Vai al contenuto principale della pagina

Microwave Sensing and Imaging



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Randazzo Andrea Visualizza persona
Titolo: Microwave Sensing and Imaging Visualizza cluster
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica: 1 online resource (218 p.)
Soggetto topico: History of engineering and technology
Technology: general issues
Soggetto non controllato: antenna array
axial ratio
beam summation methods
block system inversion
born approximation
brain stroke
breast
buried objects
DBIM
differential imaging
dynamic range
electromagnetic scattering
experimental measurements
field illustration
frequency-dimension scale
imaging
imaging plane calibration algorithm (IPCA)
inverse scattering
leakage
linearized inverse scattering
measurements
medical MEMS
microwave
microwave imaging
microwave tomography
monitoring
multipath
multiple-input multiple-output (MIMO) radar
MW magnetic field
numerical optimization
NV center
orbital angular momentum
Particle Swarm Optimization (PSO)
permittivity
polarization
radar imaging
rytov approximation
software defined radio
stroke detection
target detection
terahertz
thermography
through-wall radar
trade-off analysis
two-dimensional radar imaging
wave propagation
wireless power transfer
Persona (resp. second.): PontiCristina
FedeliAlessandro
RandazzoAndrea
Sommario/riassunto: In recent years, microwave sensing and imaging have acquired an ever-growing importance in several applicative fields, such as non-destructive evaluations in industry and civil engineering, subsurface prospection, security, and biomedical imaging. Indeed, microwave techniques allow, in principle, for information to be obtained directly regarding the physical parameters of the inspected targets (dielectric properties, shape, etc.) by using safe electromagnetic radiations and cost-effective systems. Consequently, a great deal of research activity has recently been devoted to the development of efficient/reliable measurement systems, which are effective data processing algorithms that can be used to solve the underlying electromagnetic inverse scattering problem, and efficient forward solvers to model electromagnetic interactions. Within this framework, this Special Issue aims to provide some insights into recent microwave sensing and imaging systems and techniques.
Titolo autorizzato: Microwave Sensing and Imaging  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910576872103321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui