
(Real-Time) Embedded (ELF band) FSK-PSK Demodulator based on Hilbert Transform
This paper describes a signal processing application an embedded hardware platform, based on Hilbert transform method for demodulation of digital signals.
Natural vs. random protein sequences: Discovering combinatorics properties on amino acid words
Casual mutations and natural selection have driven the evolution of protein amino acid sequences that we observe at present in nature. The question about which is the dominant force of proteins evolution is still lacking of an unambiguous answer. Casual mutations tend to randomize protein sequences while, in order to have the correct functionality, one expects that selection mechanisms impose rigid constraints on amino acid sequences.
Qualitative analysis and numerical approximation of an optimal control model for invasivespecies
Invasive species cause huge amounts of environmental, economic, social and
cultural damage in Europe and worldwide. Improving measures to control them is
an ongoing challenge, and mathematical modeling and optimization are becoming increasingly popular as a tool to assist management (1; 2; 4). We analyse
an optimal control model for the control of invasive species which aims to find
the best temporal resource allocation strategy for the population reduction, under
a budget constraint (3).
Compact Ground-Based Interferometric Synthetic Aperture Radar Short-range structural monitoring
Recently, structural monitoring by radar remote sensing has become more necessary for both economic and security reasons. Infrastructure monitoring with no incorporated deformation sensors (e.g., old generation water dams for which regulations did not impose monitoring capabilities) is usually performed by regular in situ topographic surveys. However, these surveys cannot be performed very often, and alternative methods are desirable.
Bioventing technique for subsoil decontamination: some numerical results for airflow optimization
Mathematical models for subsoil decontamination by biological techniques
Non-local network dynamics via fractional graph Laplacians
We introduce non-local dynamics on directed networks through the construction of a fractional version of a non-symmetric Laplacian for weighted directed graphs. Furthermore, we provide an analytic treatment of fractional dynamics for both directed and undirected graphs, showing the possibility of exploring the network employing random walks with jumps of arbitrary length. We also provide some examples of the applicability of the proposed dynamics, including consensus over multi-agent systems described by directed networks.





