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Antenna array synthesis and compressed sensing

azienda Thesis in external company    


keywords COMPUTATIONAL ELECTROMAGNETICS, ALGORITHMS

Reference persons GIUSEPPE VECCHI, FRANCESCA VIPIANA

External reference persons M. Righero (Istituto Superiore Mario Boella)

Research Groups Applied Electromagnetics, CCNE - COMMUNICATIONS AND COMPUTER NETWORKS ENGINEERING

Thesis type MASTER THESIS

Description Compressed sensing, developed in harmonic analysis and signal processing, aims at reconstructing a signal sampled at a frequency lower than the one of the Shannon-Nyquist theorem, when information about the sparsity of the signal is known(1). The framework has been recently used also to address problems of antenna array design(2).
The thesis will explore this connection in the depth, in particular investigating the possibility of using Discrete Prolate Spheroidal Sequences(3) to approximate the desired pattern.

(1) http://www-stat.stanford.edu/~candes/papers/CompressiveSampling.pdf
(2) J. L. A. Quijano, M. Righero and G. Vecchi, ‘Spase 2D array placement for arbitrary pattern mask and with excitation constraints: a simple deterministic approach’, accepted for publications
(3) M. A. Davenport and M. B. Wakin, ‘Compressive sensing of analog signals using Discrete Prolate Spheroidal Sequences’, Applied and Computational Harmonic Analysis, vol. 33, n. 3, pages 438 – 472, 2012

See also  http://www.ismb.it/en/node/2238

Required skills - MS students in Telecommunication Engineering, Electronic Engineering, Computer Science, Applied Mathematics or equivalent
- Familiarity with basic topics of functional analysis, linear algebra, signal processing
- Experience with main programming languages (Matlab/Fortran/C/C++)

Notes Expected duration: 6 months.
The thesis will be developed at Istituto Superiore Mario Boella, Antenna and EMC Lab.


Deadline 03/01/2020      PROPONI LA TUA CANDIDATURA




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