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M

Mateus de L. Filomeno

Researcher at Universidade Federal de Juiz de Fora

Publications -  18
Citations -  213

Mateus de L. Filomeno is an academic researcher from Universidade Federal de Juiz de Fora. The author has contributed to research in topics: Computer science & Time domain. The author has an hindex of 4, co-authored 11 publications receiving 108 citations.

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Hybrid PLC/Wireless Communication for Smart Grids and Internet of Things Applications

TL;DR: It is shown that HPWC and HSRC offer a more reliable data transmission path when compared to power line or wireless system working alone, and a connection between the capillarity of IoT and the communication infrastructure provided by SG.
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Orthogonal Chirp-Division Multiplexing for Power Line Sensing via Time-Domain Reflectometry

TL;DR: A time-domain reflectometry (TDR) system based on a baseband version of the orthogonal chirp-division multiplexing (OCDM) scheme, which is relies on a modified discrete Fresnel transform (DFnT) for power line sensing, and the highest number of measurements over time is obtained by the proposed scheme.
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Orthogonal Chirp Division Multiplexing for Baseband Data Communication Systems

TL;DR: Numerical analyses show that under the hardness of a noisy environment, the OCDM scheme is able to soften the impulsive noise effects better than previous schemes and yields better results when the channel length is unknown, in comparison to Hermitian symmetric OFDM and single carrier–cyclic prefix schemes.
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Two-Stage Single-Relay Channel Model for In-Home Broadband PLC Systems

TL;DR: The two-stage single-relay channel model is the best option for in-home broadband power line communication systems when the source-to-destination link is severely degraded (e.g., high signal attenuation and/or high-power noise presence), while the two-hop channel model was shown to be more appropriate when the channel degradation is not severe.
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Hybrid Power Line/Wireless Systems: An Optimal Power Allocation Perspective

TL;DR: Numerical analyses evaluate the proposed power allocation algorithms for exploiting the diversity between power line and wireless media by comparing them to alternative algorithms reported in the literature, and the attained results confirm their effectiveness and validate their usage in practical scenarios.