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Found 5 papers, 1 papers with code
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance Regularization
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.
Joint Radar-Communications Processing from a Dual-Blind Deconvolution Perspective
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.
D$^\text{2}$UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion
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.
Multi-Antenna Dual-Blind Deconvolution for Joint Radar-Communications via SoMAN Minimization
In these passive listening outposts, the signals and channels of both radar and communications are unknown to the receiver.
An Invitation to Hypercomplex Phase Retrieval: Theory and Applications
The hypercomplex PR (HPR) arises in many optical imaging and computational sensing applications that usually comprise quaternion and octonion-valued signals.
