Torsten Wik
Design and comparative analyses of optimal feedback controllers for hybrid electric vehicles. CoRR (2020)
Suat Gumussoy, Ahmet Arda Ozdemir, Tomas McKelvey, Lennart Ljung, Mladen Gibanica, Rajiv Singh
Improving Linear State-Space Models with Additional Iterations. CoRR (2020)
Jacob Klintberg, Tomas McKelvey, Patrik B. G. Dammert
Mitigation of Ground Clutter in Airborne Bistatic Radar Systems. SAM (2020)
Yinan Yu, Tomas McKelvey
Learning Hierarchical Feature Space Using CLAss-specific Subspace Multiple Kernel - Metric Learning for Classification. CoRR (2019)
Rikard Vinge, Tomas McKelvey
Understanding Support Vector Machines with Polynomial Kernels. EUSIPCO (2019)
Jacob Klintberg, Tomas McKelvey
An Improved Method for Parametric Spectral Estimation. ICASSP (2019)
Tomas McKelvey
Auto-Calibration of Co-Located Uniform Linear Array Antennas. CAMSAP (2019)
Samuel Scheidegger, Yinan Yu, Tomas McKelvey
Separable Convolutional Eigen-Filters (SCEF): Building Efficient CNNs Using Redundancy Analysis. CoRR (2019)
Ebrahim Balouji, Karl Bäckström, Tomas McKelvey, Özgül Salor
Deep Learning Based Harmonics and Interharmonics Pre-Detection Designed for Compensating Significantly Time-varying EAF Currents. IAS (2019)
Tomas McKelvey
Auto-calibration of Uniform Linear Array Antennas. EUSIPCO (2019)
Ebrahim Balouji, Thomas Hammarström, Tomas McKelvey
Partial Discharge Classification in Power Electronics Applications using Machine Learning. GlobalSIP (2019)
Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
Remote Estimation of Correlated Sources Under Energy Harvesting Constraints. IEEE Trans. Wirel. Commun. 17 (8) (2018)
Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung
CLAss-Specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification. IEEE Trans. Neural Networks Learn. Syst. 29 (2) (2018)
Dhinesh Velmurugan, Daniel Lundberg, Tomas McKelvey
Supervisory controller for a LNT-SCR Diesel Exhaust After-Treatment System. ECC (2018)
Tomas Bengtsson, Tomas McKelvey, Konstantin Lindström
On robust optical flow estimation on image sequences with differently exposed frames using primal-dual optimization. Image Vis. Comput. 57 (2017)
Johan Nohlert, Thomas Rylander, Tomas McKelvey
Matched filter for microwave-based detection of dielectric objects in powders. I2MTC (2017)
Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
Transmission Strategies for Remote Estimation With an Energy Harvesting Sensor. IEEE Trans. Wirel. Commun. 16 (7) (2017)
Stefan Candefjord, Johan Winges, Ahzaz Ahmad Malik, Yinan Yu, Thomas Rylander, Tomas McKelvey, Andreas Fhager, Mikael Elam, Mikael Persson
Microwave technology for detecting traumatic intracranial bleedings: tests on phantom of subdural hematoma and numerical simulations. Medical Biol. Eng. Comput. 55 (8) (2017)
Xiaowei Xu, Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
Simultaneous information and power transfer under a non-linear RF energy harvesting model. ICC Workshops (2017)
Malin Lundgren, Lars Hammarstrand, Tomas McKelvey
Driver-Gaze Zone Estimation Using Bayesian Filtering and Gaussian Processes. IEEE Trans. Intell. Transp. Syst. 17 (10) (2016)
Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
Performance bounds for remote estimation with an energy harvesting sensor. ISIT (2016)
Bin Yang, Mats Viberg, Tomas McKelvey, Guanghan Xu
Array response interpolation and DOA estimation with array response decomposition. Signal Process. 125 (2016)
Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
Performance Bounds for Remote Estimation under Energy Harvesting Constraints. CoRR (2016)
Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung
Adaptive margin slack minimization in RKHS for classification. ICASSP (2016)
Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
Simultaneous information and power transfer with transmitters with hardware impairments. ISWCS (2016)
Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung
Enhanced distance subset approximation using class-specific subspace kernel representation for kernel approximation. MLSP (2016)
Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
Transmission Strategies for Remote Estimation with an Energy Harvesting Sensor. CoRR (2016)
Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
Transmission strategies for remote estimation under energy harvesting constraints. EUSIPCO (2016)
Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
MIMO linear precoder design with non-ideal transmitters. ISWCS (2015)
Bin Yang, Tomas McKelvey, Mats Viberg, Guanghan Xu
Array calibration using array response interpolation and parametric modeling. EUSIPCO (2015)
Nikolce Murgovski, Markus Grahn, Lars Johannesson Mårdh, Tomas McKelvey
Automated Engine Calibration of Hybrid Electric Vehicles. IEEE Trans. Control. Syst. Technol. 23 (3) (2015)
Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
Wireless information and power transfer in MIMO channels under Rician fading. ICASSP (2015)
Johan Nohlert, Thomas Rylander, Tomas McKelvey
Microwave resonator sensor for detection of dielectric objects in metal pipes. I2MTC (2015)
Yinan Yu, Tomas McKelvey
A robust subspace classification scheme based on empirical intersection removal and sparse approximation. Integr. Comput. Aided Eng. 22 (1) (2015)
Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung
Multiclass Ridge-adjusted Slack Variable Optimization using selected basis for fast classification. EUSIPCO (2014)
Yinan Yu, Tomas McKelvey, Sun-Yuan Kung
Feature reduction based on Sum-Of-SNR (SOSNR) optimization. ICASSP (2014)
Mikael Persson, Andreas Fhager, Hana Dobsicek Trefna, Yinan Yu, Tomas McKelvey, Goran Pegenius, Jan-Erik Karlsson, Mikael Elam
Microwave-Based Stroke Diagnosis Making Global Prehospital Thrombolytic Treatment Possible. IEEE Trans. Biomed. Eng. 61 (11) (2014)
Stefan Candefjord, Johan Winges, Yinan Yu, Thomas Rylander, Tomas McKelvey
Microwave technology for localization of traumatic intracranial bleedings - A numerical simulation study. EMBC (2013)
Yinan Yu, Tomas McKelvey
A unified subspace classification framework developed for diagnostic system using microwave signal. EUSIPCO (2013)
Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung
Ridge-adjusted Slack Variable Optimization for supervised classification. MLSP (2013)
Yinan Yu, Tomas McKelvey, Sun-Yuan Kung
A classification scheme for 'high-dimensional-small-sample-size' data using soda and ridge-SVM with microwave measurement applications. ICASSP (2013)
Yinan Yu, Tomas McKelvey, Sun-Yuan Kung
Kernel SODA: A Feature Reduction Technique Using Kernel Based Analysis. ICMLA (1) (2013)
Tomas Bengtsson, Tomas McKelvey, Irene Yu-Hua Gu
Super-Resolution reconstruction of High Dynamic Range images with perceptual weighting of errors. ICASSP (2013)
Yinan Yu, Tomas McKelvey
A subspace learning algorithm for microwave scattering signal classification with application to wood quality assessment. MLSP (2012)
Sima Shahsavari, Tomas McKelvey, Catherine E. Ritzen, Bertil Rydenhag
Cerebrovascular Mechanical Properties and Slow Waves of Intracranial Pressure in TBI Patients. IEEE Trans. Biomed. Eng. 58 (7) (2011)
Hamed Yousefi Mesri, Masoud Khazaeli Najafabadi, Tomas McKelvey
A multidimensional signal processing approach for classification of microwave measurements with application to stroke type diagnosis. EMBC (2011)
Sima Shahsavari, Tomas McKelvey, Catherine Eriksson Ritzen, Bertil Rydenhag
Plateau waves and baroreflex sensitivity in patients with head injury: A case study. EMBC (2011)
Joakim Gunnarsson, Tomas McKelvey
Reducing noise sensitivity in F-esprit using weighting matrices. EUSIPCO (2007)
Per Sjövall, Tomas McKelvey, Thomas Abrahamsson
Constrained state-space system identification with application to structural dynamics. Autom. 42 (9) (2006)
Tohru Katayama, Tomas McKelvey, Akira Sano, Christos G. Cassandras, Marco C. Campi
Trends in systems and signals: Status report prepared by the IFAC Coordinating Committee on Systems and Signals. Annu. Rev. Control. 30 (1) (2006)
Bengt Lennartson, Rick Middleton, Anna-Karin Christiansson, Tomas McKelvey
control using the delta operator and LMIs. CDC (2004)
Thomas Ribarits, Manfred Deistler, Tomas McKelvey
An analysis of the parametrization by data driven local coordinates for multivariable linear systems. Autom. 40 (5) (2004)
Ingemar Andersson, Tomas McKelvey
A system inversion approach on a crankshaft of an internal combustion engine. CDC (2004)
Joakim Gunnarsson, Tomas McKelvey
Consistency analysis of a frequency domain subspace algorithm for multi-component harmonic retrieval. ICASSP (2) (2004)
Tomas McKelvey, Anders Helmersson, Thomas Ribarits
Data driven local coordinates for multivariable linear systems and their application to system identification. Autom. 40 (9) (2004)
Tomas McKelvey
Subspace methods for frequency domain data. ACC (2004)
Ingemar Andersson, Tomas McKelvey
Torque ratio concept for combustion phasing detection of a spark ignited engine. CDC (2004)
G. Tong Zhou, Mats Viberg, Tomas McKelvey
A first-order statistical method for channel estimation. IEEE Signal Process. Lett. 10 (3) (2003)
Jorge Mari, Petre Stoica, Tomas McKelvey
Vector ARMA estimation: a reliable subspace approach. IEEE Trans. Signal Process. 48 (7) (2000)
Petre Stoica, Tomas McKelvey, Jorge Mari
MA estimation in polynomial time. IEEE Trans. Signal Process. 48 (7) (2000)
Tomas McKelvey
On the finite length DFT of input-output signals of multivariable linear systems. CDC (2000)
Tomas McKelvey, Roberto Guidorzi
Discussion: 'On the Use of Minimal Parametrisations in Multivariable ARMAX Identification' by R. P. Guidorzi. Eur. J. Control 4 (2) (1998)
Tomas McKelvey, Hüseyin Akçay, Lennart Ljung
Subspace-based multivariable system identification from frequency response data. IEEE Trans. Autom. Control. 41 (7) (1996)
Rik Pintelon, Johan Schoukens, Tomas McKelvey, Yves Rolain
Minimum variance bounds for overparameterized models. IEEE Trans. Autom. Control. 41 (5) (1996)
Lennart Ljung, Tomas McKelvey
Subspace identification from closed loop data. Signal Process. 52 (2) (1996)
Tomas McKelvey, Thomas Abrahamsson, Lennart Ljung
Vibration data analysis for a commercial aircraft : Multivariable vibration data from an aircraft is analyzed using modern system identification tools. The identified linear vibrational model accurately describes the measured motion. Autom. 32 (12) (1996)
Tomas McKelvey, Hüseyin Akçay, Lennart Ljung
Subspace-based identification of infinite-dimensional multivariable systems from frequency-response data. Autom. 32 (6) (1996)