Yoram Bresler

Orcid: 0000-0002-9738-1094

Affiliations:
  • University of Illinois at Urbana-Champaign, Urbana, IL, USA


According to our database1, Yoram Bresler authored at least 196 papers between 1984 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 1999, "For contributions to computer based imaging and sensor array processing.".

Timeline

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Links

Online presence:

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Bibliography

2023
Learning to Bound: A Generative Cramér-Rao Bound.
IEEE Trans. Signal Process., 2023

Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications.
IEEE Signal Process. Mag., 2023

RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Factorized Projection-Domain Spatio-Temporal Regularization for Dynamic Tomography.
Proceedings of the IEEE International Conference on Acoustics, 2023

Learned Generative Misspecified Lower Bound.
Proceedings of the IEEE International Conference on Acoustics, 2023

Dynamic Tomography Reconstruction via Low-Rank Modeling with a RED Spatial Prior.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022
Scatter Correction in X-Ray CT by Physics-Inspired Deep Learning.
IEEE Trans. Computational Imaging, 2022

Dynamic Tomography Reconstruction by Projection-Domain Separable Modeling.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

A Generative Cramér-Rao Bound on Frequency Estimation with Learned Measurement Distribution.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

Identification of Pulse Streams Of Unknown Shape From Time Encoding Machine Samples.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Joint Dimensionality Reduction for Separable Embedding Estimation.
CoRR, 2021

2020
Image Recovery via Transform Learning and Low-Rank Modeling: The Power of Complementary Regularizers.
IEEE Trans. Image Process., 2020

Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks.
IEEE Signal Process. Mag., 2020

Model selection with covariance matching based non-negative lasso.
Signal Process., 2020

A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems.
CoRR, 2020

A Physics-Motivated DNN for X-Ray CT Scatter Correction.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Improving Robustness of Deep-Learning-Based Image Reconstruction.
Proceedings of the 37th International Conference on Machine Learning, 2020

Optimizing Optical Compressed Sensing for Multispectral DNN-Based Image Segmentation.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Bounding Multivariate Trigonometric Polynomials.
IEEE Trans. Signal Process., 2019

Learning Filter Bank Sparsifying Transforms.
IEEE Trans. Signal Process., 2019

Blind Gain and Phase Calibration via Sparse Spectral Methods.
IEEE Trans. Inf. Theory, 2019

Multichannel Sparse Blind Deconvolution on the Sphere.
IEEE Trans. Inf. Theory, 2019

VIDOSAT: High-Dimensional Sparsifying Transform Learning for Online Video Denoising.
IEEE Trans. Image Process., 2019

GAN-based Projector for Faster Recovery in Compressed Sensing with Convergence Guarantees.
CoRR, 2019

GAN-Based Projector for Faster Recovery With Convergence Guarantees in Linear Inverse Problems.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Near-Optimal Compressed Sensing of a Class of Sparse Low-Rank Matrices Via Sparse Power Factorization.
IEEE Trans. Inf. Theory, 2018

The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling.
CoRR, 2018

Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Identifiability and Stability in Blind Deconvolution Under Minimal Assumptions.
IEEE Trans. Inf. Theory, 2017

Identifiability in Bilinear Inverse Problems With Applications to Subspace or Sparsity-Constrained Blind Gain and Phase Calibration.
IEEE Trans. Inf. Theory, 2017

Blind Recovery of Sparse Signals From Subsampled Convolution.
IEEE Trans. Inf. Theory, 2017

Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising.
Proceedings of the IEEE International Conference on Computer Vision, 2017

When sparsity meets low-rankness: Transform learning with non-local low-rank constraint for image restoration.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Automatic parameter tuning for image denoising with learned sparsifying transforms.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Optimal Sample Complexity for Blind Gain and Phase Calibration.
IEEE Trans. Signal Process., 2016

Identifiability in Blind Deconvolution With Subspace or Sparsity Constraints.
IEEE Trans. Inf. Theory, 2016

Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing.
IEEE Trans. Computational Imaging, 2016

Dimensionality Reduction for Nonlinear Regression with Two Predictor Vectors.
CoRR, 2016

Range-space based identification of parametric linear systems.
Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

Optimal sample complexity for stable matrix recovery.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Learning flipping and rotation invariant sparsifying transforms.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Improving M-SBL for Joint Sparse Recovery Using a Subspace Penalty.
IEEE Trans. Signal Process., 2015

ℓ<sub>0</sub> Sparsifying Transform Learning With Efficient Optimal Updates and Convergence Guarantees.
IEEE Trans. Signal Process., 2015

Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to Magnetic Resonance Imaging.
SIAM J. Imaging Sci., 2015

Online Sparsifying Transform Learning - Part I: Algorithms.
IEEE J. Sel. Top. Signal Process., 2015

Online Sparsifying Transform Learning - Part II: Convergence Analysis.
IEEE J. Sel. Top. Signal Process., 2015

Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications.
Int. J. Comput. Vis., 2015

FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications.
CoRR, 2015

Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to MRI.
CoRR, 2015

Identifiability in Blind Deconvolution under Minimal Assumptions.
CoRR, 2015

A Unified Framework for Identifiability Analysis in Bilinear Inverse Problems with Applications to Subspace and Sparsity Models.
CoRR, 2015

Video denoising by online 3D sparsifying transform learning.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Motion Adaptive Patch-Based Low-Rank Approach for Compressed Sensing Cardiac Cine MRI.
IEEE Trans. Medical Imaging, 2014

Learning overcomplete sparsifying transforms with block cosparsity.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Doubly sparse transform learning with convergence guarantees.
Proceedings of the IEEE International Conference on Acoustics, 2014

Tomographic reconstruction with adaptive sparsifying transforms.
Proceedings of the IEEE International Conference on Acoustics, 2014

Online sparsifying transform learning for signal processing.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Model-based iterative tomographic reconstruction with adaptive sparsifying transforms.
Proceedings of the Computational Imaging XII, 2014

2013
Learning Sparsifying Transforms.
IEEE Trans. Signal Process., 2013

Oblique Pursuits for Compressed Sensing.
IEEE Trans. Inf. Theory, 2013

Corrections to "ADMiRA: Atomic Decomposition for Minimum Rank Approximation".
IEEE Trans. Inf. Theory, 2013

Learning Doubly Sparse Transforms for Images.
IEEE Trans. Image Process., 2013

Near Optimal Compressed Sensing of Sparse Rank-One Matrices via Sparse Power Factorization.
CoRR, 2013

Oblique pursuits for compressed sensing with random anisotropic measurements.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Sparsifying transform learning for Compressed Sensing MRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Subspace penalized sparse learning for joint sparse recovery.
Proceedings of the IEEE International Conference on Acoustics, 2013

Closed-form solutions within sparsifying transform learning.
Proceedings of the IEEE International Conference on Acoustics, 2013

Learning overcomplete sparsifying transforms for signal processing.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Subspace Methods for Joint Sparse Recovery.
IEEE Trans. Inf. Theory, 2012

Learning doubly sparse transforms for image representation.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Learning sparsifying transforms for image processing.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
Generic Feasibility of Perfect Reconstruction With Short FIR Filters in Multichannel Systems.
IEEE Trans. Signal Process., 2011

Guest Editorial Compressive Sensing for Biomedical Imaging.
IEEE Trans. Medical Imaging, 2011

MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning.
IEEE Trans. Medical Imaging, 2011

Compressive Diffuse Optical Tomography: Noniterative Exact Reconstruction Using Joint Sparsity.
IEEE Trans. Medical Imaging, 2011

Generic Feasibility of Perfect Reconstruction with Short FIR Filters in Multi-channel Systems
CoRR, 2011

Distortion-optimal self-calibrating parallel MRI by blind interpolation in subsampled filter banks.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Highly undersampled MRI using adaptive sparse representations.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Diffuse optical tomography using generalized music algorithm.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Adaptive sampling design for compressed sensing MRI.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
ADMiRA: atomic decomposition for minimum rank approximation.
IEEE Trans. Inf. Theory, 2010

iMUSIC: Iterative MUSIC Algorithm for Joint Sparse Recovery with Any Rank
CoRR, 2010

2009
Guaranteed Minimum Rank Approximation from Linear Observations by Nuclear Norm Minimization with an Ellipsoidal Constraint
CoRR, 2009

Efficient and guaranteed rank minimization by atomic decomposition.
Proceedings of the IEEE International Symposium on Information Theory, 2009

2008
Exact reconstruction formula for diffuse optical tomography using simultaneous sparse representation.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Time-resolved cardiac CT reconstruction using the ensemble Kalman Filter.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Upper bounds on aliasing error energy for multidimensional sampling of nonbandlimited signals.
Proceedings of the IEEE International Conference on Acoustics, 2008

Computing performance guarantees for compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2008

Fast acquisition and reconstruction in imaging enabled by sampling theory.
Proceedings of the Computational Imaging VI, 2008

2007
Shear-Based Fast Hierarchical Backprojection for Parallel-Beam Tomography.
IEEE Trans. Medical Imaging, 2007

Fast Tomographic Reconstruction via Rotation-Based Hierarchical Backprojection.
SIAM J. Appl. Math., 2007

Affine-Corrected Paradise: Free-Breathing Patient-Adaptive Cardiac Mri With Sensitivity Encoding.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Adaptive Real-Time Cardiac MRI Using Paradise: Validation by the Physiologically Improved Ncat Phantom.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Patient-Adaptive Spatio-Temporal Mri: From Paradigm to Paradise and Beyond.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
Asymptotic Global Confidence Regions for 3-D Parametric Shape Estimation in Inverse Problems.
IEEE Trans. Image Process., 2006

Optimal multi-channel time-sequential acquisition in dynamic MRI with parallel coils.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Reconstruction of functional activations in diffuse optical imaging.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

A fast and accurate decimation-in-angle hierarchical fan-beam backprojection algorithm.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Region-of-interest MRI: k-space sampling conditions.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2005
Antisequential Suffix Sorting for BWT-Based Data Compression.
IEEE Trans. Computers, 2005

2004
Multiple-Input Multiple-Output Sampling: Necessary Density Conditions.
IEEE Trans. Inf. Theory, 2004

An O(N) semipredictive universal encoder via the BWT.
IEEE Trans. Inf. Theory, 2004

A Hierarchical Algorithm for Fast Backprojection in Helical Cone-Beam Tomography.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Spatio-Temporal Modeling and Adaptive Acquisition for Cardiac MRI.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Accelerated Parallel Magnetic Resonance Imaging by Adaptive K-Space Sampling.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003
Filter design for MIMO sampling and reconstruction.
IEEE Trans. Signal Process., 2003

Sampling theorems for uniform and periodic nonuniform MIMO sampling of multiband signals.
IEEE Trans. Signal Process., 2003

Cramer-Rao bounds for parametric shape estimation in inverse problems.
IEEE Trans. Image Process., 2003

Fast Feldkamp algorithm for cone-beam computer tomography.
Proceedings of the 2003 International Conference on Image Processing, 2003

Fast hierarchical backprojection for helical cone-beam tomography.
Proceedings of the 2003 International Conference on Image Processing, 2003

Optimal sampling in parallel magnetic resonance imaging.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Electro-magnetic Impedance Tomography (EMIT): A New Method for Impedance Imaging.
IEEE Trans. Medical Imaging, 2002

O (N3logN) Backprojection Algorithm for the 3D Radon Transform.
IEEE Trans. Medical Imaging, 2002

A Self-Referencing Level-Set Method for Image Reconstruction from Sparse Fourier Samples.
Int. J. Comput. Vis., 2002

O(N<sup>2</sup> log N) native fan-beam tomographic reconstruction.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

Fast acquisition and sampling in MRI: Introduction to time-sequential sampling of spatio-temporal signals.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

Spatio-temporal modeling and minimum redundancy adaptive acquisition in dynamic MRI.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

Cramer-Rao bounds for parametric shape estimation.
Proceedings of the 2002 International Conference on Image Processing, 2002

Complexity regularized shape estimation from noisy Fourier data.
Proceedings of the 2002 International Conference on Image Processing, 2002

2001
Optimal sub-Nyquist nonuniform sampling and reconstruction for multiband signals.
IEEE Trans. Signal Process., 2001

Error analysis and performance optimization of fast hierarchical backprojection algorithms.
IEEE Trans. Image Process., 2001

2000
Performance analysis of the approximate dynamic programming algorithm for parameter estimation of superimposed signals.
IEEE Trans. Signal Process., 2000

The stability of nonlinear least squares problems and the Cramer-Rao bound.
IEEE Trans. Signal Process., 2000

Asymptotic global confidence regions in parametric shape estimation problems.
IEEE Trans. Inf. Theory, 2000

Perfect reconstruction formulas and bounds on aliasing error in sub-nyquist nonuniform sampling of multiband signals.
IEEE Trans. Inf. Theory, 2000

A global lower bound on parameter estimation error with periodic distortion functions.
IEEE Trans. Inf. Theory, 2000

A multilevel domain decomposition algorithm for fast O(N<sup>2</sup>logN) reprojection of tomographic images.
IEEE Trans. Image Process., 2000

O(N<sup>2</sup>log<sub>2</sub>N) filtered backprojection reconstruction algorithm for tomography.
IEEE Trans. Image Process., 2000

Feasibility of tomography with unknown view angles.
IEEE Trans. Image Process., 2000

Uniqueness of tomography with unknown view angles.
IEEE Trans. Image Process., 2000

On the Optimality of the Backward Greedy Algorithm for the Subset Selection Problem.
SIAM J. Matrix Anal. Appl., 2000

Global confidence regions in parametric shape estimation.
Proceedings of the IEEE International Conference on Acoustics, 2000

On the necessary density for spectrum-blind nonuniform sampling subject to quantization.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Theoretical analysis of multispectral image segmentation criteria.
IEEE Trans. Image Process., 1999

Exact image deconvolution from multiple FIR blurs.
IEEE Trans. Image Process., 1999

Perfect blind restoration of images blurred by multiple filters: theory and efficient algorithms.
IEEE Trans. Image Process., 1999

1998
FIR perfect signal reconstruction from multiple convolutions: minimum deconvolver orders.
IEEE Trans. Signal Process., 1998

Globally convergent edge-preserving regularized reconstruction: an application to limited-angle tomography.
IEEE Trans. Image Process., 1998

Further Results on Spectrum Blind Sampling of 2D Signals.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Sub-Nyquist sampling of multiband signals: perfect reconstruction and bounds on aliasing error.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Fast optimal and suboptimal algorithms for sparse solutions to linear inverse problems.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
The degradation of higher order spectral detection using narrowband processing.
IEEE Trans. Signal Process., 1997

Lattice-theoretic analysis of time-sequential sampling of spatiotemporal signals: II. Large space-bandwidth product asymptotics.
IEEE Trans. Inf. Theory, 1997

Lattice-theoretic analysis of time-sequential sampling of spatiotemporal signals: I.
IEEE Trans. Inf. Theory, 1997

Doppler-based motion estimation for wide-band sources from single passive sensor measurements.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Tomography with unknown view angles.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
On the robustness of parameter estimation of superimposed signals by dynamic programming.
IEEE Trans. Signal Process., 1996

On the use of asymptotics in detection and estimation.
IEEE Trans. Signal Process., 1996

A comparison of optimized higher order spectral detection techniques for non-Gaussian signals.
IEEE Trans. Signal Process., 1996

Bounds on the aliasing error in multidimensional Shannon sampling.
IEEE Trans. Inf. Theory, 1996

Feature extraction techniques for exploratory visualization of vector-valued imagery.
IEEE Trans. Image Process., 1996

A fast and accurate Fourier algorithm for iterative parallel-beam tomography.
IEEE Trans. Image Process., 1996

Efficient algorithms for the blind recovery of images blurred by multiple filters.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

Spectrum-blind minimum-rate sampling and reconstruction of 2-D multiband signals.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

A new algorithm for computing sparse solutions to linear inverse problems.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Spectrum-blind minimum-rate sampling and reconstruction of multiband signals.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Dictionary-based decomposition of linear mixtures of Gaussian processes.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
Optimal scan for time-varying tomography. II. Efficient design and experimental validation.
IEEE Trans. Image Process., 1995

Optimal scan for time-varying tomography. I. Theoretical analysis and fundamental limitations.
IEEE Trans. Image Process., 1995

Multiresolution tomographic reconstruction using wavelets.
IEEE Trans. Image Process., 1995

Efficient edge-preserving regularization for limited-angle tomography.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

A fast iterative tomographic reconstruction algorithm.
Proceedings of the 1995 International Conference on Acoustics, 1995

Decomposition of a mixture of Gaussian AR processes.
Proceedings of the 1995 International Conference on Acoustics, 1995

Some recent results in tomography.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
Analysis of feature extraction criteria for vector field visualization.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

Unified time-sequential sampling theory for spatio-temporal signals.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

Theoretical Analysis of a Multiscale Algorithm for the Direct Segmentation of Tomographic Images.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

Vector Field Visualization: Analysis of Feature Extraction Methods.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

1993
Maximum likelihood parameter estimation of superimposed signals by dynamic programming.
IEEE Trans. Signal Process., 1993

Design and theoretical analysis of a vector field segmentation algorithm.
Proceedings of the IEEE International Conference on Acoustics, 1993

On the inferiority of higher-order detection in narrowband processing.
Proceedings of the IEEE International Conference on Acoustics, 1993

Optimal scan design for time-varying tomographic imaging.
Proceedings of the IEEE International Conference on Acoustics, 1993

1992
Worst case Cramer-Rao bounds for parametric estimation of superimposed signals with applications.
IEEE Trans. Signal Process., 1992

A compact Cramer-Rao bound expression for parametric estimation of superimposed signals.
IEEE Trans. Signal Process., 1992

Norm variance of minimax interpolation.
IEEE Trans. Inf. Theory, 1992

Maximum likelihood parameter estimation and subspace fitting of superimposed signals by dynamic programming - An approximate method.
Signal Process., 1992

Multiparameter image visualization by projection pursuit (Proceedings Only).
Proceedings of the Visualization in Biomedical Computing '92, 1992

New paradigm for optimal multiparameter image visualization.
Proceedings of the Visualization in Biomedical Computing '92, 1992

Image restoration by complexity regularization via dynamic programming.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

A new approach to the time-sequential sampling problem.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991
Performance analysis of parameter estimation of superimposed signals by dynamic programming.
Proceedings of the 1991 International Conference on Acoustics, 1991

On the resolution capacity of wideband sensor arrays: further results.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
Parameter estimation of superimposed signals by dynamic programming.
Proceedings of the 1990 International Conference on Acoustics, 1990

A parametric technique for superresolution image reconstruction.
Proceedings of the 1990 International Conference on Acoustics, 1990

1989
A Bayesian Approach to Reconstruction from Incomplete Projections of a Multiple Object 3D Domain.
IEEE Trans. Pattern Anal. Mach. Intell., 1989

Optimal interpolation in helical scan 3D computerized tomography.
Proceedings of the IEEE International Conference on Acoustics, 1989

Resolution of overlapping echoes of unknown shape.
Proceedings of the IEEE International Conference on Acoustics, 1989

1988
Optimum beamforming for coherent signal and interferences.
IEEE Trans. Acoust. Speech Signal Process., 1988

Model-based estimation techniques for 3-D reconstruction from projections.
Mach. Vis. Appl., 1988

1987
Three-dimensional reconstruction from projections with incomplete and noisy data by object estimation.
IEEE Trans. Acoust. Speech Signal Process., 1987

Recursive image registration with application to motion estimation.
IEEE Trans. Acoust. Speech Signal Process., 1987

A polynomial approach to optimum beamforming for correlated or coherent signal and interference.
Proceedings of the IEEE International Conference on Acoustics, 1987

1986
On the number of signals resolvable by a uniform linear array.
IEEE Trans. Acoust. Speech Signal Process., 1986

Exact maximum likelihood parameter estimation of superimposed exponential signals in noise.
IEEE Trans. Acoust. Speech Signal Process., 1986

1985
Exact maximum likelihood estimation of superimposed exponential signals in noise.
Proceedings of the IEEE International Conference on Acoustics, 1985

1984
3-D reconstruction from projections based on dynamic object models.
Proceedings of the IEEE International Conference on Acoustics, 1984


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