English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Inverse scattering from discrete targets with thesingle-input-multiple-output (SIMO), multiple-input-single-output (MISO) ormultiple-input-multiple-output (MIMO) measurements is analyzed by compressedsensing theory with and without the Born approximation. High frequency analysisof (probabilistic) recoverability by the $L^1$-basedminimization/regularization principles is presented. In the absence of noise,it is shown that the $L^1$-based solution can recover exactly the target ofsparsity up to the dimension of the data either with the MIMO measurement forthe Born scattering or with the SIMO/MISO measurement for the exact scattering.The stability with respect to noisy data is proved for weak or widely separatedscatterers. Reciprocity between the SIMO and MISO measurements is analyzed.Finally a coherence bound (and the resulting recoverability) is proved fordiffraction tomography with high-frequency, few-view and limited-angleSIMO/MISO measurements.

Compressive Inverse Scattering I. High Frequency SIMO Measurements