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ORCIDElias Raninen
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2020 – today
- 2026
[j6]Esa Ollila
, Xavier Mestre, Elias Raninen:
Beamforming Design for Minimizing the Signal Power Estimation Error. IEEE Trans. Signal Process. 74: 1206-1217 (2026)- [c7]Roman Klus, Vesa Lampu, Lucie Klus, Dani Korpi, Jukka Talvitie, Elias Raninen, Lauri Anttila, Mikko Valkama:
DeepTRX: 6G Physical-Layer Neural Processing with Joint End-to-End Learning under Nonlinearities. ICC Workshops 2026: 1-7 - [i2]Mikko Honkala, Dani Korpi, Elias Raninen, Janne M. J. Huttunen:
EqDeepRx: Learning a Scalable MIMO Receiver. CoRR abs/2602.11834 (2026) - 2025
- [c6]Jaakko Pihlajasalo, Dani Korpi, Elias Raninen, Mikko Valkama:
Deep Learning Based OFDM Physical-Layer Receiver with Multidilated Convolutions. CSCN 2025: 1-7 - [c5]Esa Ollila, Xavier Mestre, Elias Raninen:
Approach to Beamforming Minimizing the Signal Power Estimation Error. EUSIPCO 2025: 2382-2386 - 2024
- [c4]Elias Raninen:
Oracle Approximating Shrinkage Covariance Matrix Estimators for Complex Elliptical Distributions. EUSIPCO 2024: 2717-2721 - 2022
- [j5]Elias Raninen, Esa Ollila:
Bias Adjusted Sign Covariance Matrix. IEEE Signal Process. Lett. 29: 339-343 (2022) - [j4]Elias Raninen, David E. Tyler, Esa Ollila:
Linear Pooling of Sample Covariance Matrices. IEEE Trans. Signal Process. 70: 659-672 (2022) - 2021
- [j3]Elias Raninen, Esa Ollila, David E. Tyler:
On the Variability of the Sample Covariance Matrix Under Complex Elliptical Distributions. IEEE Signal Process. Lett. 28: 2092-2096 (2021) - [j2]Elias Raninen, Esa Ollila:
Coupled Regularized Sample Covariance Matrix Estimator for Multiple Classes. IEEE Trans. Signal Process. 69: 5681-5692 (2021) - 2020
- [c3]Ammar Mian, Elias Raninen, Esa Ollila:
A Comparative Study of Supervised Learning Algorithms for Symmetric Positive Definite Features. EUSIPCO 2020: 950-954 - [i1]Elias Raninen, Esa Ollila:
Coupled regularized sample covariance matrix estimator for multiple classes. CoRR abs/2011.04315 (2020)
2010 – 2019
- 2019
- [j1]Esa Ollila, Elias Raninen:
Optimal Shrinkage Covariance Matrix Estimation Under Random Sampling From Elliptical Distributions. IEEE Trans. Signal Process. 67(10): 2707-2719 (2019) - 2018
- [c2]Elias Raninen, Esa Ollila:
Optimal Pooling of Covariance Matrix Estimates Across Multiple Classes. ICASSP 2018: 4224-4228 - 2017
- [c1]Elias Raninen, Esa Ollila:
Scaled and square-root elastic net. ICASSP 2017: 4336-4340
Coauthor Index
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