L
Lars Lundheim
Researcher at Norwegian University of Science and Technology
Publications - 34
Citations - 212
Lars Lundheim is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Estimator & Carrier frequency offset. The author has an hindex of 8, co-authored 34 publications receiving 201 citations. Previous affiliations of Lars Lundheim include CERN.
Papers
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Proceedings Article
Evaluation of methods for ground bounce removal in GPR utility mapping
S. Tjora,Egil Eide,Lars Lundheim +2 more
TL;DR: In this article, mean, median, moving median and principal component analysis techniques have been evaluated on GPR data sets collected with an elevated bow-tie array antenna and an online and real-time PCA based method has been implemented and tested as well.
On Shannon and "Shannon's Formula"
TL;DR: In this article, it was shown that there was a fundamental limit to how much energy could be extracted from a heat engine, and this result was generalized to the second law of thermodynamics.
Proceedings ArticleDOI
A socket interface for GALS using locally dynamic voltage scaling for rate-adaptive energy saving
T. Njolstad,O. Tjore,K. Svarstad,Lars Lundheim,T.O. Vedal,J. Typpo,T. Ramstad,L. Wanhammar,E.J. Aar,Håvard E. Danielsen +9 more
TL;DR: By the proposed socket interface, synchronous design methodology can be continued at module level including use of industry standard HDL-based synthesis tools, while module reuse and system design, can be substantially simplified.
Journal ArticleDOI
Optimal Pulses Robust to Carrier Frequency Offset for OFDM/QAM Systems
Gang Lin,Lars Lundheim,N. Holte +2 more
TL;DR: Numerical comparison verifies that the optimal pulses with minimum ICI power at a given CFO point for OFDM/QAM systems are more robust to CFO than previously suggested pulses at the selected CFO Point.
Journal ArticleDOI
Towards a real-time measurement platform for microgrids in isolated communities
TL;DR: In this article, a platform for obtaining and analyzing real-time measurements in micro-grids is described, where a key building block is the empirical mode decomposition (EMD) used to analyze the electrical voltage and current waveforms to identify the instantaneous frequency and amplitude of the original signal.