3D mesh geometry filtering algorithms for progressive transmission schemes. - Radu V. Balan; Gabriel Taubin (Comput. Aided Des., 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)

Scalable non-square blind source separation in the presence of noise. - Radu V. Balan; Justinian Rosca; Scott Rickard (ICASSP (5), 2003)

Multi-channel psychoacoustically motivated speech enhancement. - Justinian Rosca; Radu V. Balan; Christophe Beaugeant (ICASSP (1), 2003)

Deficits and Excesses of Frames. - Radu V. Balan; Peter G. Casazza; Christopher Heil; Zeph Landau (Adv. Comput. Math., 2003)

Time-frequency and time-scale canonical representations of doubly spread channels. - Radu V. Balan; H. Vincent Poor; Scott T. Rickard; Sergio Verdú (EUSIPCO, 2004)

Bayesian single channel speech enhancement exploiting sparseness in the ICA domain. - Liang Hong; Justinian Rosca; Radu V. Balan (EUSIPCO, 2004)

Generalized sparse signal mixing model and application to noisy blind source separation. - Justinian Rosca; Christian Borß; Radu V. Balan (ICASSP (3), 2004)

Speaker Verification with Combined Threshold, Identification Front-End, and UBM. - Ningping Fan; Justinian P. Rosca; Radu V. Balan (AutoID, 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)

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)

Convolutive Demixing with Sparse Discrete Prior Models for Markov Sources. - Radu V. Balan; Justinian P. Rosca (ICA, 2006)

Source Separation Using Sparse Discrete Prior Models. - Radu V. Balan; Justinian Rosca (ICASSP (4), 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 (IWCMC, 2006)

Energy Efficiency and Delay Quality-of-Service in Wireless Networks - Farhad Meshkati; H. Vincent Poor; Stuart C. Schwartz; Radu V. Balan (CoRR, 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)

Estimator for Number of Sources Using Minimum Description Length Criterion for Blind Sparse Source Mixtures. - Radu V. Balan (ICA, 2007)

Speech Noise Estimation using Enhanced Minima Controlled Recursive Averaging. - Ningping Fan; Justinian Rosca; Radu V. Balan (ICASSP (4), 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)

Information theory based estimator of the number of sources in a sparse linear mixing model. - Radu V. Balan (CISS, 2008)

Frames for linear reconstruction without phase. - Bernhard G. Bodmann; Peter G. Casazza; Dan Edidin; Radu V. Balan (CISS, 2008)

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)

On signal reconstruction from its spectrogram. - Radu V. Balan (CISS, 2010)

Cooperative radar techniques: The two-step detector. - Max Scharrenbroich; Michael Zatman; Radu V. Balan (ACSCC, 2011)

Performance of a practical two-step detector for non-fluctuating targets. - Max Scharrenbroich; Michael Zatman; Radu V. Balan (SAM, 2012)

Optimal beam pattern design for very large sensor arrays with sparse sampling. - Yenming Mark Lai; Radu V. Balan; Heiko Claussen; Justinian Rosca (ACSSC, 2013)

Broadband sensor location selection using convex optimization in very large scale arrays. - Yenming Mark Lai; Radu V. Balan; Heiko Claussen; Justinian P. Rosca (WASPAA, 2013)

Phase Retrieval using Lipschitz Continuous Maps. - Radu V. Balan; Dongmian Zou (CoRR, 2014)

Reconstruction of Signals from Magnitudes of Redundant Representations: The Complex Case. - Radu V. Balan (Found. Comput. Math., 2016)

Lipschitz Properties for Deep Convolutional Networks. - Radu V. Balan; Maneesh Singh 001; Dongmian Zou (CoRR, 2017)

Learning Flexible Representations of Stochastic Processes on Graphs. - Addison W. Bohannon; Brian M. Sadler; Radu V. Balan (DSW, 2018)

On Lipschitz Bounds of General Convolutional Neural Networks. - Dongmian Zou; Radu V. Balan; Maneesh Singh 001 (IEEE Trans. Inf. Theory, 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)

VQ-Flows: Vector quantized local normalizing flows. - Sahil Sidheekh; Chris B. Dock; Tushar Jain; Radu V. Balan; Maneesh Kumar Singh 001 (UAI, 2022)

Permutation Invariant Representations with Applications to Graph Deep Learning. - Radu V. Balan; Naveed Haghani; Maneesh Singh 001 (CoRR, 2022)

Lipschitz Analysis of Generalized Phase Retrievable Matrix Frames. - Radu V. Balan; Chris B. Dock (SIAM J. Matrix Anal. Appl., 2022)

Motion Correction for Brain MRI Using Deep Learning and a Novel Hybrid Loss Function. - Lei Zhang 036; Xiaoke Wang; Michael G. Rawson; Radu V. Balan; Edward H. Herskovits; Elias R. Melhem; Linda Chang; Ze Wang 003; Thomas Ernst 001 (Algorithms, 2024)