42 citations · 133 across the 18 of their papers we have counts for
6 papers · 1 filter
Sub-Nyquist Sampling of Sparse and Correlated Signals in Array Processing
Ali Ahmed, Fahad Shamshad, Humera Hameed
This paper considers efficient sampling of simultaneously sparse and correlated (SC) signals. Such signals arise in various applications in array processing. We propose an impl…
Blind Image Deconvolution using Pretrained Generative Priors
Muhammad Asim, Fahad Shamshad, Ali Ahmed
This paper proposes a novel approach to regularize the ill-posed blind image deconvolution (blind image deblurring) problem using deep generative networks. We employ two separate d…
Bilinear Compressed Sensing under known Signs via Convex Programming
Alireza Aghasi, Ali Ahmed, Paul Hand +1
We consider the bilinear inverse problem of recovering two vectors, and , from their entrywise product. We consider…
Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming
Ali Ahmed, Alireza Aghasi, Paul Hand
We consider the task of recovering two real or complex -vectors from phaseless Fourier measurements of their circular convolution. Our method is a novel convex relaxation that i…
Invertible generative models for inverse problems: mitigating representation error and dataset bias
Muhammad Asim, Mara Daniels, Oscar Leong +2
Trained generative models have shown remarkable performance as priors for inverse problems in imaging -- for example, Generative Adversarial Network priors permit recovery of test…
Channel Protection using Random Modulation
Ali Ahmed, Humera Hameed
This paper shows that modulation protects a bandlimited signal against convolutive interference. A signal , bandlimited to Hz, is modulated (pointwise multiplied) with a k…