Tirza Routtenberg

Orcid: 0000-0002-7238-7764

According to our database1, Tirza Routtenberg authored at least 78 papers between 2007 and 2024.

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Bibliography

2024
DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm.
IEEE Trans. Veh. Technol., 2024

Geometry Design for DOA Estimation in Seismic 2D-Arrays: Simulation Study.
IEEE Access, 2024

2023
Discriminative and Generative Learning for the Linear Estimation of Random Signals [Lecture Notes].
IEEE Signal Process. Mag., September, 2023

State Estimation in Partially Observable Power Systems via Graph Signal Processing Tools.
Sensors, February, 2023

Barankin-Type Bound for Constrained Parameter Estimation.
IEEE Trans. Signal Process., 2023

Widely-Linear MMSE Estimation of Complex-Valued Graph Signals.
IEEE Trans. Signal Process., 2023

GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering.
CoRR, 2023

Non-Bayesian Post-Model-Selection Estimation as Estimation Under Model Misspecification.
CoRR, 2023

Protection Against Graph-Based False Data Injection Attacks on Power Systems.
CoRR, 2023

Efficient Graph Laplacian Estimation by a Proximal Newton Approach.
CoRR, 2023

Invited Paper: Detection of False Data Injection Attacks in Power Systems Using a Secured-Sensors and Graph-Based Method.
Proceedings of the Stabilization, Safety, and Security of Distributed Systems, 2023

Quickest Inference of Susceptible-Infected Cascades in Sparse Networks.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Extended Kalman Filter for Graph Signals in Nonlinear Dynamic Systems.
Proceedings of the IEEE International Conference on Acoustics, 2023

Learned Kalman Filtering in Latent Space with High-Dimensional Data.
Proceedings of the IEEE International Conference on Acoustics, 2023

Periodic Fisher-Scoring Algorithm with Applications for DOA Estimation in Seismic Arrays.
Proceedings of the 26th International Conference on Information Fusion, 2023

Generative Versus Discriminative Data-Driven Graph Filtering of Random Graph Signals.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Sparse Graph Signal Recovery by the Graph-Based Multiple Generalized Information Criterion (GM-GIC).
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022
Bayesian Estimation of Graph Signals.
IEEE Trans. Signal Process., 2022

Non-Bayesian Parametric Missing-Mass Estimation.
IEEE Trans. Signal Process., 2022

Bayesian Periodic Cramér-Rao Bound.
IEEE Signal Process. Lett., 2022

Guest Editorial: Pervasive, Efficient, and Smart Signal Processing for IoT.
IEEE Internet Things Mag., 2022

GSP-Based MAP Estimation of Graph Signals.
CoRR, 2022

Structural-Constrained Methods for the Identification of False Data Injection Attacks in Power Systems.
IEEE Access, 2022

Detection of False Data Injection Attacks in Unobservable Power Systems by Laplacian Regularization.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

Estimation of the Admittance Matrix in Power Systems Under Laplacian and Physical Constraints.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Non-Bayesian Estimation Framework for Signal Recovery on Graphs.
IEEE Trans. Signal Process., 2021

Cramér-Rao Bound for Estimation After Model Selection and Its Application to Sparse Vector Estimation.
IEEE Trans. Signal Process., 2021

Resource Allocation and Dithering of Bayesian Parameter Estimation Using Mixed-Resolution Data.
IEEE Trans. Signal Process., 2021

Identification of Edge Disconnections in Networks Based on Graph Filter Outputs.
IEEE Trans. Signal Inf. Process. over Networks, 2021

Fight the Pandemic: Highlights From the 2020 IEEE 5-Minute Video Clip Contest [SP Competitions].
IEEE Signal Process. Mag., 2021

Bayesian Post-Model-Selection Estimation.
IEEE Signal Process. Lett., 2021

Partially Linear Bayesian Estimation Using Mixed-Resolution Data.
IEEE Signal Process. Lett., 2021

Total performance evaluation of intensity estimation after detection.
Signal Process., 2021

Low-complexity detection of small frequency deviation by the generalized LMPU test.
Signal Process., 2021

State Estimation in Unobservable Power Systems via Graph Signal Processing Tools.
CoRR, 2021

Post-Parameter-Selection Maximum-Likelihood Estimation.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

2020
Low-Complexity Methods for Estimation After Parameter Selection.
IEEE Trans. Signal Process., 2020

Detection of False Data Injection Attacks in Smart Grids Based on Graph Signal Processing.
IEEE Syst. J., 2020

Colored Noise in DOA Estimation from Seismic Data: an Empirical Study.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Cramér-Rao Bound for Constrained Parameter Estimation Using Lehmann-Unbiasedness.
IEEE Trans. Signal Process., 2019

Power Systems Topology and State Estimation by Graph Blind Source Separation.
IEEE Trans. Signal Process., 2019

Cramér-Rao Bound Under Norm Constraint.
IEEE Signal Process. Lett., 2019

Modeling and Recovery of Graph Signals and Difference-Based Signals.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Cyber Attack Localization in Smart Grids by Graph Modulation (Brief Announcement).
Proceedings of the Cyber Security Cryptography and Machine Learning, 2019

2018
Bobrovsky-Zakai-Type Bound for Periodic Stochastic Filtering.
IEEE Signal Process. Lett., 2018

New Cramer-Rao-Type Bound for Constrained Parameter Estimation.
CoRR, 2018

Limitations of Constrained CRB and an Alternative Bound.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Selective Cramér-Rao Bound For Estimation After Model Selection.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Detection of False Data Injection Attacks in Power Systems with Graph Fourier Transform.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Multivariate Bayesian Cramér-Rao-Type Bound for Stochastic Filtering Involving Periodic States.
Proceedings of the 21st International Conference on Information Fusion, 2018

2017
PMU-based online change-point detection of imbalance in three-phase power systems.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

Non-Bayesian estimation with partially quantized observations.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Optimal biased estimation using Lehmann-unbiasedness.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Blind estimation of states and topology (BEST) in power systems.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016
Estimation After Parameter Selection: Performance Analysis and Estimation Methods.
IEEE Trans. Signal Process., 2016

A New Class of Bayesian Cyclic Bounds for Periodic Parameter Estimation.
IEEE Trans. Signal Process., 2016

Two-stage estimation after parameter selection.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Mean-cyclic-error lower bounds via integral transform of likelihood-ratio function.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Cyclic Cramér-Rao-type bounds for periodic parameter estimation.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
Networked detection of voltage imbalances for three-phase power systems.
Proceedings of the 24th IEEE International Symposium on Industrial Electronics, 2015

Local detection of voltage imbalance in three-phase power systems based on PMU output.
Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015

Cyclic Bayesian Cramér-Rao bound for filtering in circular state space.
Proceedings of the 18th International Conference on Information Fusion, 2015

2014
Cyclic Barankin-Type Bounds for Non-Bayesian Periodic Parameter Estimation.
IEEE Trans. Signal Process., 2014

Joint frequency and phasor estimation in unbalanced three-phase power systems.
Proceedings of the IEEE International Conference on Acoustics, 2014

The Cramér-Rao bound for estimation-after-selection.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Non-Bayesian Periodic Cramér-Rao Bound.
IEEE Trans. Signal Process., 2013

Joint Frequency and Phasor Estimation Under the KCL Constraint.
IEEE Signal Process. Lett., 2013

Maximum likelihood estimation under partial sparsity constraints.
Proceedings of the IEEE International Conference on Acoustics, 2013

Bayesian cyclic bounds for periodic parameter estimation.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
A General Class of Outage Error Probability Lower Bounds in Bayesian Parameter Estimation.
IEEE Trans. Signal Process., 2012

Bayesian Parameter Estimation Using Periodic Cost Functions.
IEEE Trans. Signal Process., 2012

Performance bounds for constrained parameter estimation.
Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

2011
Periodic CRB for non-Bayesian parameter estimation.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Blind MIMO-AR system identification and source separation with finite-alphabet.
IEEE Trans. Signal Process., 2010

General Classes of Lower Bounds on the Probability of Error in Multiple Hypothesis Testing
CoRR, 2010

Classes of lower bounds on outage error probability and MSE in Bayesian parameter estimation
CoRR, 2010

2009
MIMO-AR system identification and blind source separation for GMM-distributed sources.
IEEE Trans. Signal Process., 2009

2007
MIMO-AR System Identification and Blind Source Separation using GMM.
Proceedings of the IEEE International Conference on Acoustics, 2007


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