Radu V. Balan

According to our database, Radu V. Balan authored at least 33 papers between 2000 and 2022.

Collaborative distances:

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

2022

Lipschitz Analysis of Generalized Phase Retrievable Matrix Frames.

Radu V. Balan, Chris B. Dock

SIAM J. Matrix Anal. Appl., September, 2022

Permutation Invariant Representations with Applications to Graph Deep Learning.

Radu V. Balan, Naveed Haghani, Maneesh Singh

CoRR, 2022

VQ-Flows: Vector quantized local normalizing flows.

Sahil Sidheekh, Chris B. Dock, Tushar Jain, Radu V. Balan, Maneesh Kumar Singh

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2020

The Autoregressive Linear Mixture Model: A Time-Series Model for an Instantaneous Mixture of Network Processes.

Addison W. Bohannon, Vernon J. Lawhern, Nicholas R. Waytowich, Radu V. Balan

IEEE Trans. Signal Process., 2020

On Lipschitz Bounds of General Convolutional Neural Networks.

Dongmian Zou, Radu V. Balan, Maneesh Singh

IEEE Trans. Inf. Theory, 2020

2018

Learning Flexible Representations of Stochastic Processes on Graphs.

Addison W. Bohannon, Brian M. Sadler, Radu V. Balan

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

Lipschitz Properties for Deep Convolutional Networks.

Radu V. Balan, Maneesh Singh, Dongmian Zou

CoRR, 2017

2014

Phase Retrieval using Lipschitz Continuous Maps.

Radu V. Balan, Dongmian Zou

CoRR, 2014

2013

Broadband sensor location selection using convex optimization in very large scale arrays.

Yenming M. Lai, Radu V. Balan, Heiko Claussen, Justinian P. Rosca

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Optimal beam pattern design for very large sensor arrays with sparse sampling.

Yenming M. Lai, Radu V. Balan, Heiko Claussen, Justinian Rosca

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2010

On signal reconstruction from its spectrogram.

Radu V. Balan

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

2009

Energy-efficient resource allocation in wireless networks with quality-of-service constraints.

Farhad Meshkati, H. Vincent Poor, Stuart C. Schwartz, Radu V. Balan

IEEE Trans. Commun., 2009

2008

Frames for linear reconstruction without phase.

Bernhard G. Bodmann, Peter G. Casazza, Dan Edidin, Radu V. Balan

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

Information theory based estimator of the number of sources in a sparse linear mixing model.

Radu V. Balan

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

2007

Equivalence of Reconstruction From the Absolute Value of the Frame Coefficients to a Sparse Representation Problem.

Radu V. Balan, Peter G. Casazza, Dan Edidin

IEEE Signal Process. Lett., 2007

Speech Noise Estimation using Enhanced Minima Controlled Recursive Averaging.

Ningping Fan, Justinian Rosca, Radu V. Balan

Proceedings of the IEEE International Conference on Acoustics, 2007

Estimator for Number of Sources Using Minimum Description Length Criterion for Blind Sparse Source Mixtures.

Radu V. Balan

Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006

Frames and Overcomplete Representations in Signal Processing, Communications, and Information Theory.

Radu V. Balan, Yonina C. Eldar, Thomas Strohmer

EURASIP J. Adv. Signal Process., 2006

Energy Efficiency and Delay Quality-of-Service in Wireless Networks

Farhad Meshkati, H. Vincent Poor, Stuart C. Schwartz, Radu V. Balan

CoRR, 2006

Energy-efficient power and rate control with QoS constraints: a game-theoretic approach.

Farhad Meshkati, H. Vincent Poor, Stuart C. Schwartz, Radu V. Balan

Proceedings of the International Conference on Wireless Communications and Mobile Computing, 2006

Source Separation Using Sparse Discrete Prior Models.

Radu V. Balan, Justinian Rosca

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Convolutive Demixing with Sparse Discrete Prior Models for Markov Sources.

Radu V. Balan, Justinian P. Rosca

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005

Equivalence principle for optimization of sparse versus low-spread representations for signal estimation in noise.

Radu V. Balan, Justinian Rosca, Scott Rickard

Int. J. Imaging Syst. Technol., 2005

Canonical time-frequency, time-scale, and frequency-scale representations of time-varying channels.

Radu V. Balan, H. Vincent Poor, Scott T. Rickard, Sergio Verdú

Commun. Inf. Syst., 2005

Speaker Verification with Combined Threshold, Identification Front-End, and UBM.

Ningping Fan, Justinian P. Rosca, Radu V. Balan

Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID 2005), 2005

2004

Generalized sparse signal mixing model and application to noisy blind source separation.

Justinian Rosca, Christian Borß, Radu V. Balan

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Bayesian single channel speech enhancement exploiting sparseness in the ICA domain.

Liang Hong, Justinian Rosca, Radu V. Balan

Proceedings of the 2004 12th European Signal Processing Conference, 2004

Time-frequency and time-scale canonical representations of doubly spread channels.

Radu V. Balan, H. Vincent Poor, Scott T. Rickard, Sergio Verdú

Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003

Deficits and Excesses of Frames.

Radu V. Balan, Peter G. Casazza, Christopher Heil, Zeph Landau

Adv. Comput. Math., 2003

Multi-channel psychoacoustically motivated speech enhancement.

Justinian Rosca, Radu V. Balan, Christophe Beaugeant

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Scalable non-square blind source separation in the presence of noise.

Radu V. Balan, Justinian Rosca, Scott Rickard

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2000

The analysis and design of windowed Fourier frame based multiple description source coding schemes.

Radu V. Balan, Ingrid Daubechies, Vinay A. Vaishampayan

IEEE Trans. Inf. Theory, 2000

3D mesh geometry filtering algorithms for progressive transmission schemes.

Radu V. Balan, Gabriel Taubin

Comput. Aided Des., 2000