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Philip Schniter
Phil Schniter
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2020 – today
- 2024
- [c70]Xuan Lei, Philip Schniter, Chong Chen, Muhammad Ahmad Sultan, Rizwan Ahmad:
Surface Coil Intensity Correction for MRI. ISBI 2024: 1-5 - [i70]Jeffrey Wen, Rizwan Ahmad, Philip Schniter:
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction. CoRR abs/2405.18527 (2024) - [i69]Saurav K. Shastri, Philip Schniter:
Fast and Robust Phase Retrieval via Deep Expectation-Consistent Approximation. CoRR abs/2407.09687 (2024) - 2023
- [c69]Saurav K. Shastri, Rizwan Ahmad, Philip Schniter:
Deep Expectation-Consistent Approximation for Phase Retrieval. ACSSC 2023: 910-914 - [c68]Jeffrey Wen, Rizwan Ahmad, Philip Schniter:
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging. ICML 2023: 36926-36939 - [c67]Matthew Bendel, Rizwan Ahmad, Philip Schniter:
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems. NeurIPS 2023 - [i68]Jeffrey Wen, Rizwan Ahmad, Philip Schniter:
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging. CoRR abs/2306.01630 (2023) - 2022
- [j69]Saurav K. Shastri
, Rizwan Ahmad, Christopher A. Metzler
Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery. IEEE J. Sel. Areas Inf. Theory 3(3): 528-542 (2022) - [c66]Sizhuo Liu, Philip Schniter, Rizwan Ahmad:
MRI Recovery with a Self-Calibrated Denoiser. ICASSP 2022: 1351-1355 - [c65]Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter:
Expectation Consistent Plug-and-Play for MRI. ICASSP 2022: 8667-8671 - [i67]Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter:
Expectation Consistent Plug-and-Play for MRI. CoRR abs/2202.05820 (2022) - [i66]Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter:
Denoising Generalized Expectation-Consistent Approximation for MRI Image Recovery. CoRR abs/2206.05049 (2022) - [i65]Matthew Bendel, Rizwan Ahmad, Philip Schniter:
A Regularized Conditional GAN for Posterior Sampling in Inverse Problems. CoRR abs/2210.13389 (2022) - 2021
- [j68]Rémi Gribonval
Sketching Data Sets for Large-Scale Learning: Keeping only what you need. IEEE Signal Process. Mag. 38(5): 12-36 (2021) - [c64]Michael Wharton, Anne M. Pavy, Philip Schniter:
Deep Neural Networks for Radar Waveform Classification. ACSCC 2021: 1623-1627 - [c63]Subrata Sarkar, Rizwan Ahmad, Philip Schniter:
MRI Image Recovery using Damped Denoising Vector AMP. ICASSP 2021: 8108-8112 - [i64]Michael Wharton, Anne M. Pavy, Philip Schniter:
Phase-Modulated Radar Waveform Classification Using Deep Networks. CoRR abs/2102.07827 (2021) - 2020
- [j67]Parthe Pandit
Inference With Deep Generative Priors in High Dimensions. IEEE J. Sel. Areas Inf. Theory 1(1): 336-347 (2020) - [j66]Rizwan Ahmad, Charles A. Bouman
Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery. IEEE Signal Process. Mag. 37(1): 105-116 (2020) - [j65]Philip Schniter
A Simple Derivation of AMP and its State Evolution via First-Order Cancellation. IEEE Trans. Signal Process. 68: 4283-4292 (2020) - [j64]Khac-Hoang Ngo
Multi-User Detection Based on Expectation Propagation for the Non-Coherent SIMO Multiple Access Channel. IEEE Trans. Wirel. Commun. 19(9): 6145-6161 (2020) - [c62]Saurav K. Shastri, Rizwan Ahmad, Philip Schniter:
Autotuning Plug-and-Play Algorithms for MRI. ACSSC 2020: 1400-1404 - [c61]Philip Schniter:
A Simple Derivation of AMP and its State Evolution via First-Order Cancellation. ICASSP 2020: 9105-9109 - [c60]Sizhuo Liu, Edward T. Reehorst, Philip Schniter, Rizwan Ahmad:
Free-Breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser. ISBI 2020: 1748-1751 - [c59]Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher:
Matrix Inference and Estimation in Multi-Layer Models. NeurIPS 2020 - [i63]Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher:
Inference in Multi-Layer Networks with Matrix-Valued Unknowns. CoRR abs/2001.09396 (2020) - [i62]Sizhuo Liu, Edward T. Reehorst, Philip Schniter, Rizwan Ahmad:
Free-breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser. CoRR abs/2002.03226 (2020) - [i61]Rémi Gribonval, Antoine Chatalic, Nicolas Keriven
Sketching Datasets for Large-Scale Learning (long version). CoRR abs/2008.01839 (2020) - [i60]Subrata Sarkar, Rizwan Ahmad, Philip Schniter:
MRI Image Recovery using Damped Denoising Vector AMP. CoRR abs/2010.11321 (2020) - [i59]Saurav K. Shastri, Rizwan Ahmad, Philip Schniter:
Autotuning Plug-and-Play Algorithms for MRI. CoRR abs/2012.00887 (2020)
2010 – 2019
- 2019
- [j63]Edward T. Reehorst
Regularization by Denoising: Clarifications and New Interpretations. IEEE Trans. Computational Imaging 5(1): 52-67 (2019) - [j62]Sundeep Rangan
On the Convergence of Approximate Message Passing With Arbitrary Matrices. IEEE Trans. Inf. Theory 65(9): 5339-5351 (2019) - [j61]Sundeep Rangan
Vector Approximate Message Passing. IEEE Trans. Inf. Theory 65(10): 6664-6684 (2019) - [j60]Peng Sun
Joint Channel-Estimation/Decoding With Frequency-Selective Channels and Few-Bit ADCs. IEEE Trans. Signal Process. 67(4): 899-914 (2019) - [j59]Subrata Sarkar
Bilinear Recovery Using Adaptive Vector-AMP. IEEE Trans. Signal Process. 67(13): 3383-3396 (2019) - [j58]Philip Schniter
Adaptive Detection of Structured Signals in Low-Rank Interference. IEEE Trans. Signal Process. 67(13): 3439-3454 (2019) - [j57]Evan Byrne, Antoine Chatalic
Sketched Clustering via Hybrid Approximate Message Passing. IEEE Trans. Signal Process. 67(17): 4556-4569 (2019) - [c58]Michael Wharton, Edward T. Reehorst, Philip Schniter:
Compressive SAR Image Recovery and Classification Via CNNS. ACSSC 2019: 1081-1085 - [c57]Khac-Hoang Ngo
Non-Coherent Multi-User Detection Based on Expectation Propagation. ACSSC 2019: 2092-2096 - [i58]Rizwan Ahmad, Charles A. Bouman, Gregery T. Buzzard, Stanley H. Chan, Edward T. Reehorst, Philip Schniter:
Plug and play methods for magnetic resonance imaging. CoRR abs/1903.08616 (2019) - [i57]Khac-Hoang Ngo, Maxime Guillaud, Alexis Decurninge, Sheng Yang, Subrata Sarkar, Philip Schniter:
Multi-User Detection Based on Expectation Propagation for the Non-Coherent SIMO Multiple Access Channel. CoRR abs/1905.11152 (2019) - [i56]Philip Schniter:
A Simple Derivation of AMP and its State Evolution via First-Order Cancellation. CoRR abs/1907.04235 (2019) - [i55]Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher:
Inference with Deep Generative Priors in High Dimensions. CoRR abs/1911.03409 (2019) - 2018
- [j56]Maher Al-Shoukairi
A GAMP-Based Low Complexity Sparse Bayesian Learning Algorithm. IEEE Trans. Signal Process. 66(2): 294-308 (2018) - [j55]Jianhua Mo, Philip Schniter
Channel Estimation in Broadband Millimeter Wave MIMO Systems With Few-Bit ADCs. IEEE Trans. Signal Process. 66(5): 1141-1154 (2018) - [j54]Peng Sun
Joint Channel-Estimation and Equalization of Single-Carrier Systems via Bilinear AMP. IEEE Trans. Signal Process. 66(10): 2772-2785 (2018) - [c56]Philip Schniter, Evan Byrne:
Adaptive Detection of Structured Signals in Low-Rank Interference. ACSSC 2018: 1810-1814 - [c55]Christopher A. Metzler, Philip Schniter, Richard G. Baraniuk:
An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing. LVA/ICA 2018: 395-406 - [c54]Christopher A. Metzler, Philip Schniter, Ashok Veeraraghavan
prDeep: Robust Phase Retrieval with a Flexible Deep Network. ICML 2018: 3498-3507 - [c53]Alyson K. Fletcher, Sundeep Rangan, Philip Schniter
Inference in Deep Networks in High Dimensions. ISIT 2018: 1884-1888 - [c52]Alyson K. Fletcher, Parthe Pandit, Sundeep Rangan, Subrata Sarkar, Philip Schniter:
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. NeurIPS 2018: 7451-7460 - [i54]Christopher A. Metzler, Philip Schniter, Ashok Veeraraghavan
prDeep: Robust Phase Retrieval with Flexible Deep Neural Networks. CoRR abs/1803.00212 (2018) - [i53]Edward T. Reehorst, Philip Schniter:
Regularization by Denoising: Clarifications and New Interpretations. CoRR abs/1806.02296 (2018) - [i52]Christopher A. Metzler, Philip Schniter, Richard G. Baraniuk:
An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing. CoRR abs/1806.10079 (2018) - [i51]Alyson K. Fletcher, Sundeep Rangan, Subrata Sarkar, Philip Schniter:
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. CoRR abs/1806.10466 (2018) - [i50]Peng Sun, Zhongyong Wang, Robert W. Heath Jr., Philip Schniter:
Joint Channel-Estimation/Decoding with Frequency-Selective Channels and Few-Bit ADCs. CoRR abs/1807.02494 (2018) - [i49]Evan Byrne, Philip Schniter:
Adaptive Detection of Structured Signals in Low-Rank Interference. CoRR abs/1808.05650 (2018) - [i48]Subrata Sarkar, Alyson K. Fletcher, Sundeep Rangan, Philip Schniter:
Bilinear Recovery using Adaptive Vector-AMP. CoRR abs/1809.00024 (2018) - 2017
- [j53]Sundeep Rangan, Alyson K. Fletcher, Philip Schniter
Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization. IEEE Trans. Inf. Theory 63(1): 676-697 (2017) - [j52]Mark Borgerding, Philip Schniter
AMP-Inspired Deep Networks for Sparse Linear Inverse Problems. IEEE Trans. Signal Process. 65(16): 4293-4308 (2017) - [j51]Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal
Hybrid Approximate Message Passing. IEEE Trans. Signal Process. 65(17): 4577-4592 (2017) - [c51]Evan Byrne, Rémi Gribonval, Philip Schniter:
Sketched clustering via hybrid approximate message passing. ACSSC 2017: 410-414 - [c50]Peng Sun
Joint channel-estimation/decoding with frequency-selective channels and few-bit ADCs. ACSSC 2017: 1824-1828 - [c49]Alyson K. Fletcher, Philip Schniter
Learning and free energies for vector approximate message passing. ICASSP 2017: 4247-4251 - [c48]Sundeep Rangan, Philip Schniter
Vector approximate message passing. ISIT 2017: 1588-1592 - [c47]Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter:
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems. NIPS 2017: 2545-2554 - [i47]Maher Al-Shoukairi, Philip Schniter, Bhaskar D. Rao:
A GAMP Based Low Complexity Sparse Bayesian Learning Algorithm. CoRR abs/1703.03044 (2017) - [i46]Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Philip Schniter, Sundeep Rangan:
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems. CoRR abs/1706.06054 (2017) - [i45]Evan Byrne, Rémi Gribonval, Philip Schniter:
Sketched Clustering via Hybrid Approximate Message Passing. CoRR abs/1712.02849 (2017) - 2016
- [j50]Marcelo Pereyra, Philip Schniter
A Survey of Stochastic Simulation and Optimization Methods in Signal Processing. IEEE J. Sel. Top. Signal Process. 10(2): 224-241 (2016) - [j49]Jason T. Parker, Philip Schniter
Parametric Bilinear Generalized Approximate Message Passing. IEEE J. Sel. Top. Signal Process. 10(4): 795-808 (2016) - [j48]Sundeep Rangan, Philip Schniter
Fixed Points of Generalized Approximate Message Passing With Arbitrary Matrices. IEEE Trans. Inf. Theory 62(12): 7464-7474 (2016) - [j47]Evan Byrne, Philip Schniter
Sparse Multinomial Logistic Regression via Approximate Message Passing. IEEE Trans. Signal Process. 64(21): 5485-5498 (2016) - [c46]Philip Schniter
Vector approximate message passing for the generalized linear model. ACSSC 2016: 1525-1529 - [c45]Mark Borgerding, Philip Schniter:
Onsager-corrected deep learning for sparse linear inverse problems. GlobalSIP 2016: 227-231 - [c44]Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter
Expectation consistent approximate inference: Generalizations and convergence. ISIT 2016: 190-194 - [i44]Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter:
Expectation Consistent Approximate Inference: Generalizations and Convergence. CoRR abs/1602.07795 (2016) - [i43]Christophe Schülke, Philip Schniter, Lenka Zdeborová:
Phase diagram of matrix compressed sensing. CoRR abs/1606.08496 (2016) - [i42]Mark Borgerding, Philip Schniter:
Onsager-corrected deep learning for sparse linear inverse problems. CoRR abs/1607.05966 (2016) - [i41]Jianhua Mo, Philip Schniter, Robert W. Heath Jr.:
Channel Estimation in Broadband Millimeter Wave MIMO Systems with Few-Bit ADCs. CoRR abs/1610.02735 (2016) - [i40]Sundeep Rangan, Philip Schniter, Alyson K. Fletcher:
Vector Approximate Message Passing. CoRR abs/1610.03082 (2016) - [i39]Philip Schniter, Sundeep Rangan, Alyson K. Fletcher:
Denoising based Vector Approximate Message Passing. CoRR abs/1611.01376 (2016) - [i38]Mark Borgerding, Philip Schniter:
Onsager-Corrected Deep Networks for Sparse Linear Inverse Problems. CoRR abs/1612.01183 (2016) - [i37]Philip Schniter, Sundeep Rangan, Alyson K. Fletcher:
Vector Approximate Message Passing for the Generalized Linear Model. CoRR abs/1612.01186 (2016) - 2015
- [j46]Jeremy P. Vila, Philip Schniter
Hyperspectral Unmixing Via Turbo Bilinear Approximate Message Passing. IEEE Trans. Computational Imaging 1(3): 143-158 (2015) - [j45]Rizwan Ahmad, Philip Schniter
Iteratively Reweighted ℓ1 Approaches to Sparse Composite Regularization. IEEE Trans. Computational Imaging 1(4): 220-235 (2015) - [j44]Philip Schniter
Compressive Phase Retrieval via Generalized Approximate Message Passing. IEEE Trans. Signal Process. 63(4): 1043-1055 (2015) - [j43]Justin Ziniel, Philip Schniter
Binary Linear Classification and Feature Selection via Generalized Approximate Message Passing. IEEE Trans. Signal Process. 63(8): 2020-2032 (2015) - [c43]Jeremy P. Vila, Philip Schniter
Adaptive damping and mean removal for the generalized approximate message passing algorithm. ICASSP 2015: 2021-2025 - [c42]Mark Borgerding, Philip Schniter
Generalized approximate message passing for cosparse analysis compressive sensing. ICASSP 2015: 3756-3760 - [c41]Sundeep Rangan, Alyson K. Fletcher, Philip Schniter, Ulugbek S. Kamilov:
Inference for Generalized Linear Models via alternating directions and Bethe Free Energy minimization. ISIT 2015: 1640-1644 - [i36]Sundeep Rangan, Alyson K. Fletcher, Philip Schniter, Ulugbek Kamilov:
Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization. CoRR abs/1501.01797 (2015) - [i35]Jeremy P. Vila, Philip Schniter, Joseph Meola:
Hyperspectral Unmixing via Turbo Bilinear Approximate Message Passing. CoRR abs/1502.06435 (2015) - [i34]Rizwan Ahmad, Philip Schniter:
Iteratively Reweighted ℓ1 Approaches to Sparse Composite Regularization. CoRR abs/1504.05110 (2015) - [i33]Marcelo Pereyra, Philip Schniter, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Yves Tourneret, Alfred O. Hero III, Steve McLaughlin
Tutorial on Stochastic Simulation and Optimization Methods in Signal Processing. CoRR abs/1505.00273 (2015) - [i32]Jason T. Parker, Yan Shou, Philip Schniter:
Parametric Bilinear Generalized Approximate Message Passing. CoRR abs/1508.07575 (2015) - [i31]Evan Byrne, Philip Schniter:
Sparse Multinomial Logistic Regression via Approximate Message Passing. CoRR abs/1509.04491 (2015) - 2014
- [j42]Ashutosh Sabharwal, Philip Schniter
Guest Editorial: In-Band Full-Duplex Wireless Communications and Networks. IEEE J. Sel. Areas Commun. 32(9): 1633-1636 (2014) - [j41]Ashutosh Sabharwal, Philip Schniter
In-Band Full-Duplex Wireless: Challenges and Opportunities. IEEE J. Sel. Areas Commun. 32(9): 1637-1652 (2014) - [j40]Marcel Nassar, Philip Schniter
A Factor Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Environments. IEEE Trans. Signal Process. 62(6): 1576-1589 (2014) - [j39]Jeremy P. Vila, Philip Schniter
An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals. IEEE Trans. Signal Process. 62(18): 4689-4703 (2014) - [j38]Jason T. Parker, Philip Schniter
Bilinear Generalized Approximate Message Passing - Part I: Derivation. IEEE Trans. Signal Process. 62(22): 5839-5853 (2014) - [j37]Jason T. Parker, Philip Schniter
Bilinear Generalized Approximate Message Passing - Part II: Applications. IEEE Trans. Signal Process. 62(22): 5854-5867 (2014) - [c40]Philip Schniter
Channel estimation and precoder design for millimeter-wave communications: The sparse way. ACSSC 2014: 273-277 - [c39]Jianhua Mo
Channel estimation in millimeter wave MIMO systems with one-bit quantization. ACSSC 2014: 957-961 - [c38]Justin Ziniel, Philip Schniter, Per Sederberg:
Binary linear classification and feature selection via generalized approximate message passing. CISS 2014: 1-6 - [c37]Sundeep Rangan, Philip Schniter, Alyson K. Fletcher:
On the convergence of approximate message passing with arbitrary matrices. ISIT 2014: 236-240 - [i30]Justin Ziniel, Philip Schniter:
Binary Linear Classification and Feature Selection via Generalized Approximate Message Passing. CoRR abs/1401.0872 (2014) - [i29]Sundeep Rangan, Philip Schniter, Alyson K. Fletcher:
On the Convergence of Approximate Message Passing with Arbitrary Matrices. CoRR abs/1402.3210 (2014) - [i28]Philip Schniter, Sundeep Rangan:
Compressive Phase Retrieval via Generalized Approximate Message Passing. CoRR abs/1405.5618 (2014) - [i27]Jeremy P. Vila, Philip Schniter, Sundeep Rangan, Florent Krzakala, Lenka Zdeborová:
Adaptive Damping and Mean Removal for the Generalized Approximate Message Passing Algorithm. CoRR abs/1412.2005 (2014) - 2013
- [j36]Rohit Aggarwal, Can Emre Koksal, Philip Schniter
On the Design of Large Scale Wireless Systems. IEEE J. Sel. Areas Commun. 31(2): 215-225 (2013) - [j35]Justin Ziniel, Philip Schniter
Efficient High-Dimensional Inference in the Multiple Measurement Vector Problem. IEEE Trans. Signal Process. 61(2): 340-354 (2013) - [j34]Jeremy P. Vila, Philip Schniter
Expectation-Maximization Gaussian-Mixture Approximate Message Passing. IEEE Trans. Signal Process. 61(19): 4658-4672 (2013) - [j33]Justin Ziniel, Philip Schniter
Dynamic Compressive Sensing of Time-Varying Signals Via Approximate Message Passing. IEEE Trans. Signal Process. 61(21): 5270-5284 (2013) - [c36]Marcel Nassar, Phil Schniter, Brian L. Evans:
A factor-graph approach to joint OFDM channel estimation and decoding in impulsive noise channels. ACSSC 2013: 1929-1933 - [c35]Jeremy P. Vila, Philip Schniter:
An empirical-bayes approach to recovering linearly constrained non-negative sparse signals. CAMSAP 2013: 5-8 - [c34]Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher
Fixed points of generalized approximate message passing with arbitrary matrices. ISIT 2013: 664-668 - [i26]Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher:
Fixed Points of Generalized Approximate Message Passing with Arbitrary Matrices. CoRR abs/1301.6295 (2013) - [i25]Marcel Nassar, Philip Schniter, Brian L. Evans:
A Factor Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Environments. CoRR abs/1306.1851 (2013) - [i24]Jason T. Parker, Philip Schniter, Volkan Cevher:
Bilinear Generalized Approximate Message Passing. CoRR abs/1310.2632 (2013) - [i23]Jeremy P. Vila, Philip Schniter:
An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals. CoRR abs/1310.2806 (2013) - [i22]Ashutosh Sabharwal, Philip Schniter, Dongning Guo, Daniel W. Bliss, Sampath Rangarajan, Risto Wichman:
In-band Full-duplex Wireless: Challenges and Opportunities. CoRR abs/1311.0456 (2013) - [i21]Mark Borgerding, Philip Schniter:
Generalized Approximate Message Passing for the Cosparse Analysis Model. CoRR abs/1312.3968 (2013) - 2012
- [j32]Brian P. Day, Adam R. Margetts, Daniel W. Bliss, Philip Schniter
Full-Duplex MIMO Relaying: Achievable Rates Under Limited Dynamic Range. IEEE J. Sel. Areas Commun. 30(8): 1541-1553 (2012) - [j31]Philip Schniter:
Belief-propagation-based joint channel estimation and decoding for spectrally efficient communication over unknown sparse channels. Phys. Commun. 5(2): 91-101 (2012) - [j30]Sugumar Murugesan, Philip Schniter
Multiuser Scheduling in a Markov-Modeled Downlink Using Randomly Delayed ARQ Feedback. IEEE Trans. Inf. Theory 58(2): 1025-1042 (2012) - [j29]Can Emre Koksal, Philip Schniter
Robust Rate-Adaptive Wireless Communication Using ACK/NAK-Feedback. IEEE Trans. Signal Process. 60(4): 1752-1765 (2012) - [j28]Rohit Aggarwal, Can Emre Koksal, Philip Schniter
Joint Scheduling and Resource Allocation in OFDMA Downlink Systems Via ACK/NAK Feedback. IEEE Trans. Signal Process. 60(6): 3217-3227 (2012) - [j27]Subhojit Som, Philip Schniter
Compressive Imaging Using Approximate Message Passing and a Markov-Tree Prior. IEEE Trans. Signal Process. 60(7): 3439-3448 (2012) - [j26]Brian P. Day, Adam R. Margetts, Daniel W. Bliss, Philip Schniter
Full-Duplex Bidirectional MIMO: Achievable Rates Under Limited Dynamic Range. IEEE Trans. Signal Process. 60(7): 3702-3713 (2012) - [c33]Daniel W. Bliss, Timothy M. Hancock
Hardware phenomenological effects on cochannel full-duplex MIMO relay performance. ACSCC 2012: 34-39 - [c32]Brian P. Day, Adam R. Margetts, Daniel W. Bliss, Philip Schniter:
Full-duplex MIMO relaying: Achievable rates under limited dynamic range. ACSCC 2012: 1290-1294 - [c31]Philip Schniter, Sundeep Rangan:
Compressive phase retrieval via generalized approximate message passing. Allerton Conference 2012: 815-822 - [c30]Jeremy P. Vila, Philip Schniter:
Expectation-maximization Gaussian-mixture approximate message passing. CISS 2012: 1-6 - [c29]Rohit Aggarwal, Can Emre Koksal, Philip Schniter
Performance bounds and associated design principles for multi-cellular wireless OFDMA systems. INFOCOM 2012: 1089-1097 - [c28]Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal
Hybrid generalized approximate message passing with applications to structured sparsity. ISIT 2012: 1236-1240 - [c27]Justin Ziniel, Sundeep Rangan, Philip Schniter
A generalized framework for learning and recovery of structured sparse signals. SSP 2012: 325-328 - [i20]Rohit Aggarwal, Can Emre Koksal, Philip Schniter:
On the Design of Large Scale Wireless Systems. CoRR abs/1202.0135 (2012) - [i19]Justin Ziniel, Philip Schniter:
Dynamic Compressive Sensing of Time-Varying Signals via Approximate Message Passing. CoRR abs/1205.4080 (2012) - [i18]Jeremy P. Vila, Philip Schniter:
Expectation-Maximization Gaussian-Mixture Approximate Message Passing. CoRR abs/1207.3107 (2012) - 2011
- [j25]Philip Schniter
A Message-Passing Receiver for BICM-OFDM Over Unknown Clustered-Sparse Channels. IEEE J. Sel. Top. Signal Process. 5(8): 1462-1474 (2011) - [j24]Arun Pachai Kannu, Philip Schniter
On Communication Over Unknown Sparse Frequency-Selective Block-Fading Channels. IEEE Trans. Inf. Theory 57(10): 6619-6632 (2011) - [j23]Rohit Aggarwal, Mohamad Assaad, Can Emre Koksal, Philip Schniter
Joint Scheduling and Resource Allocation in the OFDMA Downlink: Utility Maximization Under Imperfect Channel-State Information. IEEE Trans. Signal Process. 59(11): 5589-5604 (2011) - [c26]Jeremy P. Vila, Philip Schniter
Expectation-maximization Bernoulli-Gaussian approximate message passing. ACSCC 2011: 799-803 - [c25]Jason T. Parker, Volkan Cevher, Philip Schniter
Compressive sensing under matrix uncertainties: An Approximate Message Passing approach. ACSCC 2011: 804-808 - [c24]Brian P. Day, Daniel W. Bliss, Adam R. Margetts, Philip Schniter:
Full-duplex bidirectional MIMO: Achievable rates under limited dynamic range. ACSCC 2011: 1386-1390 - [c23]Phil Schniter:
Session TP3a: Multi-dimensional compressive inference. ACSCC 2011: 1430-1432 - [c22]Justin Ziniel, Philip Schniter
Efficient message passing-based inference in the multiple measurement vector problem. ACSCC 2011: 1447-1451 - [c21]Phil Schniter:
Session TP8b1: Machine-learning-based statistical signal processing. ACSCC 2011: 1874-1876 - [c20]Philip Schniter:
Exploiting structured sparsity in Bayesian experimental design. CAMSAP 2011: 357-360 - [c19]Arun Pachai Kannu, Philip Schniter:
On communication over unknown sparse frequency-selective block-fading channels. ISIT 2011: 2781-2785 - [i17]Philip Schniter:
A Message-Passing Receiver for BICM-OFDM over Unknown Clustered-Sparse Channels. CoRR abs/1101.4724 (2011) - [i16]Subhojit Som, Philip Schniter:
Compressive Imaging using Approximate Message Passing and a Markov-Tree Prior. CoRR abs/1108.2632 (2011) - [i15]Rohit Aggarwal, Can Emre Koksal, Philip Schniter:
Scaling Laws and Design Principles for Multi-Cellular Wireless OFDMA Systems. CoRR abs/1108.3780 (2011) - [i14]Rohit Aggarwal, Can Emre Koksal, Philip Schniter:
Joint Scheduling and Resource Allocation in OFDMA Downlink Systems via ACK/NAK Feedback. CoRR abs/1110.4050 (2011) - [i13]Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal, Philip Schniter:
Hybrid Approximate Message Passing with Applications to Structured Sparsity. CoRR abs/1111.2581 (2011) - [i12]Brian P. Day, Adam R. Margetts, Daniel W. Bliss, Philip Schniter:
Full-Duplex MIMO Relaying: Achievable Rates under Limited Dynamic Range. CoRR abs/1111.2618 (2011) - [i11]Justin Ziniel, Philip Schniter:
Efficient High-Dimensional Inference in the Multiple Measurement Vector Problem. CoRR abs/1111.5272 (2011) - 2010
- [j22]Arun Pachai Kannu, Philip Schniter
On the spectral efficiency of noncoherent doubly selective block-fading channels. IEEE Trans. Inf. Theory 56(6): 2829-2844 (2010) - [c18]Sugumar Murugesan, Philip Schniter, Ness B. Shroff:
Throughput/energy aware opportunistic transmission control in broadcast networks. Allerton 2010: 1458-1465 - [c17]Philip Schniter:
Turbo reconstruction of structured sparse signals. CISS 2010: 1-6 - [i10]Sugumar Murugesan, Philip Schniter, Ness B. Shroff:
Multiuser Scheduling in a Markov-modeled Downlink using Randomly Delayed ARQ Feedback. CoRR abs/1002.3312 (2010) - [i9]Arun Pachai Kannu, Philip Schniter:
On Communication over Unknown Sparse Frequency-Selective Block-Fading Channels. CoRR abs/1006.1548 (2010) - [i8]Rohit Aggarwal, Mohamad Assaad, Can Emre Koksal, Philip Schniter:
Optimal Joint Scheduling and Resource Allocation in OFDMA Downlink Systems with Imperfect Channel-State Information. CoRR abs/1011.0027 (2010) - [i7]Philip Schniter:
Belief-propagation-based joint channel estimation and decoding for spectrally efficient communication over unknown sparse channels. CoRR abs/1012.4519 (2010)
2000 – 2009
- 2009
- [j21]Rohit Aggarwal, Philip Schniter
Rate Adaptation via Link-Layer Feedback for Goodput Maximization over a Time-Varying Channel. IEEE Trans. Wirel. Commun. 8(8): 4276-4285 (2009) - [i6]Rohit Aggarwal, Philip Schniter, Can Emre Koksal:
Rate Adaptation via Link-Layer Feedback for Goodput Maximization over a Time-Varying Channel. CoRR abs/0903.4128 (2009) - [i5]Sugumar Murugesan, Philip Schniter:
Joint Opportunistic Scheduling in Multi-Cellular Systems. CoRR abs/0904.1729 (2009) - [i4]Sugumar Murugesan, Philip Schniter:
Opportunistic Multiuser Scheduling in a Three State Markov-modeled Downlink. CoRR abs/0904.1754 (2009) - [i3]Can Emre Koksal, Philip Schniter:
Non-Bayesian Rate-Adaptive Wireless Communication Using ARQ-Feedback. CoRR abs/0906.2511 (2009) - 2008
- [j20]Sung-Jun Hwang, Philip Schniter
Efficient Multicarrier Communication for Highly Spread Underwater Acoustic Channels. IEEE J. Sel. Areas Commun. 26(9): 1674-1683 (2008) - [j19]Kambiz Azarian, Hesham El Gamal, Philip Schniter
On the Optimality of the ARQ-DDF Protocol. IEEE Trans. Inf. Theory 54(4): 1718-1724 (2008) - [j18]Arun Pachai Kannu, Philip Schniter
Design and Analysis of MMSE Pilot-Aided Cyclic-Prefixed Block Transmissions for Doubly Selective Channels. IEEE Trans. Signal Process. 56(3): 1148-1160 (2008) - [j17]Hong Liu, Philip Schniter
Iterative frequency-domain channel estimation and equalization for single-carrier transmissions without cyclic-prefix. IEEE Trans. Wirel. Commun. 7(10): 3686-3691 (2008) - [c16]Lee C. Potter, Philip Schniter
A fast posterior update for sparse underdetermined linear models. ACSCC 2008: 838-842 - [c15]Sugumar Murugesan, Philip Schniter
Multiuser scheduling in a Markov-modeled downlink environment. Allerton 2008: 1520-1526 - [c14]Rohit Aggarwal, Phil Schniter
Rate adaptation via link-layer feedback for goodput maximization over a time-varying channel. CISS 2008: 710-714 - [e1]Milica Stojanovic, Phil Schniter, Wei Ye:
Proceedings of the Third Workshop on Underwater Networks, WUWNET 2008, San Francisco, California, USA, September 15, 2007. ACM 2008, ISBN 978-1-60558-185-9 [contents] - 2007
- [j16]Sugumar Murugesan, Elif Uysal-Biyikoglu
Optimization of Training and Scheduling in the Non-Coherent SIMO Multiple Access Channel. IEEE J. Sel. Areas Commun. 25(7): 1446-1456 (2007) - [j15]Sibasish Das, Philip Schniter
Max-SINR ISI/ICI-Shaping Multicarrier Communication Over the Doubly Dispersive Channel. IEEE Trans. Signal Process. 55(12): 5782-5795 (2007) - [j14]Adam R. Margetts, Philip Schniter
Joint scale-lag diversity in wideband mobile direct sequence spread spectrum systems. IEEE Trans. Wirel. Commun. 6(12): 4308-4319 (2007) - [c13]Hong Liu, Philip Schniter
Iterative Frequency-Domain Channel Estimation and Equalization for Single-Carrier Transmissions without Cyclic-Prefix. CISS 2007: 829-834 - [c12]Sung-Jun Hwang, Philip Schniter:
Efficient communication over highly spread underwater acoustic channels. Underwater Networks 2007: 11-18 - 2006
- [j13]Sung-Jun Hwang, Philip Schniter
Efficient Sequence Detection of Multicarrier Transmissions over Doubly Dispersive Channels. EURASIP J. Adv. Signal Process. 2006 (2006) - [c11]Arun Pachai Kannu, Philip Schniter
Minimum Mean-Squared Error Pilot-Aided Transmission for MIMO Doubly Selective Channels. CISS 2006: 134-139 - [c10]Philip Schniter
On Doubly Dispersive Channel Estimation for Pilot-Aided Pulse-Shaped Multi-Carrier Modulation. CISS 2006: 1296-1301 - [i2]Kambiz Azarian, Hesham El Gamal, Philip Schniter:
On the Optimality of the ARQ-DDF Protocol. CoRR abs/cs/0602048 (2006) - 2005
- [j12]Kambiz Azarian, Hesham El Gamal, Philip Schniter
On the achievable diversity-multiplexing tradeoff in half-duplex cooperative channels. IEEE Trans. Inf. Theory 51(12): 4152-4172 (2005) - [j11]Adam R. Margetts, Philip Schniter:
Adaptive chip-rate equalization of downlink multirate wideband CDMA. IEEE Trans. Signal Process. 53(6): 2205-2215 (2005) - [c9]Adam R. Margetts, Philip Schniter
Scale-lag diversity reception in mobile wideband channels. ICASSP (3) 2005: 321-324 - [c8]Arun Pachai Kannu, Philip Schniter
MSE-optimal training for linear time-varying channels. ICASSP (3) 2005: 789-792 - [i1]Kambiz Azarian, Hesham El Gamal, Philip Schniter:
On the Achievable Diversity-Multiplexing Tradeoffs in Half-Duplex Cooperative Channels. CoRR abs/cs/0506018 (2005) - 2004
- [j10]Brian D. Rigling, Philip Schniter
Subspace leaky LMS. IEEE Signal Process. Lett. 11(2): 136-139 (2004) - [j9]Philip Schniter
Low-complexity equalization of OFDM in doubly selective channels. IEEE Trans. Signal Process. 52(4): 1002-1011 (2004) - [j8]Bijoy Bhukania, Philip Schniter:
On the robustness of decision-feedback detection of DPSK and differential unitary space-time modulation in Rayleigh-fading channels. IEEE Trans. Wirel. Commun. 3(5): 1481-1489 (2004) - [c7]Philip Schniter
On the design of non-(bi)orthogonal pulse-shaped FDM for doubly-dispersive channels. ICASSP (3) 2004: 817-820 - [c6]Kambiz Azarian, Hesham El Gamal, Philip Schniter
Achievable diversity-vs-multiplexing tradeoffs in half-duplex cooperative channels. ITW 2004: 292-297 - 2003
- [c5]Philip Schniter
Low-complexity receiver for OFDM in doubly-selective channels. GLOBECOM 2003: 2285-2289 - [c4]Bijoy Bhukania, Philip Schniter:
On the robustness of decision-feedback detection of DPSK and differential unitary space-time modulation in Rayleigh-fading channels. WCNC 2003: 218-222 - 2002
- [j7]Wanshi Chen
On the equivalence of three reduced rank linear estimators with applications to DS-CDMA. IEEE Trans. Inf. Theory 48(9): 2609-2614 (2002) - [c3]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:
Connexions: DSP education for a networked world. ICASSP 2002: 4144-4147 - 2001
- [j6]Philip Schniter
Performance analysis of Godard-based blind channel identification. IEEE Trans. Signal Process. 49(8): 1757-1767 (2001) - [j5]Philip Schniter
Existence and performance of Shalvi-Weinstein estimators. IEEE Trans. Signal Process. 49(9): 2031-2041 (2001) - 2000
- [j4]Philip Schniter
Bounds for the MSE performance of constant modulus estimators. IEEE Trans. Inf. Theory 46(7): 2544-2560 (2000) - [j3]Philip Schniter
Sufficient conditions for the local convergence of constant modulus algorithms. IEEE Trans. Signal Process. 48(10): 2785-2796 (2000)
1990 – 1999
- 1999
- [j2]Philip Schniter
Dithered signed-error CMA: robust, computationally efficient blind adaptive equalization. IEEE Trans. Signal Process. 47(6): 1592-1603 (1999) - [c2]Philip Schniter, C. Richard Johnson Jr.:
SINR-based sufficient conditions for CMA desired-user-lock. WCNC 1999: 814-818 - 1998
- [j1]C. Richard Johnson Jr., Philip Schniter
Blind equalization using the constant modulus criterion: a review. Proc. IEEE 86(9): 1927-1950 (1998) - [c1]Philip Schniter
The dithered signed-error constant modulus algorithm. ICASSP 1998: 3353-3356
Coauthor Index
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