Using models to inform the field community: Far-field sea level data applications

Near-field imaging with far-field data

Using the inverse diffractive grating problem as an example, we demonstrate how a super-resolution can be achieved stably by using far-field data. The idea is to place a slab of a homogeneous medium with a large index of refraction above the grating surface, and more propagating wave modes can be utilized from the far-field data which contributes to the reconstruction resolution. © 2016 Elsevie...

The Irac Dark Field; Far- Infrared to X-ray Data

We present 20 band photometry from the far-IR to X-ray in the Spitzer IRAC dark field. The bias for the near-IR camera on Spitzer is calibrated by observing a ∼ 20 diameter “dark” field near the north ecliptic pole roughly every two-to-three weeks throughout the mission duration of Spitzer. The field is unique for its extreme depth, low background, high quality imaging, time-series information,...

Far-field Source Signature Reconstruction Using Direct Arrival Data

A direct imaging method using far-field data

We present a direct imaging algorithm for extended targets using far field data generated by incident plane waves. The algorithm uses a factorization of the response matrix for far field data that derives from physical considerations, moreover, a resolution based regularization. The algorithm is simple and efficient since no forward solver or iteration is needed. Efficiency and robustness of th...

Distilling Knowledge Using Parallel Data for Far-field Speech Recognition

In order to improve the performance for far-field speech recognition, this paper proposes to distill knowledge from the close-talking model to the far-field model using parallel data. The close-talking model is called the teacher model. The farfield model is called the student model. The student model is trained to imitate the output distributions of the teacher model. This constraint can be re...