Orthogonal projections derived from localization operators. - Monika Dörfler; Hans G. Feichtinger (EUSIPCO, 2004)

Representation of Operators in the Time-Frequency Domain and Generalzed Gabor Multipliers. - Monika Dörfler; Bruno Torrésani (Structured Decompositions and Efficient Algorithms, 2008)

A time-frequency method for increasing the signal-to-noise ratio in system identification with exponential sweeps. - Piotr Majdak; Péter Balázs; Wolfgang Kreuzer; Monika Dörfler (ICASSP, 2011)

Advantages of nonstationary gabor transforms in beat tacking. - Andre Holzapfel; Gino Angelo M. Velasco; Nicki Holighaus; Monika Dörfler; Arthur Flexer (MIRUM, 2011)

Quilted Gabor frames - A new concept for adaptive time-frequency representation. - Monika Dörfler (Adv. Appl. Math., 2011)

Theory, implementation and applications of nonstationary Gabor frames. - Péter Balázs; Monika Dörfler; Florent Jaillet; Nicki Holighaus; Gino Angelo M. Velasco (J. Comput. Appl. Math., 2011)

Allocating, Detecting and Mining Sound Structures: An Overview of Technical Tools. - Monika Dörfler (AIAI (2), 2012)

Sparse Gabor Multiplier Estimation for Identification of Sound Objects in Texture Sound. - Monika Dörfler; Ewa Matusiak (CMMR, 2013)

Adapted and Adaptive Linear Time-Frequency Representations: A Synthesis Point of View. - Péter Balázs; Monika Dörfler; Matthieu Kowalski; Bruno Torrésani (IEEE Signal Process. Mag., 2013)

A Framework for Invertible, Real-Time Constant-Q Transforms. - Nicki Holighaus; Monika Dörfler; Gino Angelo M. Velasco; Thomas Grill (IEEE Trans. Speech Audio Process., 2013)

Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators. - Matthieu Kowalski; Kai Siedenburg; Monika Dörfler (IEEE Trans. Signal Process., 2013)

Adaptive Gabor frames by projection onto time-frequency subspaces. - Monika Dörfler; Gino Angelo M. Velasco (ICASSP, 2014)

Audio declipping with social sparsity. - Kai Siedenburg; Matthieu Kowalski; Monika Dörfler (ICASSP, 2014)

A Matlab Toolbox for Efficient Perfect Reconstruction Time-Frequency Transforms with Log-Frequency Resolution. - Christian Schörkhuber; Anssi Klapuri; Nicki Holighaus; Monika Dörfler (Semantic Audio, 2014)

Nonstationary Gabor frames - Existence and construction. - Monika Dörfler; Ewa Matusiak (Int. J. Wavelets Multiresolution Inf. Process., 2014)

Nonstationary Gabor frames - approximately dual frames and reconstruction errors. - Monika Dörfler; Ewa Matusiak (Adv. Comput. Math., 2015)

Gabor frames and deep scattering networks in audio processing. - Roswitha Bammer; Monika Dörfler (CoRR, 2017)

Basic Filters for Convolutional Neural Networks: Training or Design? - Monika Dörfler; Thomas Grill; Roswitha Bammer; Arthur Flexer (CoRR, 2017)

A Phase Vocoder Based on Nonstationary Gabor Frames. - Emil Solsbæk Ottosen; Monika Dörfler (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Hubness as a Case of Technical Algorithmic Bias in Music Recommendation. - Arthur Flexer; Monika Dörfler; Jan Schlüter; Thomas Grill (ICDM Workshops, 2018)

On the Symplectic Covariance and Interferences of Time-Frequency Distributions. - Elena Cordero; Maurice A. de Gosson; Monika Dörfler; Fabio Nicola (SIAM J. Math. Anal., 2018)

Improving Machine Hearing on Limited Data Sets. - Pavol Harár; Roswitha Bammer; Anna Breger; Monika Dörfler; Zdenek Smékal (ICUMT, 2019)

Learning Complex Basis Functions for Invariant Representations of Audio. - Stefan Lattner; Monika Dörfler; Andreas Arzt (ISMIR, 2019)

Gabor Frames and Deep Scattering Networks in Audio Processing. - Roswitha Bammer; Monika Dörfler; Pavol Harár (Axioms, 2019)

On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems. - Anna Breger; José Ignacio Orlando; Pavol Harár; Monika Dörfler; Sophie Klimscha; Christoph Grechenig; Bianca S. Gerendas; Ursula Schmidt-Erfurth; Martin Ehler (CoRR, 2019)

Machines listening to music: the role of signal representations in learning from music. - Roswitha Bammer; Anna Breger; Monika Dörfler; Pavol Harár; Zdenek Smékal (CoRR, 2019)

Generalized Born-Jordan distributions and applications. - Elena Cordero; Maurice A. de Gosson; Monika Dörfler; Fabio Nicola (Adv. Comput. Math., 2020)

On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. - Anna Breger; José Ignacio Orlando; Pavol Harár; Monika Dörfler; Sophie Klimscha; Christoph Grechenig; Bianca S. Gerendas; Ursula Schmidt-Erfurth; Martin Ehler (J. Math. Imaging Vis., 2020)

Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. - Anna Breger; José Ignacio Orlando; Pavol Harár; Monika Dörfler; Sophie Klimscha; Christoph Grechenig; Bianca S. Gerendas; Ursula Schmidt-Erfurth; Martin Ehler (J. Math. Imaging Vis., 2020)

Basic filters for convolutional neural networks applied to music: Training or design? - Monika Dörfler; Thomas Grill; Roswitha Bammer; Arthur Flexer (Neural Comput. Appl., 2020)

Local Structure and effective Dimensionality of Time Series Data Sets. - Monika Dörfler; Franz Luef; Eirik Skrettingland (CoRR, 2021)

Redistributor: Transforming Empirical Data Distributions. - Pavol Harár; Dennis Elbrächter; Monika Dörfler; Kory D. Johnson (CoRR, 2022)