Miguel R. D. Rodrigues

According to our database1, Miguel R. D. Rodrigues authored at least 143 papers between 2002 and 2018.

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Bibliography

2018
Compressive Sensing With Side Information: How to Optimally Capture This Extra Information for GMM Signals?
IEEE Trans. Signal Processing, 2018

Generalization Error in Deep Learning.
CoRR, 2018

Hardware-Limited Task-Based Quantization.
CoRR, 2018

Multimodal Image Denoising based on Coupled Dictionary Learning.
CoRR, 2018

Coupled Dictionary Learning for Multi-contrast MRI Reconstruction.
CoRR, 2018

Multi-modal Image Processing based on Coupled Dictionary Learning.
CoRR, 2018

Learning to Collaborate for User-Controlled Privacy.
CoRR, 2018

Data aggregation and recovery for the Internet of Things: A compressive demixing approach.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

Multi-Modal Image Processing Based on Coupled Dictionary Learning.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Multimodal Image Denoising Based on Coupled Dictionary Learning.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

On Deep Learning for Inverse Problems.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Robust Large Margin Deep Neural Networks.
IEEE Trans. Signal Processing, 2017

Compressed Sensing With Prior Information: Strategies, Geometry, and Bounds.
IEEE Trans. Information Theory, 2017

Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation.
IEEE Trans. Image Processing, 2017

Heterogeneous Networked Data Recovery From Compressive Measurements Using a Copula Prior.
IEEE Trans. Communications, 2017

Information-Theoretic Compressive Measurement Design.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Multimodal Image Super-Resolution via Joint Sparse Representations induced by Coupled Dictionaries.
CoRR, 2017

Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems.
CoRR, 2017

Learning to Identify While Failing to Discriminate.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Rate-distortion trade-offs in acquisition of signal parameters.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Generalization Error of Invariant Classifiers.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification.
IEEE Trans. Signal Processing, 2016

Bounds on the Number of Measurements for Reliable Compressive Classification.
IEEE Trans. Signal Processing, 2016

Adaptive-Rate Reconstruction of Time-Varying Signals With Application in Compressive Foreground Extraction.
IEEE Trans. Signal Processing, 2016

Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information.
IEEE Trans. Information Theory, 2016

Generalization Error of Invariant Classifiers.
CoRR, 2016

Margin Preservation of Deep Neural Networks.
CoRR, 2016

Bounds on the Number of Measurements for Reliable Compressive Classification.
CoRR, 2016

Multi-modal dictionary learning for image separation with application in art investigation.
CoRR, 2016

X-ray image separation via coupled dictionary learning.
CoRR, 2016

Measurement matrix design for compressive sensing with side information at the encoder.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

On the design of linear projections for compressive sensing with side information.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Internet-of-Things data aggregation using compressed sensing with side information.
Proceedings of the 23rd International Conference on Telecommunications, 2016

X-ray image separation via coupled dictionary learning.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

A general framework for reconstruction and classification from compressive measurements with side information.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Reference-based compressed sensing: A sample complexity approach.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Signal reconstruction in the presence of side information: The impact of projection kernel design.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Coupled dictionary learning for multimodal image super-resolution.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Bayesian Compressed Sensing with Heterogeneous Side Information.
Proceedings of the 2016 Data Compression Conference, 2016

2015
Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers.
IEEE Trans. Information Theory, 2015

Dictionary Design for Distributed Compressive Sensing.
IEEE Signal Process. Lett., 2015

Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements.
SIAM J. Imaging Sciences, 2015

Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification.
CoRR, 2015

Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction.
CoRR, 2015

A concentration-of-measure inequality for multiple-measurement models.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Mismatch in the classification of linear subspaces: Upper bound to the probability of error.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Classification and reconstruction of compressed GMM signals with side information.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Alignment with intra-class structure can improve classification.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A feature design framework for hardware efficient neural spike sorting.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Reconstruction of Signals Drawn From a Gaussian Mixture Via Noisy Compressive Measurements.
IEEE Trans. Signal Processing, 2014

A Bregman Matrix and the Gradient of Mutual Information for Vector Poisson and Gaussian Channels.
IEEE Trans. Information Theory, 2014

Multiple-Antenna Fading Channels With Arbitrary Inputs: Characterization and Optimization of the Information Rate.
IEEE Trans. Information Theory, 2014

Fading Channels With Arbitrary Inputs: Asymptotics of the Constrained Capacity and Information and Estimation Measures.
IEEE Trans. Information Theory, 2014

Best binary equivocation code construction for syndrome coding.
IET Communications, 2014

Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Noisy Features in the Presence of Side Information.
CoRR, 2014

Compressive Classification of a Mixture of Gaussians: Analysis, Designs and Geometrical Interpretation.
CoRR, 2014

Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers.
CoRR, 2014

Latent Sentiment Detection in Online Social Networks: A Communications-oriented View.
CoRR, 2014

Compressed Sensing With Side Information: Geometrical Interpretation and Performance Bounds.
CoRR, 2014

Compressed Sensing with Prior Information: Optimal Strategies, Geometry, and Bounds.
CoRR, 2014

Discrimination on the grassmann manifold: Fundamental limits of subspace classifiers.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Nonlinear Information-Theoretic Compressive Measurement Design.
Proceedings of the 31th International Conference on Machine Learning, 2014

Latent sentiment detection in Online Social Networks: A communications-oriented view.
Proceedings of the IEEE International Conference on Communications, 2014

Information-theoretic criteria for the design of compressive subspace classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2014

Compressed sensing with side information: Geometrical interpretation and performance bounds.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
Filter Design With Secrecy Constraints: The MIMO Gaussian Wiretap Channel.
IEEE Trans. Signal Processing, 2013

Projection Design for Statistical Compressive Sensing: A Tight Frame Based Approach.
IEEE Trans. Signal Processing, 2013

Dictionary Learning With Optimized Projection Design for Compressive Sensing Applications.
IEEE Signal Process. Lett., 2013

Filter Design with Secrecy Constraints: The MIMO Gaussian Wiretap Channel
CoRR, 2013

Compressive Classification
CoRR, 2013

Projection Design For Statistical Compressive Sensing: A Tight Frame Based Approach
CoRR, 2013

Generalized Bregman Divergence and Gradient of Mutual Information for Vector Poisson Channels
CoRR, 2013

Reconstruction of Signals Drawn from a Gaussian Mixture from Noisy Compressive Measurements: MMSE Phase Transitions and Beyond.
CoRR, 2013

Towards Energy Neutrality in Energy Harvesting Wireless Sensor Networks: A Case for Distributed Compressive Sensing?
CoRR, 2013

Unlocking Energy Neutrality in Energy Harvesting Wireless Sensor Networks: An Approach Based on Distributed Compressed Sensing.
CoRR, 2013

Designed Measurements for Vector Count Data.
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

Information-theoretic limits on the classification of Gaussian mixtures: Classification on the Grassmann manifold.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Generalized Bregman divergence and gradient of mutual information for vector Poisson channels.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Compressive classification.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Characterization and optimization of the constrained capacity of coherent fading channels driven by arbitrary inputs: A Mellin transform based asymptotic approach.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

On the comprehension of DSL SyncTrap events in IPTV networks.
Proceedings of the 2013 IEEE Symposium on Computers and Communications, 2013

Power allocation strategies for OFDM Gaussian wiretap channels with a friendly jammer.
Proceedings of IEEE International Conference on Communications, 2013

Compressive sensing for incoherent imaging systems with optical constraints.
Proceedings of the IEEE International Conference on Acoustics, 2013

Towards energy neutrality in energy harvesting wireless sensor networks: A case for distributed compressive sensing?
Proceedings of the 2013 IEEE Global Communications Conference, 2013

Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Projections designs for compressive classification.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
A Frechet Mean Approach for Compressive Sensing Date Acquisition and Reconstruction in Wireless Sensor Networks.
IEEE Trans. Wireless Communications, 2012

On the Use of Unit-Norm Tight Frames to Improve the Average MSE Performance in Compressive Sensing Applications.
IEEE Signal Process. Lett., 2012

Communications-Inspired Projection Design with Application to Compressive Sensing.
SIAM J. Imaging Sciences, 2012

Coherent Fading Channels Driven by Arbitrary Inputs: Asymptotic Characterization of the Constrained Capacity and Related Information- and Estimation-Theoretic Quantities.
CoRR, 2012

Communications-Inspired Projection Design with Application to Compressive Sensing
CoRR, 2012

A zero-sum power allocation game in the parallel Gaussian wiretap channel with an unfriendly jammer
Proceedings of the ICCS'12: The 12th International Conference on Communication Systems, 2012

Orthogonal Signalling in the Gaussian Wiretap Channel in the Wideband Regime.
Proceedings of the 75th IEEE Vehicular Technology Conference, 2012

Filter design with secrecy constraints: Zero-forcing constraint at the legitimate receiver.
Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012

Characterization of the constrained capacity of multiple-antenna fading coherent channels driven by arbitrary inputs.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Communications Inspired Linear Discriminant Analysis.
Proceedings of the 29th International Conference on Machine Learning, 2012

A zero-sum power allocation game in the parallel Gaussian wiretap channel with an unfriendly jammer.
Proceedings of the IEEE International Conference on Communication Systems, 2012

On the benefit of using tight frames for robust data transmission and compressive data gathering in wireless sensor networks.
Proceedings of IEEE International Conference on Communications, 2012

How to focus the discriminative power of a dictionary.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

On the design of optimized projections for sensing sparse signals in overcomplete dictionaries.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Towards the improvement of diagnostic metrics Fault diagnosis for DSL-Based IPTV networks using the Rényi entropy.
Proceedings of the 2012 IEEE Global Communications Conference, 2012

2011
On Wireless Channels With varepsilon-Outage Secrecy Capacity.
IEEE Trans. Information Forensics and Security, 2011

Characterization of Demapper EXIT Functions with BEC a priori Information with Applications to BICM-ID.
IEEE Trans. Communications, 2011

Filter Design with Secrecy Constraints: The Degraded Multiple-Input Multiple-Output Gaussian Wiretap Channel.
Proceedings of the 73rd IEEE Vehicular Technology Conference, 2011

On the constrained capacity of multi-antenna fading coherent channels with discrete inputs.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Distributed Compressive Sensing Reconstruction via Common Support Discovery.
Proceedings of IEEE International Conference on Communications, 2011

Filter design with secrecy constraints: The multiple-input multiple-output Gaussian wiretap channel with zero forcing receive filters.
Proceedings of the IEEE International Conference on Acoustics, 2011

When to add another dimension when communicating over MIMO channels.
Proceedings of the IEEE International Conference on Acoustics, 2011

Penalized L1 minimization for reconstruction of time-varying sparse signals.
Proceedings of the IEEE International Conference on Acoustics, 2011

Design of filters for reliable and secure communications conditional mean estimation at the eavesdropper.
Proceedings of EUROCON 2011, 2011

2010
MIMO Gaussian channels with arbitrary inputs: optimal precoding and power allocation.
IEEE Trans. Information Theory, 2010

Performance-complexity tradeoff of convolutional codes for broadband fixed wireless access systems.
IET Communications, 2010

A Fast Constrained Sphere Decoder for Ill Conditioned Communication Systems.
IEEE Communications Letters, 2010

Joint channel equalization and detection of Spectrally Efficient FDM signals.
Proceedings of the IEEE 21st International Symposium on Personal, 2010

Modelling the decoder and demapper EXIT chart curves in BICM-ID systems: BEC approximations.
Proceedings of the IEEE International Symposium on Information Theory, 2010

On Wireless Channels with M-Antenna Eavesdroppers: Characterization of the Outage Probability and Outage Secrecy Capacity.
Proceedings of the Global Communications Conference, 2010

2009
The augmented state diagram and its application to convolutional and turbo codes.
IEEE Trans. Communications, 2009

Analysis and design of punctured rate-1/2 turbo codes exhibiting low error floors.
IEEE Journal on Selected Areas in Communications, 2009

Investigation of a Semidefinite Programming detection for a spectrally efficient FDM system.
Proceedings of the IEEE 20th International Symposium on Personal, 2009

On multiple-input multiple-output Gaussian channels with arbitrary inputs subject to jamming.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Spectrally Efficient FDM Signals: Bandwidth Gain at the Expense of Receiver Complexity.
Proceedings of IEEE International Conference on Communications, 2009

2008
Wireless Information-Theoretic Security.
IEEE Trans. Information Theory, 2008

Performance analysis of turbo codes in quasi-static fading channels.
IET Communications, 2008

Optimal Precoding for Digital Subscriber Lines.
Proceedings of IEEE International Conference on Communications, 2008

Filter Design with Secrecy Constraints: The Degraded Parallel Gaussian Wiretap Channel.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008

A combined MMSE-ML detection for a spectrally efficient non orthogonal FDM signal.
Proceedings of the 5th International ICST Conference on Broadband Communications, 2008

2007
Comparison of Convolutional and Turbo Coding for Broadband FWA Systems.
TBC, 2007

Lattice-reduction-aided detection for MIMO-OFDM-CDM communication systems.
IET Communications, 2007

A Union Bound Approximation for Rapid Performance Evaluation of Punctured Turbo Codes
CoRR, 2007

Can Punctured Rate-1/2 Turbo Codes Achieve a Lower Error Floor than their Rate-1/3 Parent Codes?
CoRR, 2007

Pseudo-random Puncturing: A Technique to Lower the Error Floor of Turbo Codes
CoRR, 2007

On the Performance of Iterative Demapping and Decoding Techniques over Quasi-Static Fading Channels.
Proceedings of the IEEE 18th International Symposium on Personal, 2007

Pseudo-random Puncturing: A Technique to Lower the Error Floor of Turbo Codes.
Proceedings of the IEEE International Symposium on Information Theory, 2007

A Union Bound Approximation for Rapid Performance Evaluation of Punctured Turbo Codes.
Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007

2006
IMD reduction with SLM and PTS to improve the error-probability performance of nonlinearly distorted OFDM signals.
IEEE Trans. Vehicular Technology, 2006

Wireless Information-Theoretic Security - Part II: Practical Implementation
CoRR, 2006

Wireless Information-Theoretic Security - Part I: Theoretical Aspects
CoRR, 2006

A Novel Technique To Evaluate the Transfer Function of Punctured Turbo Codes.
Proceedings of IEEE International Conference on Communications, 2006

2005
On the Performance of Turbo Codes in Quasi-Static Fading Channels
CoRR, 2005

2004
SLM and PTS based on an IMD reduction strategy to improve the error probability performance of non-linearly distorted OFDM signals.
Proceedings of IEEE International Conference on Communications, 2004

2002
Performance assessment of MC-CDMA and MC-DS-CDMA in the presence of high power amplifier non-linearities.
Proceedings of the 55th IEEE Vehicular Technology Conference, 2002


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