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Christian Berger

Researcher at Pontifical Catholic University of Chile

Publications -  213
Citations -  9012

Christian Berger is an academic researcher from Pontifical Catholic University of Chile. The author has contributed to research in topics: Orthogonal frequency-division multiplexing & Communication channel. The author has an hindex of 43, co-authored 196 publications receiving 7338 citations. Previous affiliations of Christian Berger include University of Mainz & Karlsruhe Institute of Technology.

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Group Influences on Individual Aggression and Prosociality: Early Adolescents Who Change Peer Affiliations

TL;DR: In this article, the influence that group norms exert on individual aggressive and prosocial behavior was studied. But the authors focused on the short-term adaptive nature of aggressive behavior in some peer groups and the need for considering social mobility when assessing group influence on individual behavior.
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Stratification Effect Compensation for Improved Underwater Acoustic Ranging

TL;DR: This work proposes a depth-based approach to compensate the stratification effect for improved underwater ranging, and finds a numerically simple range estimator, based on reconstructing the slanted path using Fermat's Principle and calculus of variations, that removes the bias and is asymptotically efficient.
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Why do early adolescents bully? Exploring the influence of prestige norms on social and psychological motives to bully.

TL;DR: Classroom prestige norms for relational aggression increased the association between Machiavellianism and bullying, and hierarchical linear modeling analyses showed that Machianism, but not perceived popularity, predicted bullying after controlling for baseline scores.
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PAC vs. MAC for Decentralized Detection Using Noncoherent Modulation

TL;DR: It is found that for noncoherent modulation, there is no processing gain using the MAC for decentralized detection, but compared to parallel-access channels (PACs) the MAC avoids theNoncoherent combining loss.
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Comparison of basis pursuit algorithms for sparse channel estimation in underwater acoustic OFDM

TL;DR: This paper compares the performance and complexity of three popular BP algorithms, namely l1 ls, SpaRSA, and YALL1, using both simulation and experimental data for underwater orthogonal frequency division multiplexing (OFDM) systems with both single and multiple transmitters, and finds that all BP solvers achieve similar block-error-rate performance.