Search Results for author: Samuel Pinilla

Found 5 papers, 0 papers with code

Power-Balanced Hybrid Optics Boosted Design for Achromatic Extended-Depth-of-Field Imaging via Optimized Mixed OTF

no code implementations9 Mar 2021 Seyyed Reza Miri Rostami, Samuel Pinilla, Igor Shevkunov, Vladimir Katkovnik, Karen Egiazarian

The simulation results also reveal that optimizing the optical power-balance, Fresnel order, and the number of levels parameters are essential for system performance attaining an improvement of up to 5dB of PSNR using the optimized OTF compared with its counterpart lensless setup.

Optics Image and Video Processing

Unique Bispectrum Inversion for Signals with Finite Spectral/Temporal Support

no code implementations11 Nov 2021 Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler

Retrieving a signal from its triple correlation spectrum, also called bispectrum, arises in a wide range of signal processing problems.

Phase Retrieval for Radar Waveform Design

no code implementations27 Jan 2022 Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello

The ability of a radar to discriminate in both range and Doppler velocity is completely characterized by the ambiguity function (AF) of its transmit waveform.

Radar waveform design Retrieval

Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging

no code implementations3 Mar 2022 Samuel Pinilla, Kumar Vijay Mishra, Igor Shevkunov, Mojtaba Soltanalian, Vladimir Katkovnik, Karen Egiazarian

Phase retrieval in optical imaging refers to the recovery of a complex signal from phaseless data acquired in the form of its diffraction patterns.

Retrieval

An Overview of Advances in Signal Processing Techniques for Classical and Quantum Wideband Synthetic Apertures

no code implementations11 May 2022 Peter Vouras, Kumar Vijay Mishra, Alexandra Artusio-Glimpse, Samuel Pinilla, Angeliki Xenaki, David W. Griffith, Karen Egiazarian

Rapid developments in synthetic aperture (SA) systems, which generate a larger aperture with greater angular resolution than is inherently possible from the physical dimensions of a single sensor alone, are leading to novel research avenues in several signal processing applications.

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