Philip Schniter

According to our database, Philip Schniter authored at least 146 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems.

Matthew Bendel, Rizwan Ahmad, Philip Schniter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging.

Jeffrey Wen, Rizwan Ahmad, Philip Schniter

Proceedings of the International Conference on Machine Learning, 2023

Deep Expectation-Consistent Approximation for Phase Retrieval.

Saurav K. Shastri, Rizwan Ahmad, Philip Schniter

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery.

Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter

IEEE J. Sel. Areas Inf. Theory, September, 2022

A Regularized Conditional GAN for Posterior Sampling in Inverse Problems.

Matthew Bendel, Rizwan Ahmad, Philip Schniter

CoRR, 2022

Denoising Generalized Expectation-Consistent Approximation for MRI Image Recovery.

Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter

CoRR, 2022

Expectation Consistent Plug-and-Play for MRI.

Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter

Proceedings of the IEEE International Conference on Acoustics, 2022

MRI Recovery with a Self-Calibrated Denoiser.

Sizhuo Liu, Philip Schniter, Rizwan Ahmad

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Sketching Data Sets for Large-Scale Learning: Keeping only what you need.

Rémi Gribonval, Antoine Chatalic, Nicolas Keriven, Vincent Schellekens, Laurent Jacques, Philip Schniter

IEEE Signal Process. Mag., 2021

Phase-Modulated Radar Waveform Classification Using Deep Networks.

Michael Wharton, Anne M. Pavy, Philip Schniter

CoRR, 2021

MRI Image Recovery using Damped Denoising Vector AMP.

Subrata Sarkar, Rizwan Ahmad, Philip Schniter

Proceedings of the IEEE International Conference on Acoustics, 2021

Deep Neural Networks for Radar Waveform Classification.

Michael Wharton, Anne M. Pavy, Philip Schniter

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Multi-User Detection Based on Expectation Propagation for the Non-Coherent SIMO Multiple Access Channel.

Khac-Hoang Ngo, Maxime Guillaud, Alexis Decurninge, Sheng Yang, Philip Schniter

IEEE Trans. Wirel. Commun., 2020

A Simple Derivation of AMP and its State Evolution via First-Order Cancellation.

Philip Schniter

IEEE Trans. Signal Process., 2020

Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery.

Rizwan Ahmad, Charles A. Bouman, Gregery T. Buzzard, Stanley H. Chan, Sizhuo Liu, Edward T. Reehorst, Philip Schniter

IEEE Signal Process. Mag., 2020

Inference With Deep Generative Priors in High Dimensions.

Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher

IEEE J. Sel. Areas Inf. Theory, 2020

Sketching Datasets for Large-Scale Learning (long version).

Rémi Gribonval, Antoine Chatalic, Nicolas Keriven, Vincent Schellekens, Laurent Jacques, Philip Schniter

CoRR, 2020

Inference in Multi-Layer Networks with Matrix-Valued Unknowns.

Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher

CoRR, 2020

Matrix Inference and Estimation in Multi-Layer Models.

Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Free-Breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser.

Sizhuo Liu, Edward T. Reehorst, Philip Schniter, Rizwan Ahmad

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Autotuning Plug-and-Play Algorithms for MRI.

Saurav K. Shastri, Rizwan Ahmad, Philip Schniter

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Joint Channel-Estimation/Decoding With Frequency-Selective Channels and Few-Bit ADCs.

Peng Sun, Zhongyong Wang, Robert W. Heath Jr., Philip Schniter

IEEE Trans. Signal Process., 2019

Adaptive Detection of Structured Signals in Low-Rank Interference.

Philip Schniter, Evan Byrne

IEEE Trans. Signal Process., 2019

Bilinear Recovery Using Adaptive Vector-AMP.

Subrata Sarkar, Alyson K. Fletcher, Sundeep Rangan, Philip Schniter

IEEE Trans. Signal Process., 2019

Sketched Clustering via Hybrid Approximate Message Passing.

Evan Byrne, Antoine Chatalic, Rémi Gribonval, Philip Schniter

IEEE Trans. Signal Process., 2019

On the Convergence of Approximate Message Passing With Arbitrary Matrices.

Sundeep Rangan, Philip Schniter, Alyson K. Fletcher, Subrata Sarkar

IEEE Trans. Inf. Theory, 2019

Vector Approximate Message Passing.

Sundeep Rangan, Philip Schniter, Alyson K. Fletcher

IEEE Trans. Inf. Theory, 2019

Regularization by Denoising: Clarifications and New Interpretations.

Edward T. Reehorst, Philip Schniter

IEEE Trans. Computational Imaging, 2019

Multi-User Detection Based on Expectation Propagation for the Non-Coherent SIMO Multiple Access Channel.

Khac-Hoang Ngo, Maxime Guillaud, Alexis Decurninge, Sheng Yang, Subrata Sarkar, Philip Schniter

CoRR, 2019

Plug and play methods for magnetic resonance imaging.

Rizwan Ahmad, Charles A. Bouman, Gregery T. Buzzard, Stanley H. Chan, Edward T. Reehorst, Philip Schniter

CoRR, 2019

Compressive SAR Image Recovery and Classification Via CNNS.

Michael Wharton, Edward T. Reehorst, Philip Schniter

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Non-Coherent Multi-User Detection Based on Expectation Propagation.

Khac-Hoang Ngo, Maxime Guillaud, Alexis Decurninge, Sheng Yang, Subrata Sarkar, Philip Schniter

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Joint Channel-Estimation and Equalization of Single-Carrier Systems via Bilinear AMP.

Peng Sun, Zhongyong Wang, Philip Schniter

IEEE Trans. Signal Process., 2018

Channel Estimation in Broadband Millimeter Wave MIMO Systems With Few-Bit ADCs.

Jianhua Mo, Philip Schniter, Robert W. Heath Jr.

IEEE Trans. Signal Process., 2018

A GAMP-Based Low Complexity Sparse Bayesian Learning Algorithm.

Maher Al-Shoukairi, Philip Schniter, Bhaskar D. Rao

IEEE Trans. Signal Process., 2018

Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis.

Alyson K. Fletcher, Sundeep Rangan, Subrata Sarkar, Philip Schniter

CoRR, 2018

prDeep: Robust Phase Retrieval with Flexible Deep Neural Networks.

Christopher A. Metzler, Philip Schniter, Ashok Veeraraghavan, Richard G. Baraniuk

CoRR, 2018

Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis.

Alyson K. Fletcher, Parthe Pandit, Sundeep Rangan, Subrata Sarkar, Philip Schniter

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Inference in Deep Networks in High Dimensions.

Alyson K. Fletcher, Sundeep Rangan, Philip Schniter

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

prDeep: Robust Phase Retrieval with a Flexible Deep Network.

Christopher A. Metzler, Philip Schniter, Ashok Veeraraghavan, Richard G. Baraniuk

Proceedings of the 35th International Conference on Machine Learning, 2018

An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing.

Christopher A. Metzler, Philip Schniter, Richard G. Baraniuk

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017

Hybrid Approximate Message Passing.

Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal, Evan Byrne, Philip Schniter

IEEE Trans. Signal Process., 2017

AMP-Inspired Deep Networks for Sparse Linear Inverse Problems.

Mark Borgerding, Philip Schniter, Sundeep Rangan

IEEE Trans. Signal Process., 2017

Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization.

Sundeep Rangan, Alyson K. Fletcher, Philip Schniter, Ulugbek S. Kamilov

IEEE Trans. Inf. Theory, 2017

Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems.

Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning and free energies for vector approximate message passing.

Alyson K. Fletcher, Philip Schniter

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Sketched clustering via hybrid approximate message passing.

Evan Byrne, Rémi Gribonval, Philip Schniter

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Sparse Multinomial Logistic Regression via Approximate Message Passing.

Evan Byrne, Philip Schniter

IEEE Trans. Signal Process., 2016

Fixed Points of Generalized Approximate Message Passing With Arbitrary Matrices.

Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher

IEEE Trans. Inf. Theory, 2016

A Survey of Stochastic Simulation and Optimization Methods in Signal Processing.

Marcelo Pereyra, Philip Schniter, Émilie Chouzenoux, Jean-Christophe Pesquet, Jean-Yves Tourneret, Alfred O. Hero III, Steve McLaughlin

IEEE J. Sel. Top. Signal Process., 2016

Parametric Bilinear Generalized Approximate Message Passing.

Jason T. Parker, Philip Schniter

IEEE J. Sel. Top. Signal Process., 2016

Phase diagram of matrix compressed sensing.

Christophe Schülke, Philip Schniter, Lenka Zdeborová

CoRR, 2016

Denoising based Vector Approximate Message Passing.

Philip Schniter, Sundeep Rangan, Alyson K. Fletcher

CoRR, 2016

Onsager-Corrected Deep Networks for Sparse Linear Inverse Problems.

Mark Borgerding, Philip Schniter

CoRR, 2016

Expectation consistent approximate inference: Generalizations and convergence.

Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter

Proceedings of the IEEE International Symposium on Information Theory, 2016

Onsager-corrected deep learning for sparse linear inverse problems.

Mark Borgerding, Philip Schniter

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Vector approximate message passing for the generalized linear model.

Philip Schniter, Sundeep Rangan, Alyson K. Fletcher

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Binary Linear Classification and Feature Selection via Generalized Approximate Message Passing.

Justin Ziniel, Philip Schniter, Per Sederberg

IEEE Trans. Signal Process., 2015

Compressive Phase Retrieval via Generalized Approximate Message Passing.

Philip Schniter, Sundeep Rangan

IEEE Trans. Signal Process., 2015

Hyperspectral Unmixing Via Turbo Bilinear Approximate Message Passing.

Jeremy P. Vila, Philip Schniter, Joseph Meola

IEEE Trans. Computational Imaging, 2015

Iteratively Reweighted ℓ₁ Approaches to Sparse Composite Regularization.

Rizwan Ahmad, Philip Schniter

IEEE Trans. Computational Imaging, 2015

Tutorial on Stochastic Simulation and Optimization Methods in Signal Processing.

Marcelo Pereyra, Philip Schniter, Émilie Chouzenoux, Jean-Christophe Pesquet, Jean-Yves Tourneret, Alfred O. Hero III, Steve McLaughlin

CoRR, 2015

Parametric Bilinear Generalized Approximate Message Passing.

Jason T. Parker, Yan Shou, Philip Schniter

CoRR, 2015

Adaptive damping and mean removal for the generalized approximate message passing algorithm.

Jeremy P. Vila, Philip Schniter, Sundeep Rangan, Florent Krzakala, Lenka Zdeborová

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Generalized approximate message passing for cosparse analysis compressive sensing.

Mark Borgerding, Philip Schniter, Jeremy P. Vila, Sundeep Rangan

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals.

Jeremy P. Vila, Philip Schniter

IEEE Trans. Signal Process., 2014

Bilinear Generalized Approximate Message Passing - Part II: Applications.

Jason T. Parker, Philip Schniter, Volkan Cevher

IEEE Trans. Signal Process., 2014

Bilinear Generalized Approximate Message Passing - Part I: Derivation.

Jason T. Parker, Philip Schniter, Volkan Cevher

IEEE Trans. Signal Process., 2014

A Factor Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Environments.

Marcel Nassar, Philip Schniter, Brian L. Evans

IEEE Trans. Signal Process., 2014

In-Band Full-Duplex Wireless: Challenges and Opportunities.

Ashutosh Sabharwal, Philip Schniter, Dongning Guo, Daniel W. Bliss, Sampath Rangarajan, Risto Wichman

IEEE J. Sel. Areas Commun., 2014

Guest Editorial: In-Band Full-Duplex Wireless Communications and Networks.

Ashutosh Sabharwal, Philip Schniter, Dongning Guo, Daniel W. Bliss, Sampath Rangarajan, Risto Wichman

IEEE J. Sel. Areas Commun., 2014

Binary Linear Classification and Feature Selection via Generalized Approximate Message Passing.

Justin Ziniel, Philip Schniter

CoRR, 2014

On the convergence of approximate message passing with arbitrary matrices.

Sundeep Rangan, Philip Schniter, Alyson K. Fletcher

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Channel estimation and precoder design for millimeter-wave communications: The sparse way.

Philip Schniter, Akbar M. Sayeed

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Channel estimation in millimeter wave MIMO systems with one-bit quantization.

Jianhua Mo, Philip Schniter, Nuria González Prelcic, Robert W. Heath Jr.

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

Dynamic Compressive Sensing of Time-Varying Signals Via Approximate Message Passing.

Justin Ziniel, Philip Schniter

IEEE Trans. Signal Process., 2013

Efficient High-Dimensional Inference in the Multiple Measurement Vector Problem.

Justin Ziniel, Philip Schniter

IEEE Trans. Signal Process., 2013

Expectation-Maximization Gaussian-Mixture Approximate Message Passing.

Jeremy P. Vila, Philip Schniter

IEEE Trans. Signal Process., 2013

On the Design of Large Scale Wireless Systems.

Rohit Aggarwal, Can Emre Koksal, Philip Schniter

IEEE J. Sel. Areas Commun., 2013

Bilinear Generalized Approximate Message Passing.

Jason T. Parker, Philip Schniter, Volkan Cevher

CoRR, 2013

Generalized Approximate Message Passing for the Cosparse Analysis Model.

Mark Borgerding, Philip Schniter

CoRR, 2013

A factor-graph approach to joint OFDM channel estimation and decoding in impulsive noise channels.

Marcel Nassar, Phil Schniter, Brian L. Evans

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012

Compressive Imaging Using Approximate Message Passing and a Markov-Tree Prior.

Subhojit Som, Philip Schniter

IEEE Trans. Signal Process., 2012

Robust Rate-Adaptive Wireless Communication Using ACK/NAK-Feedback.

Can Emre Koksal, Philip Schniter

IEEE Trans. Signal Process., 2012

Full-Duplex Bidirectional MIMO: Achievable Rates Under Limited Dynamic Range.

Brian P. Day, Adam R. Margetts, Daniel W. Bliss, Philip Schniter

IEEE Trans. Signal Process., 2012

Joint Scheduling and Resource Allocation in OFDMA Downlink Systems Via ACK/NAK Feedback.

Rohit Aggarwal, Can Emre Koksal, Philip Schniter

IEEE Trans. Signal Process., 2012

Multiuser Scheduling in a Markov-Modeled Downlink Using Randomly Delayed ARQ Feedback.

Sugumar Murugesan, Philip Schniter, Ness B. Shroff

IEEE Trans. Inf. Theory, 2012

Belief-propagation-based joint channel estimation and decoding for spectrally efficient communication over unknown sparse channels.

Philip Schniter

Phys. Commun., 2012

Full-Duplex MIMO Relaying: Achievable Rates Under Limited Dynamic Range.

Brian P. Day, Adam R. Margetts, Daniel W. Bliss, Philip Schniter

IEEE J. Sel. Areas Commun., 2012

A generalized framework for learning and recovery of structured sparse signals.

Justin Ziniel, Sundeep Rangan, Philip Schniter

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Hybrid generalized approximate message passing with applications to structured sparsity.

Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal, Philip Schniter

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Performance bounds and associated design principles for multi-cellular wireless OFDMA systems.

Rohit Aggarwal, Can Emre Koksal, Philip Schniter

Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Hardware phenomenological effects on cochannel full-duplex MIMO relay performance.

Daniel W. Bliss, Timothy M. Hancock, Philip Schniter

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011

Joint Scheduling and Resource Allocation in the OFDMA Downlink: Utility Maximization Under Imperfect Channel-State Information.

Rohit Aggarwal, Mohamad Assaad, Can Emre Koksal, Philip Schniter

IEEE Trans. Signal Process., 2011

On Communication Over Unknown Sparse Frequency-Selective Block-Fading Channels.

Arun Pachai Kannu, Philip Schniter

IEEE Trans. Inf. Theory, 2011

A Message-Passing Receiver for BICM-OFDM Over Unknown Clustered-Sparse Channels.

Philip Schniter

IEEE J. Sel. Top. Signal Process., 2011

Hybrid Approximate Message Passing with Applications to Structured Sparsity

Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal, Philip Schniter

CoRR, 2011

Scaling Laws and Design Principles for Multi-Cellular Wireless OFDMA Systems

Rohit Aggarwal, Can Emre Koksal, Philip Schniter

CoRR, 2011

Exploiting structured sparsity in Bayesian experimental design.

Philip Schniter

Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Efficient message passing-based inference in the multiple measurement vector problem.

Justin Ziniel, Philip Schniter

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Expectation-maximization Bernoulli-Gaussian approximate message passing.

Jeremy P. Vila, Philip Schniter

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Session TP8b1: Machine-learning-based statistical signal processing.

Phil Schniter

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Session TP3a: Multi-dimensional compressive inference.

Phil Schniter

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Compressive sensing under matrix uncertainties: An Approximate Message Passing approach.

Jason T. Parker, Volkan Cevher, Philip Schniter

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

On the spectral efficiency of noncoherent doubly selective block-fading channels.

Arun Pachai Kannu, Philip Schniter

IEEE Trans. Inf. Theory, 2010

Optimal Joint Scheduling and Resource Allocation in OFDMA Downlink Systems with Imperfect Channel-State Information

Rohit Aggarwal, Mohamad Assaad, Can Emre Koksal, Philip Schniter

CoRR, 2010

Turbo reconstruction of structured sparse signals.

Philip Schniter

Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

Throughput/energy aware opportunistic transmission control in broadcast networks.

Sugumar Murugesan, Philip Schniter, Ness B. Shroff

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009

Rate Adaptation via Link-Layer Feedback for Goodput Maximization over a Time-Varying Channel.

Rohit Aggarwal, Philip Schniter, Can Emre Koksal

IEEE Trans. Wirel. Commun., 2009

Non-Bayesian Rate-Adaptive Wireless Communication Using ARQ-Feedback

Can Emre Koksal, Philip Schniter

CoRR, 2009

Opportunistic Multiuser Scheduling in a Three State Markov-modeled Downlink

Sugumar Murugesan, Philip Schniter

CoRR, 2009

Joint Opportunistic Scheduling in Multi-Cellular Systems

Sugumar Murugesan, Philip Schniter

CoRR, 2009

2008

Iterative frequency-domain channel estimation and equalization for single-carrier transmissions without cyclic-prefix.

Hong Liu, Philip Schniter

IEEE Trans. Wirel. Commun., 2008

Design and Analysis of MMSE Pilot-Aided Cyclic-Prefixed Block Transmissions for Doubly Selective Channels.

Arun Pachai Kannu, Philip Schniter

IEEE Trans. Signal Process., 2008

On the Optimality of the ARQ-DDF Protocol.

Kambiz Azarian, Hesham El Gamal, Philip Schniter

IEEE Trans. Inf. Theory, 2008

Efficient Multicarrier Communication for Highly Spread Underwater Acoustic Channels.

Sung-Jun Hwang, Philip Schniter

IEEE J. Sel. Areas Commun., 2008

Multiuser scheduling in a Markov-modeled downlink environment.

Sugumar Murugesan, Philip Schniter, Ness B. Shroff

Proceedings of the 46th Annual Allerton Conference on Communication, 2008

A fast posterior update for sparse underdetermined linear models.

Lee C. Potter, Philip Schniter, Justin Ziniel

Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007

Joint scale-lag diversity in wideband mobile direct sequence spread spectrum systems.

Adam R. Margetts, Philip Schniter, Ananthram Swami

IEEE Trans. Wirel. Commun., 2007

Max-SINR ISI/ICI-Shaping Multicarrier Communication Over the Doubly Dispersive Channel.

Sibasish Das, Philip Schniter

IEEE Trans. Signal Process., 2007

Optimization of Training and Scheduling in the Non-Coherent SIMO Multiple Access Channel.

Sugumar Murugesan, Elif Uysal-Biyikoglu, Philip Schniter

IEEE J. Sel. Areas Commun., 2007

Efficient communication over highly spread underwater acoustic channels.

Sung-Jun Hwang, Philip Schniter

Proceedings of the Second Workshop on Underwater Networks, 2007

2006

Efficient Sequence Detection of Multicarrier Transmissions over Doubly Dispersive Channels.

Sung-Jun Hwang, Philip Schniter

EURASIP J. Adv. Signal Process., 2006

On Doubly Dispersive Channel Estimation for Pilot-Aided Pulse-Shaped Multi-Carrier Modulation.

Philip Schniter

Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006

Minimum Mean-Squared Error Pilot-Aided Transmission for MIMO Doubly Selective Channels.

Arun Pachai Kannu, Philip Schniter

Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006

2005

Adaptive chip-rate equalization of downlink multirate wideband CDMA.

Adam R. Margetts, Philip Schniter

IEEE Trans. Signal Process., 2005

On the achievable diversity-multiplexing tradeoff in half-duplex cooperative channels.

Kambiz Azarian, Hesham El Gamal, Philip Schniter

IEEE Trans. Inf. Theory, 2005

On the Achievable Diversity-Multiplexing Tradeoffs in Half-Duplex Cooperative Channels

Kambiz Azarian, Hesham El Gamal, Philip Schniter

CoRR, 2005

Scale-lag diversity reception in mobile wideband channels.

Adam R. Margetts, Philip Schniter, Ananthram Swami

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

MSE-optimal training for linear time-varying channels.

Arun Pachai Kannu, Philip Schniter

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

On the robustness of decision-feedback detection of DPSK and differential unitary space-time modulation in Rayleigh-fading channels.

Bijoy Bhukania, Philip Schniter

IEEE Trans. Wirel. Commun., 2004

Low-complexity equalization of OFDM in doubly selective channels.

Philip Schniter

IEEE Trans. Signal Process., 2004

Subspace leaky LMS.

Brian D. Rigling, Philip Schniter

IEEE Signal Process. Lett., 2004

Achievable diversity-vs-multiplexing tradeoffs in half-duplex cooperative channels.

Kambiz Azarian, Hesham El Gamal, Philip Schniter

Proceedings of the 2004 IEEE Information Theory Workshop, 2004

On the design of non-(bi)orthogonal pulse-shaped FDM for doubly-dispersive channels.

Philip Schniter

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003

Low-complexity receiver for OFDM in doubly-selective channels.

Philip Schniter

Proceedings of the Global Telecommunications Conference, 2003

2002

On the equivalence of three reduced rank linear estimators with applications to DS-CDMA.

Wanshi Chen, Urbashi Mitra, Philip Schniter

IEEE Trans. Inf. Theory, 2002

Connexions: DSP education for a networked world.

Richard G. Baraniuk, C. Sidney Burrus, B. M. Hendricks, G. L. Henry, Alfred O. Hero III, Don H. Johnson, Douglas L. Jones, Julius Kusuma, Robert D. Nowak, J. E. Odegard, Lee C. Potter, Kannan Ramchandran, R. J. Reedstrom, Philip Schniter, Ivan W. Selesnick, Douglas B. Williams, W. L. Wilson

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

Existence and performance of Shalvi-Weinstein estimators.

Philip Schniter, Lang Tong

IEEE Trans. Signal Process., 2001

Performance analysis of Godard-based blind channel identification.

Philip Schniter, Raúl A. Casas, Azzédine Touzni, C. Richard Johnson Jr.

IEEE Trans. Signal Process., 2001

2000

Sufficient conditions for the local convergence of constant modulus algorithms.

Philip Schniter, C. Richard Johnson Jr.

IEEE Trans. Signal Process., 2000

Bounds for the MSE performance of constant modulus estimators.

Philip Schniter, C. Richard Johnson Jr.

IEEE Trans. Inf. Theory, 2000

1999

Dithered signed-error CMA: robust, computationally efficient blind adaptive equalization.

Philip Schniter, C. Richard Johnson Jr.

IEEE Trans. Signal Process., 1999

SINR-based sufficient conditions for CMA desired-user-lock.

Philip Schniter, C. Richard Johnson Jr.

Proceedings of the 1999 IEEE Wireless Communications and Networking Conference, 1999

1998

Blind equalization using the constant modulus criterion: a review.

C. Richard Johnson Jr., Philip Schniter, Thomas J. Endres, James D. Behm, Donald Richard Brown, Raúl A. Casas

Proc. IEEE, 1998

The dithered signed-error constant modulus algorithm.

Philip Schniter, C. Richard Johnson Jr.

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998