Richard G. Baraniuk

According to our database1, Richard G. Baraniuk authored at least 340 papers between 1989 and 2020.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2002, "For contributions to the development of techniques for time-frequency and multiscale analysis".

Timeline

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Online presence:

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Bibliography

2020
Inverse Scattering via Transmission Matrices: Broadband Illumination and Fast Phase Retrieval Algorithms.
IEEE Trans. Computational Imaging, 2020

Universal Frame Thresholding.
IEEE Signal Process. Lett., 2020

Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference.
IEEE J. Sel. Top. Signal Process., 2020

Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels.
CoRR, 2020

Provable Finite Data Generalization with Group Autoencoder.
CoRR, 2020

Diagnostic Questions: The NeurIPS 2020 Education Challenge.
CoRR, 2020

Computer-Aided Personalized Education.
CoRR, 2020

Ensembles of Generative Adversarial Networks for Disconnected Data.
CoRR, 2020

The Recurrent Neural Tangent Kernel.
CoRR, 2020

Analytical Probability Distributions and EM-Learning for Deep Generative Networks.
CoRR, 2020

Interpretable Super-Resolution via a Learned Time-Series Representation.
CoRR, 2020

An Improved Semi-Supervised VAE for Learning Disentangled Representations.
CoRR, 2020

Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks.
CoRR, 2020

MomentumRNN: Integrating Momentum into Recurrent Neural Networks.
CoRR, 2020

Attention Word Embedding.
CoRR, 2020

Deep Learning Techniques for Inverse Problems in Imaging.
CoRR, 2020

Max-Affine Spline Insights into Deep Generative Networks.
CoRR, 2020

Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors.
CoRR, 2020

Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent.
CoRR, 2020

CANOPIC: Pre-Digital Privacy-Enhancing Encodings for Computer Vision.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

qDKT: Question-centric Deep Knowledge Tracing.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

The Implicit Regularization of Ordinary Least Squares Ensembles.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Thresholding Graph Bandits with GrAPL.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Inferring Student Comprehension from Highlighting Patterns in Digital Textbooks: An Exploration in an Authentic Learning Platform.
Proceedings of the Second International Workshop on Intelligent Textbooks 2020 co-located with 21st International Conference on Artificial Intelligence in Education (AIED 2020), 2020

2019
Face Detection and Verification Using Lensless Cameras.
IEEE Trans. Computational Imaging, 2019

InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers.
CoRR, 2019

Drawing early-bird tickets: Towards more efficient training of deep networks.
CoRR, 2019

Out-of-Distribution Detection Using Neural Rendering Generative Models.
CoRR, 2019

A Hessian Based Complexity Measure for Deep Networks.
CoRR, 2019

RACE: Sub-Linear Memory Sketches for Approximate Near-Neighbor Search on Streaming Data.
CoRR, 2019

The Geometry of Deep Networks: Power Diagram Subdivision.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Max-Affine Spline Perspective of Recurrent Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery.
Proceedings of the 7th International Conference on Learning Representations, 2019

Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference.
Proceedings of the 7th International Conference on Learning Representations, 2019

A Meta-Learning Augmented Bidirectional Transformer Model for Automatic Short Answer Grading.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

IdeoTrace: a framework for ideology tracing with a case study on the 2016 U.S. presidential election.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Adaptive Estimation for Approximate $k$-Nearest-Neighbor Computations.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
RankMap: A Framework for Distributed Learning From Dense Data Sets.
IEEE Trans. Neural Networks Learn. Syst., 2018

Insense: Incoherent sensor selection for sparse signals.
Signal Process., 2018

Neural Rendering Model: Joint Generation and Prediction for Semi-Supervised Learning.
CoRR, 2018

Unsupervised Learning with Stein's Unbiased Risk Estimator.
CoRR, 2018

A Spline Theory of Deep Networks (Extended Version).
CoRR, 2018

prDeep: Robust Phase Retrieval with Flexible Deep Neural Networks.
CoRR, 2018

Semi-Supervised Learning Enabled by Multiscale Deep Neural Network Inversion.
CoRR, 2018

QG-net: a data-driven question generation model for educational content.
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

prDeep: Robust Phase Retrieval with a Flexible Deep Network.
Proceedings of the 35th International Conference on Machine Learning, 2018

Spline Filters For End-to-End Deep Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

A Spline Theory of Deep Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

MISSION: Ultra Large-Scale Feature Selection using Count-Sketches.
Proceedings of the 35th International Conference on Machine Learning, 2018

An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Conveying language through haptics: a multi-sensory approach.
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018

2017
Exponential Decay of Reconstruction Error From Binary Measurements of Sparse Signals.
IEEE Trans. Inf. Theory, 2017

FlatCam: Thin, Lensless Cameras Using Coded Aperture and Computation.
IEEE Trans. Computational Imaging, 2017

Compressive Video Sensing: Algorithms, architectures, and applications.
IEEE Signal Process. Mag., 2017

Introduction to the Issue on Signal Processing and Machine Learning.
IEEE J. Sel. Top. Signal Process., 2017

BLAh: Boolean Logic Analysis for Graded Student Response Data.
IEEE J. Sel. Top. Signal Process., 2017

Overcomplete Frame Thresholding for Acoustic Scene Analysis.
CoRR, 2017

Semi-Supervised Learning via New Deep Network Inversion.
CoRR, 2017

Adaptive Partitioning Spline Neural Networks: Template Matching, Memorization, Inhibitor Connections, Inversion, Semi-Sup, Topology Search.
CoRR, 2017

Data-Mining Textual Responses to Uncover Misconception Patterns.
CoRR, 2017

Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm.
CoRR, 2017

Learned D-AMP: Principled Neural Network based Compressive Image Recovery.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

D.TRUMP: Data-mining Textual Responses to Uncover Misconception Patterns.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Sketched covariance testing: A compression-statistics tradeoff.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

RHash: Robust Hashing via L_infinity-norm Distortion.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Coherent inverse scattering via transmission matrices: Efficient phase retrieval algorithms and a public dataset.
Proceedings of the 2017 IEEE International Conference on Computational Photography, 2017

Flat focus: depth of field analysis for the FlatCam lensless imaging system.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Learning to invert: Signal recovery via Deep Convolutional Networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Contextual multi-armed bandit algorithms for personalized learning action selection.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Short-Answer Responses to STEM Exercises: Measuring Response Validity and Its Impact on Learning.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

A Latent Factor Model For Instructor Content Preference Analysis.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

Data-Mining Textual Responses to Uncover Misconception Patterns.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

Personalized Feedback for Open-Response Mathematical Questions using Long Short-Term Memory Networks.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

DeepCodec: Adaptive sensing and recovery via deep convolutional neural networks.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
From Denoising to Compressed Sensing.
IEEE Trans. Inf. Theory, 2016

Lensless Imaging: A computational renaissance.
IEEE Signal Process. Mag., 2016

MOOC Adventures in Signal Processing: Bringing DSP to the era of massive open online courses.
IEEE Signal Process. Mag., 2016

Signal Processing for Computational Photography and Displays [From the Guest Editors].
IEEE Signal Process. Mag., 2016

Semi-Supervised Learning with the Deep Rendering Mixture Model.
CoRR, 2016

One-Bit Compressive Sensing of Dictionary-Sparse Signals.
CoRR, 2016

Near-Isometric Binary Hashing for Large-scale Datasets.
CoRR, 2016

Deterministic Column Sampling for Low-Rank Matrix Approximation: Nyström vs. Incomplete Cholesky Decomposition.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

A Probabilistic Framework for Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Dealbreaker: A Nonlinear Latent Variable Model for Educational Data.
Proceedings of the 33nd International Conference on Machine Learning, 2016

BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

A Contextual Bandits Framework for Personalized Learning Action Selection.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Optimal ranking of test items using the Rasch model.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
NuMax: A Convex Approach for Learning Near-Isometric Linear Embeddings.
IEEE Trans. Signal Process., 2015

The STOne Transform: Multi-Resolution Image Enhancement and Compressive Video.
IEEE Trans. Image Process., 2015

Video Compressive Sensing for Spatial Multiplexing Cameras Using Motion-Flow Models.
SIAM J. Imaging Sci., 2015

A Probabilistic Theory of Deep Learning.
CoRR, 2015

oASIS: Adaptive Column Sampling for Kernel Matrix Approximation.
CoRR, 2015

Consistent Parameter Estimation for LASSO and Approximate Message Passing.
CoRR, 2015

RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets.
CoRR, 2015

FASTA: A Generalized Implementation of Forward-Backward Splitting.
CoRR, 2015

Self-Expressive Decompositions for Matrix Approximation and Clustering.
CoRR, 2015

FlatCam: Thin, Bare-Sensor Cameras using Coded Aperture and Computation.
CoRR, 2015

BayesRank: A Bayesian Approach to Ranked Peer Grading.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Mathematical Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

BM3D-AMP: A new image recovery algorithm based on BM3D denoising.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

FlatCam: Replacing Lenses with Masks and Computation.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Dynamic model generation for application of compressed sensing to cryo-electron tomography reconstruction.
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015

A deep learning approach to structured signal recovery.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

An information-theoretic measure of dependency among variables in large datasets.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Iterative reconstruction from limited angle, limited view projections for cryo-electron tomography.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Compressive Sensing.
Computer Vision, A Reference Guide, 2014

Minimum Complexity Pursuit for Universal Compressed Sensing.
IEEE Trans. Inf. Theory, 2014

Sparsity and Structure in Hyperspectral Imaging : Sensing, Reconstruction, and Target Detection.
IEEE Signal Process. Mag., 2014

Fast Alternating Direction Optimization Methods.
SIAM J. Imaging Sci., 2014

Sparse factor analysis for learning and content analytics.
J. Mach. Learn. Res., 2014

Democratic Representations.
CoRR, 2014

Video Compressive Sensing for Dynamic MRI.
CoRR, 2014

Sparse Bilinear Logistic Regression.
CoRR, 2014

A Field Guide to Forward-Backward Splitting with a FASTA Implementation.
CoRR, 2014

Fast Sublinear Sparse Representation using Shallow Tree Matching Pursuit.
CoRR, 2014

Toward Compressive Camera Networks.
Computer, 2014

Time-varying learning and content analytics via sparse factor analysis.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Matrix recovery from quantized and corrupted measurements.
Proceedings of the IEEE International Conference on Acoustics, 2014

LIE operators for compressive sensing.
Proceedings of the IEEE International Conference on Acoustics, 2014

Quantized Matrix Completion for Personalized Learning.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

Active Learning for Undirected Graphical Model Selection.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Design and Analysis of Compressed Sensing Radar Detectors.
IEEE Trans. Signal Process., 2013

Asymptotic Analysis of Complex LASSO via Complex Approximate Message Passing (CAMP).
IEEE Trans. Inf. Theory, 2013

Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors.
IEEE Trans. Inf. Theory, 2013

Measurement Bounds for Sparse Signal Ensembles via Graphical Models.
IEEE Trans. Inf. Theory, 2013

Compressive Acquisition of Linear Dynamical Systems.
SIAM J. Imaging Sci., 2013

Greedy feature selection for subspace clustering.
J. Mach. Learn. Res., 2013

Maximin Analysis of Message Passing Algorithms for Recovering Block Sparse Signals
CoRR, 2013

Swapping Variables for High-Dimensional Sparse Regression from Correlated Measurements.
CoRR, 2013

Parameterless Optimal Approximate Message Passing.
CoRR, 2013

Asymptotic Analysis of LASSOs Solution Path with Implications for Approximate Message Passing.
CoRR, 2013

The STONE Transform: Multi-Resolution Image Enhancement and Real-Time Compressive Video.
CoRR, 2013

When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Open online platforms advancing DSP education.
Proceedings of the IEEE International Conference on Acoustics, 2013

Subspace clustering with dense representations.
Proceedings of the IEEE International Conference on Acoustics, 2013

Adaptive step size selection for optimization via the ski rental problem.
Proceedings of the IEEE International Conference on Acoustics, 2013

Bayesian pairwise collaboration detection in educational datasets.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Compressive sensing radar: Simulation and experiments for target detection.
Proceedings of the 21st European Signal Processing Conference, 2013

Test-size Reduction for Concept Estimation.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

Joint Topic Modeling and Factor Analysis of Textual Information and Graded Response Data.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

2012
Regime Change: Bit-Depth Versus Measurement-Rate in Compressive Sensing.
IEEE Trans. Signal Process., 2012

The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding versus Dynamic Range.
IEEE Trans. Signal Process., 2012

Signal Recovery on Incoherent Manifolds.
IEEE Trans. Inf. Theory, 2012

Kronecker Compressive Sensing.
IEEE Trans. Image Process., 2012

Trends in Signal Processing Education [In the Spotlight].
IEEE Signal Process. Mag., 2012

VLSI Design of Approximate Message Passing for Signal Restoration and Compressive Sensing.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2012

Multi-robot target verification with reachability constraints.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2012

Multi-objective sensor-based replanning for a car-like robot.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2012

Near-isometric linear embeddings of manifolds.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Sequentially designed compressed sensing.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Minimum complexity pursuit: Stability analysis.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

SPIN: Iterative signal recovery on incoherent manifolds.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

CS-MUVI: Video compressive sensing for spatial-multiplexing cameras.
Proceedings of the 2012 IEEE International Conference on Computational Photography, 2012

A bit-constrained sar adc for compressive acquisition of frequency sparse signals.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Dictionary learning from sparsely corrupted or compressed signals.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A compressive phase-locked loop.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Signal representations with minimum ℓ∞-norm.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Trust, But Verify: Fast and Accurate Signal Recovery From 1-Bit Compressive Measurements.
IEEE Trans. Signal Process., 2011

Sampling and Recovery of Pulse Streams.
IEEE Trans. Signal Process., 2011

Learning Low-Dimensional Signal Models.
IEEE Signal Process. Mag., 2011

Anisotropic Nonlocal Means Denoising
CoRR, 2011

A Theory for Optical flow-based Transport on Image Manifolds
CoRR, 2011

Stable Restoration and Separation of Approximately Sparse Signals
CoRR, 2011

The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range
CoRR, 2011

Deterministic Bounds for Restricted Isometry of Compressed Sensing Matrices
CoRR, 2011

Bounds on the Reconstruction of Sparse Signal Ensembles from Distributed Measurements
CoRR, 2011

SpaRCS: Recovering low-rank and sparse matrices from compressive measurements.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Least favorable compressed sensing problems for first-order methods.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

The compressive multiplexer for multi-channel compressive sensing.
Proceedings of the IEEE International Conference on Acoustics, 2011

Robust support recovery using sparse compressive sensing matrices.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

Recovery guarantees for restoration and separation of approximately sparse signals.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Go with the flow: Optical flow-based transport operators for image manifolds.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Suboptimality of nonlocal means on images with sharp edges.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

The polyphase random demodulator for wideband compressive sensing.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Bayesian compressive sensing via belief propagation.
IEEE Trans. Signal Process., 2010

Beyond Nyquist: efficient sampling of sparse bandlimited signals.
IEEE Trans. Inf. Theory, 2010

Model-based compressive sensing.
IEEE Trans. Inf. Theory, 2010

Joint Manifolds for Data Fusion.
IEEE Trans. Image Process., 2010

Sparse Signal Recovery and Acquisition with Graphical Models.
IEEE Signal Process. Mag., 2010

Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective.
Proc. IEEE, 2010

Applications of Sparse Representation and Compressive Sensing.
Proc. IEEE, 2010

Tuning Support Vector Machines for Minimax and Neyman-Pearson Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Signal Processing With Compressive Measurements.
IEEE J. Sel. Top. Signal Process., 2010

Introduction to the Issue on Compressive Sensing.
IEEE J. Sel. Top. Signal Process., 2010

Texas Hold 'Em algorithms for distributed compressive sensing.
Proceedings of the IEEE International Conference on Acoustics, 2010

Compressive sensing of a superposition of pulses.
Proceedings of the IEEE International Conference on Acoustics, 2010

Kronecker product matrices for compressive sensing.
Proceedings of the IEEE International Conference on Acoustics, 2010

Recovering Spikes from Noisy Neuronal Calcium Signals via Structured Sparse Approximation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Compressive Acquisition of Dynamic Scenes.
Proceedings of the Computer Vision, 2010

High Dimensional Data Fusion via Joint Manifold Learning.
Proceedings of the Manifold Learning and Its Applications, 2010

2009
Representation and Compression of Multidimensional Piecewise Functions Using Surflets.
IEEE Trans. Inf. Theory, 2009

Random Projections of Smooth Manifolds.
Found. Comput. Math., 2009

Compressive Sensing DNA Microarrays.
EURASIP J. Bioinform. Syst. Biol., 2009

A simple proof that random matrices are democratic
CoRR, 2009

Distributed Compressive Sensing
CoRR, 2009

A Theoretical Analysis of Joint Manifolds
CoRR, 2009

Near-optimal Bayesian localization via incoherence and sparsity.
Proceedings of the 8th International Conference on Information Processing in Sensor Networks, 2009

Recovery of compressible signals in unions of subspaces.
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009

Sparse Geodesic Paths.
Proceedings of the Manifold Learning and Its Applications, 2009

2008
Coherent Multiscale Image Processing Using Dual-Tree Quaternion Wavelets.
IEEE Trans. Image Process., 2008

Single-pixel imaging via compressive sampling.
IEEE Signal Process. Mag., 2008

Compressive Sampling [From the Guest Editors].
IEEE Signal Process. Mag., 2008

Peer Review Anew: Three Principles and a Case Study in Postpublication Quality Assurance.
Proc. IEEE, 2008

Sparse Coding via Thresholding and Local Competition in Neural Circuits.
Neural Comput., 2008

Viewpoint: Global warming toward open educational resources.
Commun. ACM, 2008

Sparse Signal Recovery Using Markov Random Fields.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

On the feasibility of hardware implementation of sub-Nyquist random-sampling based analog-to-information conversion.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model.
Proceedings of the IEEE International Conference on Acoustics, 2008

Reconstructing sparse signals from their zero crossings.
Proceedings of the IEEE International Conference on Acoustics, 2008

Distributed target localization via spatial sparsity.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Compressive Sensing for Background Subtraction.
Proceedings of the Computer Vision, 2008

1-Bit compressive sensing.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

Compressive sensing.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

Probe Design for Compressive Sensing DNA Microarrays.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2007
Texas Two-Step: A Framework for Optimal Multi-Input Single-Output Deconvolution.
IEEE Trans. Image Process., 2007

IEEE-SPS and Connexions - An Open Access Education Collaboration [Society News].
IEEE Signal Process. Mag., 2007

Compressive Sensing [Lecture Notes].
IEEE Signal Process. Mag., 2007

On Nearly Orthogonal Lattice Bases and Random Lattices.
SIAM J. Discret. Math., 2007

Random Projections for Manifold Learning.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Theory and Implementation of an Analog-to-Information Converter using Random Demodulation.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

Blind Error-Free Detection of Transform-Domainwatermarks.
Proceedings of the International Conference on Image Processing, 2007

Locally Competitive Algorithms for Sparse Approximation.
Proceedings of the International Conference on Image Processing, 2007

Multiscale Random Projections for Compressive Classification.
Proceedings of the International Conference on Image Processing, 2007

Quantization of Sparse Representations.
Proceedings of the 2007 Data Compression Conference (DCC 2007), 2007

The smashed filter for compressive classification and target recognition.
Proceedings of the Computational Imaging V, San Jose, 2007

2006
Robust Distributed Estimation Using the Embedded Subgraphs Algorithm.
IEEE Trans. Signal Process., 2006

Multiscale queueing analysis.
IEEE/ACM Trans. Netw., 2006

Faster sequential universal coding via block partitioning.
IEEE Trans. Inf. Theory, 2006

Wavelet-domain approximation and compression of piecewise smooth images.
IEEE Trans. Image Process., 2006

JPEG compression history estimation for color images.
IEEE Trans. Image Process., 2006

Sudocodes ߝ Fast Measurement and Reconstruction of Sparse Signals.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

An architecture for distributed wavelet analysis and processing in sensor networks.
Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

Universal distributed sensing via random projections.
Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

An Architecture for Compressive Imaging.
Proceedings of the International Conference on Image Processing, 2006

Multiscale Image Disparity Estimation using the Quaternion Wavelet Transform.
Proceedings of the International Conference on Image Processing, 2006

Random Projections of Signal Manifolds.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Random Filters for Compressive Sampling and Reconstruction.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Sparse Signal Detection from Incoherent Projections.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Controlling False Alarms With Support Vector Machines.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A new compressive imaging camera architecture using optical-domain compression.
Proceedings of the Computational Imaging IV, San Jose, 2006

Distributed Wavelet De-Noising for Sensor Networks.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Network and user driven alpha-beta on-off source model for network traffic.
Comput. Networks, 2005

Recovery of Jointly Sparse Signals from Few Random Projections.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

TCP-Africa: an adaptive and fair rapid increase rule for scalable TCP.
Proceedings of the INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies, 2005

High-resolution navigation on non-differentiable image manifolds.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A multiscale data representation for distributed sensor networks.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Multiscale manifold representation and modeling.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Design of Adaptive Overlays for Multi-scale Communication in Sensor Networks.
Proceedings of the Distributed Computing in Sensor Systems, 2005

2004
ForWaRD: Fourier-wavelet regularized deconvolution for ill-conditioned systems.
IEEE Trans. Signal Process., 2004

Joint signaling techniques and spectral optimization for symmetric bit-rate communication over self-NEXT-dominated channels.
IEEE Trans. Commun., 2004

Multiple wavelet basis image denoising using Besov ball projections.
IEEE Signal Process. Lett., 2004

Locating Available Bandwidth Bottlenecks.
IEEE Internet Comput., 2004

Spatio-temporal available bandwidth estimation with STAB.
Proceedings of the International Conference on Measurements and Modeling of Computer Systems, 2004

Surflets: a sparse representation for multidimensional functions containing smooth discontinuities.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Robust distributed estimation in sensor networks using the embedded polygons algorithm.
Proceedings of the Third International Symposium on Information Processing in Sensor Networks, 2004

Quaternion wavelets for image analysis and processing.
Proceedings of the 2004 International Conference on Image Processing, 2004

Contraction, smoothness, and low-pass filtering.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Non-redundant, linear-phase, semi-orthogonal, directional complex wavelets [image/video processing applications].
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Directional hypercomplex wavelets for multidimensional signal analysis and processing.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Delay-limited throughput maximization for fading channels using rate and power control.
Proceedings of the Global Telecommunications Conference, 2004. GLOBECOM '04, Dallas, Texas, USA, 29 November, 2004

2003
Nonlinear wavelet transforms for image coding via lifting.
IEEE Trans. Image Process., 2003

Multiscale geometric image processing.
Proceedings of the Visual Communications and Image Processing 2003, 2003

Geometry Compression of Normal Meshes Using Rate-Distortion Algorithms.
Proceedings of the First Eurographics Symposium on Geometry Processing, 2003

Distributed image compression for sensor networks using correspondence analysis and super-resolution.
Proceedings of the 2003 International Conference on Image Processing, 2003

Approximation and compression of piecewise smooth images using a wavelet/wedgelet geometric model.
Proceedings of the 2003 International Conference on Image Processing, 2003

JPEG compression history estimation for color images.
Proceedings of the 2003 International Conference on Image Processing, 2003

Orthogonal Hilbert transform filter banks and wavelets.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Open-content signal processing laboratories in connexions.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Estimation-Quantization Geometry Coding Using Normal Meshes.
Proceedings of the 2003 Data Compression Conference (DCC 2003), 2003

2002
Near Best Tree Approximation.
Adv. Comput. Math., 2002

Rate-distortion optimized image compression using wedgelets.
Proceedings of the 2002 International Conference on Image Processing, 2002

Multiscale wedgelet image analysis: fast decompositions and modeling.
Proceedings of the 2002 International Conference on Image Processing, 2002

Additive and multiplicative mixture trees for network traffic modeling.
Proceedings of the IEEE International Conference on Acoustics, 2002


Asymptotic performance of transmit diversity via OFDM for multipath channels.
Proceedings of the Global Telecommunications Conference, 2002

Image Compression using an Efficient Edge Cartoon + Texture Model.
Proceedings of the 2002 Data Compression Conference (DCC 2002), 2002

2001
Hybrid linear/quadratic time-frequency attributes.
IEEE Trans. Signal Process., 2001

Measuring time-Frequency information content using the Rényi entropies.
IEEE Trans. Inf. Theory, 2001

Bayesian tree-structured image modeling using wavelet-domain hidden Markov models.
IEEE Trans. Image Process., 2001

Multiscale image segmentation using wavelet-domain hidden Markov models.
IEEE Trans. Image Process., 2001

Lattice algorithms for compression color space estimation in JPEG images.
Electron. Notes Theor. Comput. Sci., 2001

Connection-level analysis and modeling of network traffic.
Proceedings of the 1st ACM SIGCOMM Internet Measurement Workshop, 2001

Multiscale edge grammars for complex wavelet transforms.
Proceedings of the 2001 International Conference on Image Processing, 2001

Compression color space estimation of JPEG images using lattice basis reduction.
Proceedings of the 2001 International Conference on Image Processing, 2001

Multiscale image processing using normal triangulated meshes.
Proceedings of the 2001 International Conference on Image Processing, 2001

Wavelets and multifractals for network traffic modeling and inference.
Proceedings of the IEEE International Conference on Acoustics, 2001

Optimal transmit spectra for communication in the presence of crosstalk and imperfect echo cancellation.
Proceedings of the Global Telecommunications Conference, 2001

2000
Bayesian Tree-Structured Image Modeling.
Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000

Spectroscopic Imaging Using Terahertz Time-Domain Signals.
Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000

Multiscale Queuing Analysis of Long-Range-Dependent Network Traffic.
Proceedings of the Proceedings IEEE INFOCOM 2000, 2000

Multiscale Classification Using Complex Wavelets and Hidden Markov Tree Models.
Proceedings of the 2000 International Conference on Image Processing, 2000

Model-Based Inverse Halftoning with Wavelet-Vaguelette Deconvolution.
Proceedings of the 2000 International Conference on Image Processing, 2000

Imaging with THZ Pulses.
Proceedings of the 2000 International Conference on Image Processing, 2000

Wavelet folding and decorrelation across the scale.
Proceedings of the IEEE International Conference on Acoustics, 2000

Hidden Markov tree modeling of complex wavelet transforms.
Proceedings of the IEEE International Conference on Acoustics, 2000

Multiscale document segmentation using wavelet-domain hidden Markov models.
Proceedings of the Document Recognition and Retrieval VII, 2000

1999
Hybrid linear/bilinear time-scale analysis.
IEEE Trans. Signal Process., 1999

Wavelet-based transformations for nonlinear signal processing.
IEEE Trans. Signal Process., 1999

A Multifractal Wavelet Model with Application to Network Traffic.
IEEE Trans. Inf. Theory, 1999

Wavelet-domain filtering for photon imaging systems.
IEEE Trans. Image Process., 1999

Simulation of nonGaussian Long-Range-Dependent Traffic Using Wavelets.
Proceedings of the 1999 ACM SIGMETRICS international conference on Measurement and modeling of computer systems, 1999

Bayesian Wavelet-Domain Image Modeling Using Hidden Markov Trees.
Proceedings of the 1999 International Conference on Image Processing, 1999

Wavelet-Domain Regularized Deconvolution for ILL-Conditioned Systems.
Proceedings of the 1999 International Conference on Image Processing, 1999

Multiple Basis Wavelet Denoising Using BESOV Projections.
Proceedings of the 1999 International Conference on Image Processing, 1999

Wavelet-based deconvolution for ill-conditioned systems.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Interpolation and denoising of nonuniformly sampled data using wavelet-domain processing.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Pseudo affine Wigner distributions: definition and kernel formulation.
IEEE Trans. Signal Process., 1998

Wavelet-based statistical signal processing using hidden Markov models.
IEEE Trans. Signal Process., 1998

Beyond time-frequency analysis: energy densities in one and many dimensions.
IEEE Trans. Signal Process., 1998

Adaptive weighted highpass filters using multiscale analysis.
IEEE Trans. Image Process., 1998

Joint Distributions of Arbitrary Variables Made Easy.
Multidimens. Syst. Signal Process., 1998

Simplified wavelet-domain hidden Markov models using contexts.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Adaptive wavelet transforms via lifting.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Adaptive Wavelet Transforms for Image Coding Using Lifting.
Proceedings of the Data Compression Conference, 1998

1997
Improved type-based detection of analog signals.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Signal estimation using wavelet-Markov models.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Wigner-based formulation of the chirplet transform.
IEEE Trans. Signal Process., 1996

Myoelectric teleoperation of a complex robotic hand.
IEEE Trans. Robotics Autom., 1996

Optimal phase kernels for time-frequency analysis.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Pseudo affine Wigner distributions.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
An adaptive optimal-kernel time-frequency representation.
IEEE Trans. Signal Process., 1995

Unitary equivalence: a new twist on signal processing.
IEEE Trans. Signal Process., 1995

Warping time-frequency and time-scale representations to match signals.
Proceedings of the Visual Information Processing IV, Orlando, FL, USA, April 17, 1995, 1995

Marginals vs. covariance in joint distribution theory.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
A simple scheme for adapting time-frequency representations.
IEEE Trans. Signal Process., 1994

A signal-dependent time-frequency representation: fast algorithm for optimal kernel design.
IEEE Trans. Signal Process., 1994

Wavelet Soft-Thresholding of Time-Frequency Representations.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

Time-frequency complexity and information.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993
Shear madness: new orthonormal bases and frames using chirp functions.
IEEE Trans. Signal Process., 1993

A signal-dependent time-frequency representation: optimal kernel design.
IEEE Trans. Signal Process., 1993

Signal-dependent time-frequency analysis using a radially Gaussian kernel.
Signal Process., 1993

Warped wavelet bases: unitary equivalence and signal processing.
Proceedings of the IEEE International Conference on Acoustics, 1993

1992
New dimensions in wavelet analysis.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991
A radially-Gaussian, signal-dependent time-frequency representation.
Proceedings of the 1991 International Conference on Acoustics, 1991

1989
Matrix based computation of floating-point roundoff noise.
IEEE Trans. Acoust. Speech Signal Process., 1989


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