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Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section Measurement
| Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section Measurement |
| Autore | Kobayashi Hirokazu |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (570 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
inverse synthetic aperture ladar (ISAL)
maneuvering target integral cubic phase function (ICPF) fractional Fourier transform (FRFT) non-uniform fast Fourier transform (NUFFT) CLEAN technique simultaneous polarimetric radar constant modulus sequences correlation properties doppler tolerance saliency preprocessing LLC saliency detection image processing scene classification antenna array automatic guided vehicle DoA/DoD estimation MIMO radar direct position determination Doppler Doppler rate maximum likelihood estimator coherent pulse trains single moving sensor Cramer-Rao lower bound bistatic MIMO radar DOD/DOA estimation mutual coupling off-grid sparse problem unmanned aerial vehicle clustering methods man-made targets synthetic aperture radar (SAR) inverse synthetic aperture radar (ISAR) polarimetric decomposition Synthetic Aperture Radar (SAR) microwave imaging constitutive parameters conductivity permittivity tomography RF MEMS switch analytical approach low control voltage high switching speed high reliability radar echo cancellation frequency shifting modulation interrupted sampling radar jamming deception jamming remote sensing SAR radon transform speckle noise filtering maritime traffic monitoring wake detection and analysis synthetic aperture radar differential SAR tomography squinted SAR 3-D deformation 2-D PPS maneuvering target detection coherent integration motion parameter estimation second-order phase difference (SoPD) time-frequency analysis image fusion sparse representation hyperbolic tangent function guided filter narrowband interference separation block sparse Bayesian learning sensing matrix optimization block coherence measure bistatic inverse synthetic aperture radar linear geometry distortion prior information least square error lunar penetrating radar local correlation SNR K-L transform seislet transform generative adversarial nets through-wall radar imaging multipath ghost suppression generator and discriminator ultrahigh resolution spaceborne curved orbit series reversion singular value decomposition (SVD) deramping-based approach crosshole ground penetrating radar (GPR) Bayesian inversion Markov chain Monte Carlo (MCMC) forward model modeling error discrete cosine transform (DCT) through-wall imaging contrast target detection clutter reduction entropy thresholding low-rank approximation S-transformation ISAR micro-Doppler synchrosqueezing PBR (passive bistatic radar) clutter suppression non-uniform grid dilation morphology passive bistatic radar phased array radar parameter estimation aircraft surveillance GPR seasonal permafrost electromagnetic wave attribute relative water content marine radar wind direction retrieval small wind streak local gradient method adaptive reduced method energy spectrum method metamaterial absorber double negative dual-band FMCW radio altimeter methodological error critical height altitude measurement accuracy height pulses ultra-wide frequency deviation sparse recovery wideband noise interference dechirping subspace extraction denoising detection orthogonal matching pursuit pulse radar rotating target micro-motion feature extraction interrupted transmitting and receiving (ITR) dual-polarized radar DOA estimation atomic norm comprehensive SAR multiparametric SAR observation discrete scatterer model |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557305803321 |
Kobayashi Hirokazu
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics
| Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics |
| Autore | Fritzen Felix |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (254 p.) |
| Soggetto non controllato |
supervised machine learning
proper orthogonal decomposition (POD) PGD compression stabilization nonlinear reduced order model gappy POD symplectic model order reduction neural network snapshot proper orthogonal decomposition 3D reconstruction microstructure property linkage nonlinear material behaviour proper orthogonal decomposition reduced basis ECSW geometric nonlinearity POD model order reduction elasto-viscoplasticity sampling surrogate modeling model reduction enhanced POD archive modal analysis low-rank approximation computational homogenization artificial neural networks unsupervised machine learning large strain reduced-order model proper generalised decomposition (PGD) a priori enrichment elastoviscoplastic behavior error indicator computational homogenisation empirical cubature method nonlinear structural mechanics reduced integration domain model order reduction (MOR) structure preservation of symplecticity heterogeneous data reduced order modeling (ROM) parameter-dependent model data science Hencky strain dynamic extrapolation tensor-train decomposition hyper-reduction empirical cubature randomised SVD machine learning inverse problem plasticity proper symplectic decomposition (PSD) finite deformation Hamiltonian system DEIM GNAT |
| ISBN | 3-03921-410-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367759403321 |
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Fritzen Felix
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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