no code implementations • 20 Oct 2023 • Roman Jacome, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello
The hypercomplex PR (HPR) arises in many optical imaging and computational sensing applications that usually comprise quaternion and octonion-valued signals.
2 code implementations • 29 Apr 2023 • Emmanuel Martinez, Roman Jacome, Alejandra Hernandez-Rojas, Henry Arguello
To surmount this limitation, we propose low-dimensional GAN (LD-GAN), where we train the GAN employing a low-dimensional representation of the {dataset} with the latent space of a pretrained autoencoder network.
no code implementations • 23 Mar 2023 • Roman Jacome, Edwin Vargas, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello
Our theoretical analyses show that the minimum number of samples and antennas required for perfect recovery is logarithmically dependent on the maximum of the number of radar targets and communications paths rather than their sum.
no code implementations • 24 May 2022 • Roman Jacome, Jorge Bacca, Henry Arguello
To overcome this issue, compressive spectral image fusion (CSIF) employs the projected measurements of two CSI architectures with different resolutions to estimate a high-spatial high-spectral resolution.
no code implementations • 11 Nov 2021 • Edwin Vargas, Kumar Vijay Mishra, Roman Jacome, Brian M. Sadler, Henry Arguello
When the radar receiver is not collocated with the transmitter, such as in passive or multistatic radars, the transmitted signal is also unknown apart from the target parameters.