14 citations · 42 across the 23 of their papers we have counts for
4 papers · 1 filter
PROSE: Perceptual Risk Optimization for Speech Enhancement
Jishnu Sadasivan, Chandra Sekhar Seelamantula, Nagarjuna Reddy Muraka
The goal in speech enhancement is to obtain an estimate of clean speech starting from the noisy signal by minimizing a chosen distortion measure, which results in an estimate that…
A Non-Convex Optimization Technique for Sparse Blind Deconvolution -- Initialization Aspects and Error Reduction Properties
Aniruddha Adiga, Chandra Sekhar Seelamantula
Sparse blind deconvolution is the problem of estimating the blur kernel and sparse excitation, both of which are unknown. Considering a linear convolution model, as opposed to the…
Online Reweighted Least Squares Algorithm for Sparse Recovery and Application to Short-Wave Infrared Imaging
Subhadip Mukherjee, Deepak R., Huaijin Chen +2
We address the problem of sparse recovery in an online setting, where random linear measurements of a sparse signal are revealed sequentially and the objective is to recover the un…
Deep Sparse Coding Using Optimized Linear Expansion of Thresholds
Debabrata Mahapatra, Subhadip Mukherjee, Chandra Sekhar Seelamantula
We address the problem of reconstructing sparse signals from noisy and compressive measurements using a feed-forward deep neural network (DNN) with an architecture motivated by the…