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Publications

The following list contains selected publications that have been authored or co-authored by Michael Muma. 

Full List of Publications (PDF)

Book

A. M. Zoubir, V. Koivunen, E. Ollila, and M. Muma.

Robust Statistics for Signal Processing

Cambridge University Press, 2018

Understand the benefits of robust statistics for signal processing with this authoritative yet accessible text. The first ever book on the subject, it provides a comprehensive overview of the field, moving from fundamental theory through to important new results and recent advances. Topics covered include advanced robust methods for complex-valued data, robust covariance estimation, penalized regression models, dependent data, robust bootstrap, and tensors.

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Selected Journal Publications

Terminating-Random Experiments (T-Rex) Methods

J. Machkour, M. Muma and D. P. Palomar

The Terminating-Random Experiments Selector: Fast High-Dimensional Variable Selection with False Discovery Rate Control

Preprint: https://arxiv.org/abs/2110.06048

J. Machkour, M. Muma and D. P. Palomar

High-Dimensional False Discovery Rate Control for Dependent Variables

Preprint: https://arxiv.org/abs/2401.15796

Robust Clustering and Community Detection

C. A. Schroth and M. Muma
Real Elliptically Skewed Distributions and Their Application to Robust Cluster Analysis
In: IEEE Transactions on Signal Processing 69.1 (June 2021), pp. 3947–3962

A. Tastan, M. Muma, and A. M. Zoubir

Fast and Robust Sparsity-Aware Block Diagonal representation

In: IEEE Transactions on Signal Processing 72 (December 2023), pp. 305-320

C. A. Schroth and M. Muma
Robust M-Estimation Based Bayesian Cluster Enumeration for Real Elliptically Symmetric Distributions

In: IEEE Transactions on Signal Processing 69 (Apr. 2021), pp. 3525–3540

A. Tastan, M. Muma, and A. M. Zoubir
Sparsity-aware Robust Community Detection (SPARCODE)
In: Signal Processing (2021), p. 108147
F. K. Teklehaymanot, M. Muma, and A. M. Zoubir
Robust Bayesian Cluster Enumeration Based on the t Distribution

In: Signal Processing 182 (2021), p. 107870

F. K. Teklehaymanot, M. Muma, and A. M. Zoubir
Bayesian Cluster Enumeration Criterion for Unsupervised Learning
In: IEEE Transactions Signal Processing 66.20 (Oktober 2018), pp. 5392–5406
P. Binder, M. Muma, and A. M. Zoubir
Gravitational Clustering: A Simple, Robust and Adaptive Approach for Distributed Networks
In: Signal Processing 149 (2018), pp. 36–48

Robustness in Complex Data Structures

J. Machkour, M. Muma, B. Alt, and A. M. Zoubir
A Robust Adaptive Lasso Estimator for the Independent Contamination Model
In: Signal Processing 174 (Sept. 2020). Art. 107608
M. Muma and A. M. Zoubir
Bounded Influence Propagation τ-Estimation: A New Robust Method for ARMA Models
In: IEEE Transactions on Signal Processing 65.7 (Dezember 2016), pp. 1712–1727
W. Sharif, M. Muma, and A. M. Zoubir
Robustness Analysis of Spatial Time-Frequency Distributions Based on the Influence Function
In: IEEE Transactions on Signal Processing 61.8 (2013), pp. 1958–1971

Signal Processing Education and Tutorial Material

T. Schäck, M. Muma, and A. M. Zoubir
Signal Processing Projects at Technische Universit¨at Darmstadt: How to engage undergraduate students in signal processing practice
In: IEEE Signal Processing Magazine 34.1 (Jan. 2017), pp. 16–30
A. M. Zoubir, V. Koivunen, Y. Chakhchoukh, and M. Muma
Robust Estimation in Signal Processing
In: IEEE Signal Processing Mag. 29.4 (2012), pp. 61–80.

Advanced Biomedical Applications

C. A. Schroth, C. Eckrich, I. Kakouche, S. Fabian, O. v. Stryk, A. M. Zoubir, and M. Muma

Emergency response person localization and vital sign estimation using a semi-autonomous robot mounted SFCW radar

In: IEEE Transactions on Biomedical Engineering 71.6 (June 2024), pp. 1756–1769

T. Schäck, M. Muma, M. Feng, C. Guan, and A. M. Zoubir
Robust Nonlinear Causality Analysis of Non-Stationary Multivariate Physiological Time Series
In: IEEE Transactions on Biomedical Engineering 65.6 (June 2018), pp. 1213–1225
T. Schäck, M. Muma, W. Alkhaldi, and A. M. Zoubir
A procedure to locate the eyelid position in noisy videokeratoscopic images
In: EURASIP Journal on Advances in Signal Processing: Nonlinear signal and image processing – a Special Issue in honour of Giovanni L. Sicuranza on his seventy-fifth birthday 2016.1 (2016), p. 136
M. Muma, D. R. Iskander, and M. J. Collins
The Role of Cardiopulmonary Signals in the Dynamics of the Eye’s Wavefront Aberrations
In: IEEE Transactions on Biomedical Engineering 57.2 (2010), pp. 373–383.
A. Kelava, M. Muma, M. Deja, J. Y. Dagdagan, and A. M. Zoubir
A new approach for the quantification of synchrony of multivariate non-stationary psychophysiological variables during emotion eliciting stimuli
In: Frontiers in Psychology 5 (Jan. 2015)

Robust Methods for Sensor Networks

S. Al-Sayed, J Plata-Chaves, M. Muma, M. Moonen, and A. M. Zoubir
Node-Specific Diffusion LMS-Based Distributed Detection Over Adaptive Networks

In: IEEE Transactions on Signal Processing 66.3 (Feb. 2018), pp. 682–697

L. Carlino, D. Jin, M. Muma, and A. M. Zoubir
Robust Distributed Cooperative RSS-based Localization for Directed Graphs in Mixed LoS/NLoS Environments
In: EURASIP Journal on Wireless Communications and Networking (2019) 2019.19 (2019)
P. Binder, M. Muma, and A. M. Zoubir
Robust and Adaptive Diffusion-based Classification in Distributed Networks
In: EURASIP Journal on Advances in Signal Processing: Advances in adaptive filtering theory and applications to acoustic and speech signal processing 2016.1 (2016), pp. 1–13