## Abstract An analytical approach to inverse electromagnetic scattering is proposed. A two‐dimensional geometry is considered. A closed‐form singular value decomposition of the scattering integral operator is derived and is used to reconstruct the radiating components of the equivalent current den
The D-bar approach to inverse scattering and nonlinear evolutions
✍ Scribed by Richard Beals; Ronald R. Coifman
- Publisher
- Elsevier Science
- Year
- 1986
- Tongue
- English
- Weight
- 429 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0167-2789
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
A new iterati¨e algorithm for the reconstruction of twodimensional lossless objects is de¨eloped using time-domain scattering data. All of the calculations in both the forward and in¨ersion algorithms are carried out efficiently in the time domain using the finite-difference ( ) time-domain FDTD met
A nertral-neh~orh approucli is riei.ekiped to itiwstigate tl7e irii,erse ~caftt'rrti,y from a perfectlv coridrrcring circular d i n d e r due to a normal field incidence. The neural network, is itsed to predict the electrical radius ka of ( I circular cylinder h\ rewi enng the coinp1e.u coefficients
## Abstract A new approach, based on the radial‐bias function neural network (RBF‐NN) combined with wavelet transform, is presented for the estimation of the locations and radii of conducting cylindrical scatterers. The discrete wavelet transform coefficients of the electric‐field values scattered
The present work reports a discrete, stress-dependent dynamic compliance spectra method which may be used to predict the mechanical response of nonlinear viscoelastic polymers during strain-defined processes. The method is based on the observation that the real and complex parts of the discrete dyna
Lower-bound estimates for the ground-state energy of the helium atom are determined using nonlinear programming techniques. Optimized lower bounds are determined for single-particle, radially correlated, and general correlated wave functions. The local nature of the method employed makes it a very s