Amol G. Mahurkar — accepted AI-conference papers

2019

FirmNet: A Sparsity Amplified Deep Network for Solving Linear Inverse Problems

Praveen Kumar Pokala, Amol G. Mahurkar, Chandra Sekhar Seelamantula

ICASSP 2019accepted

Recovering a sparse signal from a noisy linear measurement is an important problem in signal processing. Typically, one employs greedy pursuit techniques such as OMP, CoSaMP to solve an ℓ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> regulariz…

Cited by 12 Source ↗Scholar ↗

2019

SAMIR: Sparsity Amplified Iteratively-reweighted Beamforming for High-rsolution Ultrasound Imaging

Amol G. Mahurkar, Praveen Kumar Pokala, Chetan Singh Thakur, Chandra Sekhar Seelamantula

ICASSP 2019accepted

In ultrasound imaging, one typically employs delay-and-sum (DAS) beamformers for image reconstruction. An apodization window is used to suppress the side-lobes of an array beam pattern. The application of an apodization window to suppress the side-lobes widens the main-lobe width. We consider a stat…

Cited by 0 Source ↗Scholar ↗