| 2019 | GLOBECOM | Benefits of Improper Signaling for Overlay Cognitive Radio. | Christian Lameiro, Ignacio Santamara, Peter J. Schreier |
| 2019 | ICASSP | Estimating the Number of Correlated Components Based on Random Projections. | Christian Lameiro, Tanuj Hasija, Tim Marrinan, Peter J. Schreier |
| 2019 | ICASSP | Improper Gaussian Signaling for the Two-user Broadcast Channel Treating Interference as Noise. | Christian Lameiro, Ignacio Santamara, Peter J. Schreier |
| 2019 | ICASSP | Energy-efficient Design for Underlay Cognitive Radio Using Improper Signaling. | Mohammad Soleymani, Christian Lameiro, Peter J. Schreier, Ignacio Santamara |
| 2018 | WCNC | Performance analysis of maximally improper signaling for multiple-antenna systems. | Christian Lameiro, Ignacio Santamara, Peter J. Schreier |
| 2017 | ICASSP | A sparse CCA algorithm with application to model-order selection for small sample support. | Christian Lameiro, Peter J. Schreier |
| 2016 | ACSSC | Cross-validation techniques for determining the number of correlated components between two data sets when the number of samples is very small. | Christian Lameiro, Peter J. Schreier |
| 2016 | ICASSP | Maximally improper interference in underlay cognitive radio networks. | Christian Lameiro, Ignacio Santamara, Wolfgang Utschick, Peter J. Schreier |