15 citations · 29 across the 24 of their papers we have counts for
3 papers · 1 filter
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution
Bahareh Tolooshams, Satish Mulleti, Demba Ba +1
We propose a learned-structured unfolding neural network for the problem of compressive sparse multichannel blind-deconvolution. In this problem, each channel's measurements are gi…
RaSSteR: Random Sparse Step-Frequency Radar
Kumar Vijay Mishra, Satish Mulleti, Yonina C. Eldar
We propose a method for synthesizing high range resolution profiles (HRRP) using stepped frequency waveform (SFW) processing. Conventional SFW radars sweep over the available spect…
Identifiability Conditions for Compressive Multichannel Blind Deconvolution
Satish Mulleti, Kiryung Lee, Yonina C. Eldar
In applications such as multi-receiver radars and ultrasound array systems, the observed signals can often be modeled as a linear convolution of an unknown signal which represents…