[go: up one dir, main page]
Follow
Magnus Jansson
Magnus Jansson
KTH Royal Institute of Technology, School of Electrical engineering and computer science, Division
Verified email at kth.se - Homepage
Title
Cited by
Cited by
Year
Anomaly-Based Drone Classification Using a Model Trained Convolutional Neural Network Autoencoder on Radar Micro-Doppler
A Karlsson, M Jansson, M Hämäläinen
2023 IEEE International Radar Conference (RADAR), 1-6, 2023
2023
Data Driven Track Before Detect Using Artificial Neural Networks
A Karlsson, M Jansson, M Hämäläinen
2023 IEEE International Radar Conference (RADAR), 1-6, 2023
2023
Model Selection in High-Dimensional Block-Sparse General Linear Regression
PB Gohain, M Jansson
2023 31st European Signal Processing Conference (EUSIPCO), 1928-1932, 2023
2023
Robust information criterion for model selection in sparse high-dimensional linear regression models
PB Gohain, M Jansson
IEEE Transactions on Signal Processing 71, 2251-2266, 2023
62023
Low-Angle Target Tracking in Sea Surface Multipath Using Convolutional Neural Networks
A Karlsson, M Jansson, M Hämäläinen
IEEE Transactions on Aerospace and Electronic Systems 59 (5), 6813-6831, 2023
2023
Model Selection in High-Dimensional Block-Sparse Linear Regression
PB Gohain, M Jansson
arXiv preprint arXiv:2209.01460, 2022
2022
Scale-Invariant and consistent Bayesian information criterion for order selection in linear regression models
PB Gohain, M Jansson
Signal Processing 196, 108499, 2022
182022
New improved criterion for model selection in sparse high-dimensional linear regression models
PB Gohain, M Jansson
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
52022
Model-aided drone classification using convolutional neural networks
A Karlsson, M Jansson, M Hämäläinen
2022 IEEE Radar Conference (RadarConf22), 1-6, 2022
102022
Detecting state transitions of a markov source: Sampling frequency and age trade-off
JP Champati, M Skoglund, M Jansson, J Gross
IEEE Transactions on Communications 70 (5), 3081-3095, 2022
132022
Stepped frequency pulse compression with noncoherent radar using deep learning
A Karlsson, M Jansson, H Holter
IEEE Transactions on Aerospace and Electronic Systems 57 (3), 1657-1671, 2020
42020
Relative cost based model selection for sparse high-dimensional linear regression models
PB Gohain, M Jansson
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
62020
Model selection with covariance matching based non-negative lasso
A Owrang, Y Bresler, M Jansson
Signal Processing 170, 107431, 2020
2020
A model selection criterion for high-dimensional linear regression
A Owrang, M Jansson
IEEE Transactions on Signal Processing 66 (13), 3436-3446, 2018
142018
Direction of arrival estimation using adaptive directional time-frequency distributions
N Ali Khan, S Ali, M Jansson
Multidimensional Systems and Signal Processing 29 (2), 503-521, 2018
152018
Subspace Hammerstein model identification under periodic disturbance
J Hou, T Liu, B Wahlberg, M Jansson
IFAC-PapersOnLine 51 (15), 335-340, 2018
182018
A connectedness constraint for learning sparse graphs
M Sundin, A Venkitaraman, M Jansson, S Chatterjee
2017 25th European Signal Processing Conference (EUSIPCO), 151-155, 2017
182017
Comments on “enhanced PUMA for direction-of-arrival estimation and its performance analysis”
D Zachariah, P Stoica, M Jansson
IEEE Transactions on Signal Processing 65 (22), 6113-6114, 2017
82017
The Internet of Elevators
D Patil, D Luan, F Huss, H Lime, Y Yang, I Skog, M Jansson
2017
Consistent change point detection for piecewise constant signals with normalized fused lasso
A Owrang, M Malek-Mohammadi, A Proutiere, M Jansson
IEEE signal processing letters 24 (6), 799-803, 2017
172017
The system can't perform the operation now. Try again later.
Articles 1–20