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ORCIDTomas McKelvey
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2020 – today
- 2024
[j29]Yinan Yu
, Samuel Scheidegger, Tomas McKelvey:
Building efficient CNNs using Depthwise Convolutional Eigen-Filters (DeCEF). Neurocomputing 609: 128461 (2024)- 2023
- [c41]Ebrahim Balouji, Karl Bäckström, Tomas McKelvey:
Deep Reinforcement Learning Based Grid-Forming Inverter. IAS 2023: 1-9 - [i8]Tomas McKelvey:
Analysis of Interpolating Regression Models and the Double Descent Phenomenon. CoRR abs/2304.08113 (2023) - 2022
- [j28]Jonathan Lock, Tomas McKelvey:
Undiscounted control policy generation for continuous-valued optimal control by approximate dynamic programming. Int. J. Control 95(10): 2854-2864 (2022) - [j27]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): 1149-1160 (2022) - [c40]Carl Kylin, Thomas Eriksson, Anders Silander, Tomas McKelvey:
Over-The-Air Identification of Coupled Nonlinear Distortion in a MIMO Radar. SAM 2022: 121-125 - 2021
- [j26]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): 2979-2993 (2021) - [j25]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): 6485-6499 (2021) - [c39]Simon Stenmark, Thomas Rylander, Tomas McKelvey:
Neural Networks for the Estimation of Low-Order Statistical Moments of a Stochastic Dielectric. I2MTC 2021: 1-6 - [c38]Ebrahim Balouji, Özgül Salor, Tomas McKelvey:
Predictive Compensation of EAF Flicker, Voltage Dips Harmonics and Interharmonics Using Deep Learning. IAS 2021: 1-10 - [i7]Jonathan Lock, Tomas McKelvey:
Undiscounted Control Policy Generation for Continuous-Valued Optimal Control by Approximate Dynamic Programming. CoRR abs/2104.11093 (2021) - 2020
- [c37]Jacob Klintberg, Tomas McKelvey, Patrik B. G. Dammert:
Mitigation of Ground Clutter in Airborne Bistatic Radar Systems. SAM 2020: 1-5 - [i6]Suat Gumussoy, Ahmet Arda Ozdemir, Tomas McKelvey, Lennart Ljung, Mladen Gibanica, Rajiv Singh:
Improving Linear State-Space Models with Additional Iterations. CoRR abs/2003.06304 (2020) - [i5]Maryam Razi, Nikolce Murgovski, Tomas McKelvey, Torsten Wik:
Design and comparative analyses of optimal feedback controllers for hybrid electric vehicles. CoRR abs/2004.01921 (2020)
2010 – 2019
- 2019
- [c36]Tomas McKelvey:
Auto-Calibration of Co-Located Uniform Linear Array Antennas. CAMSAP 2019: 56-60 - [c35]Tomas McKelvey:
Auto-calibration of Uniform Linear Array Antennas. EUSIPCO 2019: 1-5 - [c34]Rikard Vinge, Tomas McKelvey:
Understanding Support Vector Machines with Polynomial Kernels. EUSIPCO 2019: 1-5 - [c33]Ebrahim Balouji, Thomas Hammarström, Tomas McKelvey:
Partial Discharge Classification in Power Electronics Applications using Machine Learning. GlobalSIP 2019: 1-5 - [c32]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: 1-9 - [c31]Jacob Klintberg, Tomas McKelvey:
An Improved Method for Parametric Spectral Estimation. ICASSP 2019: 5551-5555 - [i4]Yinan Yu, Tomas McKelvey:
Learning Hierarchical Feature Space Using CLAss-specific Subspace Multiple Kernel - Metric Learning for Classification. CoRR abs/1910.09309 (2019) - [i3]Samuel Scheidegger, Yinan Yu, Tomas McKelvey:
Separable Convolutional Eigen-Filters (SCEF): Building Efficient CNNs Using Redundancy Analysis. CoRR abs/1910.09359 (2019) - 2018
- [j24]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): 440-456 (2018) - [j23]Ayça Özçelikkale, Tomas McKelvey, Mats Viberg:
Remote Estimation of Correlated Sources Under Energy Harvesting Constraints. IEEE Trans. Wirel. Commun. 17(8): 5300-5313 (2018) - [c30]Dhinesh Velmurugan, Daniel Lundberg, Tomas McKelvey:
Supervisory controller for a LNT-SCR Diesel Exhaust After-Treatment System. ECC 2018: 1900-1907 - 2017
- [j22]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: 78-88 (2017) - [j21]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): 1177-1188 (2017) - [j20]Ayça Özçelikkale, Tomas McKelvey, Mats Viberg:
Transmission Strategies for Remote Estimation With an Energy Harvesting Sensor. IEEE Trans. Wirel. Commun. 16(7): 4390-4403 (2017) - [c29]Johan Nohlert, Thomas Rylander, Tomas McKelvey:
Matched filter for microwave-based detection of dielectric objects in powders. I2MTC 2017: 1-6 - [c28]Xiaowei Xu, Ayça Özçelikkale, Tomas McKelvey, Mats Viberg:
Simultaneous information and power transfer under a non-linear RF energy harvesting model. ICC Workshops 2017: 179-184 - 2016
- [j19]Bin Yang, Mats Viberg, Tomas McKelvey, Guanghan Xu:
Array response interpolation and DOA estimation with array response decomposition. Signal Process. 125: 97-109 (2016) - [j18]Malin Lundgren, Lars Hammarstrand, Tomas McKelvey:
Driver-Gaze Zone Estimation Using Bayesian Filtering and Gaussian Processes. IEEE Trans. Intell. Transp. Syst. 17(10): 2739-2750 (2016) - [c27]Ayça Özçelikkale, Tomas McKelvey, Mats Viberg:
Transmission strategies for remote estimation under energy harvesting constraints. EUSIPCO 2016: 572-576 - [c26]Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung:
Adaptive margin slack minimization in RKHS for classification. ICASSP 2016: 2319-2323 - [c25]Ayça Özçelikkale, Tomas McKelvey, Mats Viberg:
Performance bounds for remote estimation with an energy harvesting sensor. ISIT 2016: 460-464 - [c24]Ayça Özçelikkale, Tomas McKelvey, Mats Viberg:
Simultaneous information and power transfer with transmitters with hardware impairments. ISWCS 2016: 114-118 - [c23]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: 1-6 - [i2]Ayça Özçelikkale, Tomas McKelvey, Mats Viberg:
Performance Bounds for Remote Estimation under Energy Harvesting Constraints. CoRR abs/1610.02566 (2016) - [i1]Ayça Özçelikkale, Tomas McKelvey, Mats Viberg:
Transmission Strategies for Remote Estimation with an Energy Harvesting Sensor. CoRR abs/1610.02670 (2016) - 2015
- [j17]Yinan Yu, Tomas McKelvey:
A robust subspace classification scheme based on empirical intersection removal and sparse approximation. Integr. Comput. Aided Eng. 22(1): 59-69 (2015) - [j16]Nikolce Murgovski, Markus Grahn, Lars Johannesson Mårdh, Tomas McKelvey:
Automated Engine Calibration of Hybrid Electric Vehicles. IEEE Trans. Control. Syst. Technol. 23(3): 1063-1074 (2015) - [c22]Bin Yang, Tomas McKelvey, Mats Viberg, Guanghan Xu:
Array calibration using array response interpolation and parametric modeling. EUSIPCO 2015: 1336-1340 - [c21]Johan Nohlert, Thomas Rylander, Tomas McKelvey:
Microwave resonator sensor for detection of dielectric objects in metal pipes. I2MTC 2015: 914-919 - [c20]Ayça Özçelikkale, Tomas McKelvey, Mats Viberg:
Wireless information and power transfer in MIMO channels under Rician fading. ICASSP 2015: 3187-3191 - [c19]Ayça Özçelikkale, Tomas McKelvey, Mats Viberg:
MIMO linear precoder design with non-ideal transmitters. ISWCS 2015: 681-685 - 2014
- [j15]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): 2806-2817 (2014) - [c18]Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung:
Multiclass Ridge-adjusted Slack Variable Optimization using selected basis for fast classification. EUSIPCO 2014: 1178-1182 - [c17]Yinan Yu, Tomas McKelvey, Sun-Yuan Kung:
Feature reduction based on Sum-Of-SNR (SOSNR) optimization. ICASSP 2014: 6756-6760 - 2013
- [c16]Stefan Candefjord, Johan Winges, Yinan Yu, Thomas Rylander, Tomas McKelvey:
Microwave technology for localization of traumatic intracranial bleedings - A numerical simulation study. EMBC 2013: 1948-1951 - [c15]Yinan Yu, Tomas McKelvey:
A unified subspace classification framework developed for diagnostic system using microwave signal. EUSIPCO 2013: 1-5 - [c14]Tomas Bengtsson, Tomas McKelvey, Irene Yu-Hua Gu:
Super-Resolution reconstruction of High Dynamic Range images with perceptual weighting of errors. ICASSP 2013: 2212-2216 - [c13]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: 3542-3546 - [c12]Yinan Yu, Tomas McKelvey, Sun-Yuan Kung:
Kernel SODA: A Feature Reduction Technique Using Kernel Based Analysis. ICMLA (1) 2013: 72-78 - [c11]Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung:
Ridge-adjusted Slack Variable Optimization for supervised classification. MLSP 2013: 1-6 - 2012
- [c10]Yinan Yu, Tomas McKelvey:
A subspace learning algorithm for microwave scattering signal classification with application to wood quality assessment. MLSP 2012: 1-6 - 2011
- [j14]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): 2072-2082 (2011) - [c9]Sima Shahsavari, Tomas McKelvey, Catherine Eriksson Ritzen, Bertil Rydenhag:
Plateau waves and baroreflex sensitivity in patients with head injury: A case study. EMBC 2011: 3792-3795 - [c8]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: 6465-6469
2000 – 2009
- 2007
- [c7]Joakim Gunnarsson, Tomas McKelvey:
Reducing noise sensitivity in F-esprit using weighting matrices. EUSIPCO 2007: 783-787 - 2006
- [j13]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): 5-17 (2006) - [j12]Per Sjövall, Tomas McKelvey, Thomas Abrahamsson:
Constrained state-space system identification with application to structural dynamics. Autom. 42(9): 1539-1546 (2006) - 2004
- [j11]Thomas Ribarits, Manfred Deistler, Tomas McKelvey:
An analysis of the parametrization by data driven local coordinates for multivariable linear systems. Autom. 40(5): 789-803 (2004) - [j10]Tomas McKelvey, Anders Helmersson, Thomas Ribarits:
Data driven local coordinates for multivariable linear systems and their application to system identification. Autom. 40(9): 1629-1635 (2004) - [c6]Tomas McKelvey:
Subspace methods for frequency domain data. ACC 2004: 673-678 - [c5]Ingemar Andersson, Tomas McKelvey:
Torque ratio concept for combustion phasing detection of a spark ignited engine. CDC 2004: 1703-1708 - [c4]Bengt Lennartson, Rick Middleton, Anna-Karin Christiansson, Tomas McKelvey:
Low order sampled data H∞ control using the delta operator and LMIs. CDC 2004: 4479-4484 - [c3]Ingemar Andersson, Tomas McKelvey:
A system inversion approach on a crankshaft of an internal combustion engine. CDC 2004: 5449-5454 - [c2]Joakim Gunnarsson, Tomas McKelvey:
Consistency analysis of a frequency domain subspace algorithm for multi-component harmonic retrieval. ICASSP (2) 2004: 481-484 - 2003
- [j9]G. Tong Zhou, Mats Viberg, Tomas McKelvey:
A first-order statistical method for channel estimation. IEEE Signal Process. Lett. 10(3): 57-60 (2003) - 2000
- [j8]Petre Stoica, Tomas McKelvey, Jorge Mari:
MA estimation in polynomial time. IEEE Trans. Signal Process. 48(7): 1999-2012 (2000) - [j7]Jorge Mari, Petre Stoica, Tomas McKelvey:
Vector ARMA estimation: a reliable subspace approach. IEEE Trans. Signal Process. 48(7): 2092-2104 (2000) - [c1]Tomas McKelvey:
On the finite length DFT of input-output signals of multivariable linear systems. CDC 2000: 5190-5191
1990 – 1999
- 1998
- [j6]Tomas McKelvey, Roberto Guidorzi:
Discussion: 'On the Use of Minimal Parametrisations in Multivariable ARMAX Identification' by R. P. Guidorzi. Eur. J. Control 4(2): 93-98 (1998) - 1996
- [j5]Tomas McKelvey, Hüseyin Akçay, Lennart Ljung:
Subspace-based identification of infinite-dimensional multivariable systems from frequency-response data. Autom. 32(6): 885-902 (1996) - [j4]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): 1689-1700 (1996) - [j3]Lennart Ljung, Tomas McKelvey:
Subspace identification from closed loop data. Signal Process. 52(2): 209-215 (1996) - [j2]Rik Pintelon, Johan Schoukens, Tomas McKelvey, Yves Rolain:
Minimum variance bounds for overparameterized models. IEEE Trans. Autom. Control. 41(5): 719-720 (1996) - [j1]Tomas McKelvey, Hüseyin Akçay, Lennart Ljung:
Subspace-based multivariable system identification from frequency response data. IEEE Trans. Autom. Control. 41(7): 960-979 (1996)
Coauthor Index
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