Marta Zárraga-Rodríguez
Orcid: 0000-0002-1866-8004
According to our database1,
Marta Zárraga-Rodríguez
authored at least 20 papers
between 2015 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on dl.acm.org
On csauthors.net:
Bibliography
2023
Necessary and sufficient conditions for AR vector processes to be stationary: Applications in information theory and in statistical signal processing.
Appl. Math. Comput., May, 2023
IEEE Signal Process. Lett., 2023
2022
Low-Complexity Alternatives to the Optimal Linear Coding Scheme for Transmitting ARMA Sources.
Entropy, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
2021
2020
On the Asymptotic Optimality of a Low-Complexity Coding Strategy for WSS, MA, and AR Vector Sources.
Entropy, 2020
2019
On the topology design of large wireless sensor networks for distributed consensus with low power consumption.
Int. J. Distributed Sens. Networks, 2019
A Low-Complexity Analog Linear Coding Scheme for Transmitting Asymptotically WSS AR Sources.
IEEE Commun. Lett., 2019
A Low-Complexity and Asymptotically Optimal Coding Strategy for Gaussian Vector Sources.
Entropy, 2019
2018
Analysis of Known Linear Distributed Average Consensus Algorithms on Cycles and Paths.
Sensors, 2018
Entropy, 2018
Rate-Distortion Function Upper Bounds for Gaussian Vectors and Their Applications in Coding AR Sources.
Entropy, 2018
2017
Asymptotically Equivalent Sequences of Matrices and Capacity of a Discrete-Time Gaussian MIMO Channel With Memory.
IEEE Trans. Inf. Theory, 2017
In-Network Computation of the Optimal Weighting Matrix for Distributed Consensus on Wireless Sensor Networks.
Sensors, 2017
Upper Bounds for the Rate Distortion Function of Finite-Length Data Blocks of Gaussian WSS Sources.
Entropy, 2017
On the Complexity Reduction of Coding WSS Vector Processes by Using a Sequence of Block Circulant Matrices.
Entropy, 2017
2016
Appl. Math. Comput., 2016
2015
Experience: Information Dimensions Affecting Employees' Perceptions Towards Being Well Informed.
ACM J. Data Inf. Qual., 2015
Information practices and competences that evidence information capability in a company.
Inf. Res., 2015