527 citations · 3.5k across the 52 of their papers we have counts for
6 papers · 1 filter
Generalized Approximate Message Passing for Cosparse Analysis Compressive Sensing
Mark Borgerding, Philip Schniter, Sundeep Rangan
In cosparse analysis compressive sensing (CS), one seeks to estimate a non-sparse signal vector from noisy sub-Nyquist linear measurements by exploiting the knowledge that a given…
In-Band Full-Duplex Wireless: Challenges and Opportunities
Ashutosh Sabharwal, Philip Schniter, Dongning Guo +3
In-band full-duplex (IBFD) operation has emerged as an attractive solution for increasing the throughput of wireless communication systems and networks. With IBFD, a wireless termi…
An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals
Jeremy Vila, Philip Schniter
We propose two novel approaches to the recovery of an (approximately) sparse signal from noisy linear measurements in the case that the signal is a priori known to be non-negative…
Bilinear Generalized Approximate Message Passing
Jason T. Parker, Philip Schniter, Volkan Cevher
We extend the generalized approximate message passing (G-AMP) approach, originally proposed for high-dimensional generalized-linear regression in the context of compressive sensing…
A Factor Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Environments
Marcel Nassar, Philip Schniter, Brian L. Evans
We propose a novel receiver for orthogonal frequency division multiplexing (OFDM) transmissions in impulsive noise environments. Impulsive noise arises in many modern wireless and…
Fixed Points of Generalized Approximate Message Passing with Arbitrary Matrices
Sundeep Rangan, Philip Schniter, Erwin Riegler +2
The estimation of a random vector with independent components passed through a linear transform followed by a componentwise (possibly nonlinear) output map arises in a range of app…