Calculation of the performance of communication systems from measured oscillator phase noise MR Khanzadi, D Kuylenstierna, A Panahi, T Eriksson, H Zirath
IEEE Transactions on Circuits and Systems I: Regular Papers 61 (5), 1553-1565, 2014
162 2014 Deep dictionary learning: A parametric network approach S Mahdizadehaghdam, A Panahi, H Krim, L Dai
IEEE Transactions on Image Processing 28 (10), 4790-4802, 2019
87 2019 Clustering by sum of norms: Stochastic incremental algorithm, convergence and cluster recovery A Panahi, D Dubhashi, FD Johansson, C Bhattacharyya
International conference on machine learning, 2769-2777, 2017
57 2017 A robust RFPI-based 1-bit compressive sensing reconstruction algorithm A Movahed, A Panahi, G Durisi
2012 IEEE Information Theory Workshop, 567-571, 2012
56 2012 Sequential Bayesian sparse signal reconstruction using array data CF Mecklenbräuker, P Gerstoft, A Panahi, M Viberg
IEEE Transactions on Signal Processing 61 (24), 6344-6354, 2013
54 2013 A universal analysis of large-scale regularized least squares solutions A Panahi, B Hassibi
Advances in Neural Information Processing Systems 30, 2017
48 2017 Sparse generative adversarial network S Mahdizadehaghdam, A Panahi, H Krim
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
47 2019 Analysis dictionary learning based classification: Structure for robustness W Tang, A Panahi, H Krim, L Dai
IEEE Transactions on Image Processing 28 (12), 6035-6046, 2019
46 2019 A NLLS based sub-nyquist rate spectrum sensing for wideband cognitive radio M Rashidi, K Haghighi, A Panahi, M Viberg
2011 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2011
46 2011 Asymptotically exact error analysis for the generalized equation-LASSO C Thrampoulidis, A Panahi, B Hassibi
Information Theory (ISIT), 2015 IEEE International Symposium on, 2021-2025, 2015
41 2015 Asymptotically Exact Error Analysis for the Generalized C Thrampoulidis, A Panahi, B Hassibi
arXiv preprint arXiv:1502.06287, 2015
41 * 2015 Precise error analysis of the lasso C Thrampoulidis, A Panahi, D Guo, B Hassibi
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International …, 2015
33 2015 Fast LASSO based DOA tracking A Panahi, M Viberg
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011 …, 2011
28 2011 Fast candidate points selection in the LASSO path A Panahi, M Viberg
IEEE Signal Processing Letters 19 (2), 79-82, 2012
26 2012 Precise asymptotic analysis of deep random feature models D Bosch, A Panahi, B Hassibi
The Thirty Sixth Annual Conference on Learning Theory, 4132-4179, 2023
24 2023 Maximum a posteriori based regularization parameter selection A Panahi, M Viberg
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International …, 2011
23 2011 Maximum a posteriori based regularization parameter selection A Panahi, M Viberg
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International …, 2011
23 2011 FsaNet: Frequency self-attention for semantic segmentation F Zhang, A Panahi, G Gao
IEEE Transactions on Image Processing 32, 4757-4772, 2023
22 2023 Community detection and improved detectability in multiplex networks Y Huang, A Panahi, H Krim, L Dai
IEEE Transactions on Network Science and Engineering 7 (3), 1697-1709, 2019
21 2019 Structured analysis dictionary learning for image classification W Tang, A Panahi, H Krim, L Dai
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
19 2018 
Mats VibergProfessor, Blekinge Institute of Technology and Chalmers University of TechnologyПідтверджена електронна адреса в bth.se