Blumberg E, Hellmich F, Fromme T. Fostering inclusive learning in primary science education emphasizing activity and cooperation. Präsentation auf der 16th Biennial EARLI Conference for Research on Learning and Instruction. In: ; 2015.
LibreCat: /record/38173

Landhäußer S. Soziales Kapital und Nachbarschaft. In: Reutlinger  Christian, Stiehler  Steve,  Lingg  Eva , eds. Soziale Nachbarschaften: Geschichte, Grundlagen, Perspektiven. Springer VS; 2015:169-175.
LibreCat: /record/36403

Landhäußer S, Faas S. Zur Neuthematisierung von Familie als Erziehungs- und Bildungsortf: Konsequenzen und Herausforderungen für Eltern- und Familienbildung. Neue Aufmerksamkeiten für Familie. 2015;(Sonderheft 12).
LibreCat: /record/35789

Ramírez D, Schreier PJ, Vía J, Santamaría I, Scharf LL. An asymptotic LMPI test for cyclostationarity detection with application to Cognitive Radio (invited paper). In: Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. ; 2015.
LibreCat: /record/40747

Fanjul J, Lameiro C, Santamaría I, García-Naya JA, Castedo L. An Experimental Evaluation of Broadband Spatial IA for uncoordinated MIMO-OFDM Systems. In: Proc. IEEE Int. Conf. Digital Signal Process. ; 2015.
LibreCat: /record/40745

Theiler S, Stein M, Nossek JA. Ranging with high accuracy and without ambiguities. In: Proc. IEEE Work. Pos. Nav. &; Com. ; 2015.
LibreCat: /record/40751

Lameiro C, Santamaría I, Schreier PJ. Benefits of Improper Signaling for Underlay Cognitive Radio. IEEE Wireless Comm Lett. 2015;4:22–25. doi:10.1109/LWC.2014.2360179
LibreCat: /record/40752
DOI: 10.1109/LWC.2014.2360179

Lameiro C, Santamaría I, Schreier PJ. Analysis of maximally improper signalling schemes for underlay cognitive radio. In: Proc. IEEE Int. Conf. Comm. ; 2015.
LibreCat: /record/40746

Stein M, Sebastian T, Nossek JA. Overdemodulation for high-performance receivers with low-resolution ADC. IEEE Wireless Comm Lett. 2015;4(2):169–172. doi:10.1109/LWC.2015.2388675
LibreCat: /record/40749
DOI: 10.1109/LWC.2015.2388675

Song Y, Schreier PJ, Roseveare N. Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small. In: Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. ; 2015.
LibreCat: /record/40750