Daniel Pérez Palomar

ORCID

Publication Activity (10 Years)

Years Active: 2000-2020
Publications (10 Years): 14

Top Venues

CoRR

IEEE Trans. Signal Process.

ICASSP

ACSSC

Publications

José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel Pérez Palomar
Algorithms for Learning Graphs in Financial Markets. CoRR (2020)
Abdelhak M. Zoubir, Jorge Plata-Chaves, Daniel Pérez Palomar, Anna Scaglione, Alejandro Ribeiro
Introduction to the Issue on Cooperative Signal Processing for Heterogeneous and Multi-Task Wireless Sensor Networks. IEEE J. Sel. Top. Signal Process. 11 (3) (2017)
Javier Rubio, Antonio Pascual-Iserte, Daniel Pérez Palomar, Andrea Goldsmith
Joint Optimization of Power and Data Transfer in Multiuser MIMO Systems. CoRR (2016)
Arnaud Breloy, Ying Sun, Prabhu Babu, Daniel Pérez Palomar
Block majorization-minimization algorithms for low-rank clutter subspace estimation. EUSIPCO (2016)
Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar
Robust rank constrained kronecker covariance matrix estimation. ACSSC (2016)
Ying Sun, Gesualdo Scutari, Daniel Pérez Palomar
Distributed nonconvex multiagent optimization over time-varying networks. ACSSC (2016)
Junxiao Song, Prabhu Babu, Daniel Pérez Palomar
Sequence design to minimize the peak sidelobe level. ICASSP (2016)
Konstantinos Benidis, Ying Sun, Prabhu Babu, Daniel Pérez Palomar
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation. CoRR (2016)
Maria Gregori, Miquel Payaró, Daniel Pérez Palomar
Sum-Rate Maximization for Energy Harvesting Nodes With a Generalized Power Consumption Model. IEEE Trans. Wirel. Commun. 15 (8) (2016)
Ying Sun, Prabhu Babu, Daniel Pérez Palomar
Robust Estimation of Structured Covariance Matrix for Heavy-Tailed Elliptical Distributions. IEEE Trans. Signal Process. 64 (14) (2016)
Yiyong Feng, Daniel Pérez Palomar
Portfolio optimization with asset selection and risk parity control. ICASSP (2016)
Tianyu Qiu, Prabhu Babu, Daniel Pérez Palomar
PRIME: Phase Retrieval via Majorization-Minimization. IEEE Trans. Signal Process. 64 (19) (2016)
Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar, Frédéric Pascal
A robust signal subspace estimator. SSP (2016)
Konstantinos Benidis, Ying Sun, Prabhu Babu, Daniel Pérez Palomar
Orthogonal sparse eigenvectors: A procrustes problem. ICASSP (2016)
Tianyu Qiu, Prabhu Babu, Daniel Pérez Palomar
PRIME: Phase Retrieval via Majorization-Minimization. CoRR (2015)
Yiyong Feng, Daniel Pérez Palomar
Linear support vector machines with normalizations. ICASSP (2015)
Junxiao Song, Prabhu Babu, Daniel Pérez Palomar
Optimization Methods for Designing Sequences With Low Autocorrelation Sidelobes. IEEE Trans. Signal Process. 63 (15) (2015)
Licheng Zhao, Prabhu Babu, Daniel Pérez Palomar
Robust low-rank optimization for large scale problems. ACSSC (2015)
Junxiao Song, Prabhu Babu, Daniel Pérez Palomar
Sparse Generalized Eigenvalue Problem Via Smooth Optimization. IEEE Trans. Signal Process. 63 (7) (2015)
Ying Sun, Prabhu Babu, Daniel Pérez Palomar
Regularized Robust Estimation of Mean and Covariance Matrix Under Heavy-Tailed Distributions. IEEE Trans. Signal Process. 63 (12) (2015)
Junxiao Song, Prabhu Babu, Daniel Pérez Palomar
Optimization Methods for Designing Sequences with Low Autocorrelation Sidelobes. CoRR (2015)
Yiyong Feng, Daniel Pérez Palomar, Francisco Rubio
Robust Optimization of Order Execution. IEEE Trans. Signal Process. 63 (4) (2015)
Ying Sun, Prabhu Babu, Daniel Pérez Palomar
Robust estimation of structured covariance matrix for heavy-tailed distributions. ICASSP (2015)
Tianyu Qiu, Prabhu Babu, Daniel Pérez Palomar
PRIME: Phase retrieval via majorization-minimization technique. ACSSC (2015)
Yiyong Feng, Daniel Pérez Palomar
SCRIP: Successive Convex Optimization Methods for Risk Parity Portfolio Design. IEEE Trans. Signal Process. 63 (19) (2015)
Antonio A. D'Amico, Luca Sanguinetti, Daniel Pérez Palomar
Convex Separable Problems With Linear Constraints in Signal Processing and Communications. IEEE Trans. Signal Process. 62 (22) (2014)
Ying Sun, Prabhu Babu, Daniel Pérez Palomar
Regularized robust estimation of mean and covariance matrix under heavy tails and outliers. SAM (2014)
Junxiao Song, Prabhu Babu, Daniel Pérez Palomar
Sparse Generalized Eigenvalue Problem via Smooth Optimization. CoRR (2014)
Yang Yang, Gesualdo Scutari, Daniel Pérez Palomar, Marius Pesavento
A Parallel Stochastic Approximation Method for Nonconvex Multi-Agent Optimization Problems. CoRR (2014)
Yang Yang, Gesualdo Scutari, Daniel Pérez Palomar
Parallel stochastic decomposition algorithms for multi-agent systems. SPAWC (2013)
Italo Atzeni, Luis Garcia Ordóñez, Gesualdo Scutari, Daniel Pérez Palomar, Javier Rodríguez Fonollosa
Cooperative day-ahead bidding strategies for demand-side expected cost minimization. ICASSP (2013)
Ronit Bustin, Miquel Payaró, Daniel Pérez Palomar, Shlomo Shamai
On MMSE Properties and I-MMSE Implications in Parallel MIMO Gaussian Channels CoRR (2012)
Yiyong Feng, Francisco Rubio, Daniel Pérez Palomar
Optimal order execution for algorithmic trading: A CVaR approach. SPAWC (2012)
Luis Garcia Ordóñez, Daniel Pérez Palomar, Javier Rodríguez Fonollosa
Fundamental diversity, multiplexing, and array gain tradeoff under different MIMO channel models. ICASSP (2011)
Antonio De Maio, Yongwei Huang, Daniel Pérez Palomar, Shuzhong Zhang, Alfonso Farina
Fractional QCQP With Applications in ML Steering Direction Estimation for Radar Detection. IEEE Trans. Signal Process. 59 (1) (2011)
Francisco Rubio, Xavier Mestre, Daniel Pérez Palomar
Asymptotic analysis and consistent estimation of high-dimensional Markowitz portfolios. CAMSAP (2011)
Miquel Payaró, Maria Gregori, Daniel Pérez Palomar
Yet another entropy power inequality with an application. WCSP (2011)
Yang Yang, Francisco Rubio, Gesualdo Scutari, Daniel Pérez Palomar
Multi-portfolio Optimization: A Potential Game Approach. GAMENETS (2011)
Jiaheng Wang, Gesualdo Scutari, Daniel Pérez Palomar
Robust MIMO Cognitive Radio Via Game Theory. IEEE Trans. Signal Process. 59 (3) (2011)
Gesualdo Scutari, Daniel Pérez Palomar, Francisco Facchinei, Jong-Shi Pang
Convex Optimization, Game Theory, and Variational Inequality Theory. IEEE Signal Process. Mag. 27 (3) (2010)
Jong-Shi Pang, Gesualdo Scutari, Daniel Pérez Palomar, Francisco Facchinei
Design of cognitive radio systems under temperature-interference constraints: a variational inequality approach. IEEE Trans. Signal Process. 58 (6) (2010)
Jiaheng Wang, Gesualdo Scutari, Daniel Pérez Palomar
Robust cognitive radio via game theory. ISIT (2010)
Gesualdo Scutari, Daniel Pérez Palomar
MIMO cognitive radio: a game theoretical approach. IEEE Trans. Signal Process. 58 (2) (2010)
Jong-Shi Pang, Gesualdo Scutari, Daniel Pérez Palomar, Francisco Facchinei
Design of cognitive radio systems under temperature-interference constraints: A variational inequality approach. ICASSP (2010)
Yongwei Huang, Daniel Pérez Palomar
A dual perspective on separable semidefinite programming with applications to optimal beamforming. ICASSP (2010)
Luis Garcia Ordóñez, Daniel Pérez Palomar, Javier Rodríguez Fonollosa
On the diversity, multiplexing, and array gain tradeoff in MIMO channels. ISIT (2010)
Antonio De Maio, Silvio De Nicola, Yongwei Huang, Daniel Pérez Palomar, Shuzhong Zhang, Alfonso Farina
Code design for radar STAP via optimization theory. IEEE Trans. Signal Process. 58 (2) (2010)
Eduard Calvo, Daniel Pérez Palomar, Javier Rodríguez Fonollosa, Josep Vidal
On the Computation of the Capacity Region of the Discrete MAC. IEEE Trans. Commun. 58 (12) (2010)
Ronit Bustin, Miquel Payaró, Daniel Pérez Palomar, Shlomo Shamai
On MMSE Properties and I-MMSE Implications in Parallel MIMO Gaussian Channels CoRR (2010)
Yongwei Huang, Daniel Pérez Palomar
A dual perspective on separable semidefinite programming with applications to optimal downlink beamforming. IEEE Trans. Signal Process. 58 (8) (2010)
Jiaheng Wang, Daniel Pérez Palomar
Robust MMSE precoding in MIMO channels with pre-fixed receivers. IEEE Trans. Signal Process. 58 (11) (2010)
Ronit Bustin, Miquel Payaró, Daniel Pérez Palomar, Shlomo Shamai
On MMSE properties and I-MMSE implications in parallel MIMO Gaussian channels. ISIT (2010)
Yongwei Huang, Daniel Pérez Palomar
Rank-constrained separable semidefinite programming with applications to optimal beamforming. IEEE Trans. Signal Process. 58 (2) (2010)
Svante Bergman, Daniel Pérez Palomar, Björn E. Ottersten
Joint bit allocation and precoding for MIMO systems with decision feedback detection. IEEE Trans. Signal Process. 57 (11) (2009)
Luis Garcia Ordóñez, Daniel Pérez Palomar, Alba Pagès-Zamora, Javier Rodríguez Fonollosa
Minimum BER linear MIMO transceivers with adaptive number of substreams. IEEE Trans. Signal Process. 57 (6) (2009)
Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa
The MIMO iterative waterfilling algorithm. IEEE Trans. Signal Process. 57 (5) (2009)
Jiaheng Wang, Daniel Pérez Palomar
Maximin robust design for MIMO communication systems against imperfect CSIT. ICASSP (2009)
Chee-Wei Tan, Daniel Pérez Palomar, Mung Chiang
Energy-robustness tradeoff in cellular network power control. IEEE/ACM Trans. Netw. 17 (3) (2009)
Yongwei Huang, Daniel Pérez Palomar
Rank-constrained separable semidefinite programming for optimal beamforming design. ISIT (2009)
Miquel Payaró, Daniel Pérez Palomar
Hessian and concavity of mutual information, differential entropy, and entropy power in linear vector Gaussian channels CoRR (2009)
Jiaheng Wang, Daniel Pérez Palomar
Correction to "worst-case robust MIMO transmission with imperfect channel knowledge". IEEE Trans. Signal Process. 57 (10) (2009)
Svante Bergman, Daniel Pérez Palomar, Björn E. Ottersten
Optimal Bit Loading for MIMO Systems with Decision Feedback Detection. VTC Spring (2009)
Jiaheng Wang, Daniel Pérez Palomar
Worst-case robust MIMO transmission with imperfect channel knowledge. IEEE Trans. Signal Process. 57 (8) (2009)
Miquel Payaró, Daniel Pérez Palomar
Hessian and concavity of mutual information, differential entropy, and entropy power in linear vector Gaussian channels. IEEE Trans. Inf. Theory 55 (8) (2009)
Luis Garcia Ordóñez, Daniel Pérez Palomar, Javier Rodríguez Fonollosa
Ordered Eigenvalues of a General Class of Hermitian Random Matrices With Application to the Performance Analysis of MIMO Systems. IEEE Trans. Signal Process. 57 (2) (2009)
Miquel Payaró, Daniel Pérez Palomar
On optimal precoding in linear vector Gaussian channels with arbitrary input distribution CoRR (2009)
Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa
Asynchronous Iterative Waterfilling for Gaussian Frequency-Selective Interference Channels CoRR (2008)
Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa
Competitive design of multiuser MIMO interference systems based on game theory: A unified framework. ICASSP (2008)
Daniel Pérez Palomar, Sergio Verdú
Lautum Information. IEEE Trans. Inf. Theory 54 (3) (2008)
Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa
Optimal Linear Precoding Strategies for Wideband Noncooperative Systems Based on Game Theory - Part I: Nash Equilibria. IEEE Trans. Signal Process. 56 (3) (2008)
Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa
Asynchronous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels. IEEE Trans. Inf. Theory 54 (7) (2008)
Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa
The MIMO Iterative Waterfilling Algorithm CoRR (2008)
Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa
Competitive Design of Multiuser MIMO Systems Based on Game Theory: A Unified View. IEEE J. Sel. Areas Commun. 26 (7) (2008)
Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa
Competitive Design of Multiuser MIMO Systems based on Game Theory: A Unified View CoRR (2008)
Xi Zhang, Daniel Pérez Palomar, Björn E. Ottersten
Statistically Robust Design of Linear MIMO Transceivers. IEEE Trans. Signal Process. 56 (8-1) (2008)
Narayan B. Mandayam, Stephen B. Wicker, Jean C. Walrand, Tamer Basar, Jianwei Huang, Daniel Pérez Palomar
Game Theory in Communication Systems [Guest Editorial]. IEEE J. Sel. Areas Commun. 26 (7) (2008)
Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa
Cognitive MIMO Radio: A Competitive Optimality Design Based on Subspace Projections CoRR (2008)
Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa
Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems Based on Game Theory - Part II: Algorithms. IEEE Trans. Signal Process. 56 (3) (2008)
Liwei Guo, Oscar C. Au, Mengyao Ma, Xiaopeng Fan, Peter H. W. Wong, Daniel Pérez Palomar
Image deblocking using convex optimization. ICIP (2008)
Luis Garcia Ordóñez, Daniel Pérez Palomar, Javier Rodríguez Fonollosa
Ordered Eigenvalues of a General Class of Hermitian Random Matrices and Performance Analysis of MIMO Systems. ICC (2008)
Eduard Calvo, Daniel Pérez Palomar, Javier Rodríguez Fonollosa, Josep Vidal
The computation of the capacity region of the discrete degraded BC is a nonconvex DC problem. ISIT (2008)
Miquel Payaró, Daniel Pérez Palomar
A multivariate generalization of Costa's entropy power inequality CoRR (2008)
Luis Garcia Ordóñez, Daniel Pérez Palomar, Alba Pagès-Zamora, Javier Rodríguez Fonollosa
High-SNR Analytical Performance of Spatial Multiplexing MIMO Systems With CSI. IEEE Trans. Signal Process. 55 (11) (2007)
Daniel Pérez Palomar, Sergio Verdú
Representation of Mutual Information Via Input Estimates. IEEE Trans. Inf. Theory 53 (2) (2007)
Mung Chiang, Chee-Wei Tan, Daniel Pérez Palomar, Daniel O'Neill, David Julian
Power Control By Geometric Programming. IEEE Trans. Wirel. Commun. 6 (7) (2007)
Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa
Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems based on Game Theory-Part II: Algorithms CoRR (2007)
Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa
Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems based on Game Theory-Part I: Nash Equilibria CoRR (2007)
Chee-Wei Tan, Daniel Pérez Palomar, Mung Chiang
Exploiting Hidden Convexity For Flexible And Robust Resource Allocation In Cellular Networks. INFOCOM (2007)
Yi Jiang, Daniel Pérez Palomar, Mahesh K. Varanasi
Precoder Optimization for Nonlinear MIMO Transceiver Based on Arbitrary Cost Function. CISS (2007)
Antonio Pascual-Iserte, Daniel Pérez Palomar, Ana I. Pérez-Neira, Miguel Angel Lagunas
A robust maximin approach for MIMO communications with imperfect channel state information based on convex optimization. IEEE Trans. Signal Process. 54 (1) (2006)
Daniel Pérez Palomar, Sergio Verdú
Gradient of mutual information in linear vector Gaussian channels. IEEE Trans. Inf. Theory 52 (1) (2006)
Daniel Pérez Palomar, Mung Chiang
A Tutorial on Decomposition Methods for Network Utility Maximization. IEEE J. Sel. Areas Commun. 24 (8) (2006)
Daniel Pérez Palomar, Yi Jiang
MIMO Transceiver Design via Majorization Theory. Found. Trends Commun. Inf. Theory 3 (4/5) (2006)
Daniel Pérez Palomar, Mung Chiang
Alternative Decompositions for Distributed Maximization of Network Utility: Framework and Applications. INFOCOM (2006)
Daniel Pérez Palomar, Sergio Barbarossa
Designing MIMO communication systems: constellation choice and linear transceiver design. IEEE Trans. Signal Process. 53 (10) (2005)
Daniel Pérez Palomar, Mats Bengtsson, Björn E. Ottersten
Minimum BER linear transceivers for MIMO channels via primal decomposition. IEEE Trans. Signal Process. 53 (8-1) (2005)
Mung Chiang, Jang-Won Lee, A. Robert Calderbank, Daniel Pérez Palomar, Maryam Fazel
Network utility maximization with nonconcave, coupled, and reliability-based uilities. SIGMETRICS (2005)
Daniel Pérez Palomar, Javier Rodríguez Fonollosa
Practical algorithms for a family of waterfilling solutions. IEEE Trans. Signal Process. 53 (2-1) (2005)
Daniel Pérez Palomar
Convex primal decomposition for multicarrier linear MIMO transceivers. IEEE Trans. Signal Process. 53 (12) (2005)
Daniel Pérez Palomar, Miguel Angel Lagunas, John M. Cioffi
Optimum linear joint transmit-receive processing for MIMO channels with QoS constraints. IEEE Trans. Signal Process. 52 (5) (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Daniel Pérez Palomar